In a so-called “Metro” network, a high data capacity or “hub” node communicates with multiple low data capacity “leaf” nodes. By providing such low capacity nodes, the overall system cost is reduced relative to a system in which the leaf nodes also have high capacity. In the metro network, the hub node transmits optical signals in a downlink or downstream direction to the leaf nodes and each such leaf node transmits signals in the upstream direction to the hub node.
Consistent with the present disclosure, a network is provided that includes a hub or primary node and a plurality of leaf or secondary nodes. In the downlink direction, optical signals output from the primary node may be supplied to an optical splitter, which may supply a power-split portion of each optical signal to a corresponding secondary nodes. That is, the optical signals output from primary node are broadcast to the secondary nodes by the optical splitter. Preferably, coherent detection is employed in each secondary node to achieve high receiver sensitivity and to extract amplitude, frequency, and phase information from the received optical signals, and, therefore, higher capacity in the same bandwidth than what may be obtained with direct detection.
The coherent receiver in each secondary node includes, for example, a local oscillator laser, an optical hybrid circuit, and a photodiode circuit, such as a balanced photodiode or detector. The local oscillator laser, in conjunction with the optical hybrid circuit serve to “beat” with the incoming optical signals from the primary node to down convert the received optical signals to the baseband. Tuning the local oscillator laser to a desired frequency may, therefore, permit selection of a particular incoming optical signal frequency associated with a particular secondary node.
In the uplink direction, optical signals are transmitted from each secondary node are combined by an optical combiner and output to the primary node. One approach to detecting such optical signals involves providing a local oscillator laser and optical hybrid circuit for each optical signal. Thus, for example, in this scenario, if eight secondary nodes are provided in a network, eight local oscillator lasers and optical hybrid circuits would be provided in the primary node in order to coherently detect a corresponding one of the optical signals transmitted by secondary nodes. Including such local oscillator lasers and optical hybrid circuits in the primary node increases the cost of the primary node as well as the complexity of the primary node.
Consistent with the present disclosure, however, each secondary node local oscillator laser supplies light that is used for both coherent detection and transmission and the frequency of such light is synced or synchronized with the primary node laser. Put another way, each secondary node laser has a frequency that is controlled to be the same as or minimally offset from the primary node laser, such that, the optical signals supplied to the primary node from the secondary nodes have the same or are minimally offset from the primary node laser. In one example, only one primary node laser and optical hybrid circuit is required to coherently detect the uplink optical signals transmitted from the primary nodes.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate one (several) embodiment(s) and together with the description, serve to explain the principles of the invention.
Consistent with the present disclosure a network is provided that includes a primary node and a plurality of secondary nodes. The primary node, as well as each of the secondary nodes, includes a laser that is “shared” between the transmit and receive sections. That is, light output from the laser is used for transmission as well as for coherent detection. In the coherent receiver, the frequency of the primary node laser is detected and, based on such detected frequency, the frequency of the secondary node laser is adjusted to detect the received information or data. Such frequency detection also serves to adjust the transmitted signal frequency, because the laser is shared between the transmit and receive portions in each secondary receiver. Light output from the primary node laser, which is also shared between transmit and receive portions in the primary node, is thus also set to a frequency that permits detection of each of the incoming optical signals by way of coherent detection. Since, in this example, only one laser is employed in the primary node, the primary node may have a simpler design and may be less expensive to manufacture compared to a primary node having multiple local oscillator lasers, each associated with a corresponding uplink optical signal. Consistent with a further aspect of the present disclosure, each optical signal input to the primary node includes, for example, an optical subcarrier, and, in a further example, each such optical subcarrier is a Nyquist subcarrier. In addition, the light output from the primary node laser is modulated to provide a modulated optical signal including, in one example, optical subcarriers, which are Nyquist optical subcarriers in a further example.
Reference will now be made in detail to the present embodiments of the present disclosure, an examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts.
As further shown in
As further shown in
In another example, subcarriers may be transmitted in both an upstream and downstream direction over the same optical communication path. In particular, selected subcarriers may be transmitted in the downstream direction from primary node 110 to secondary nodes 112, and other subcarriers may be transmitted in the upstream direction from secondary nodes 112 to primary node 110.
In some implementations, network 100 may include additional primary and/or secondary nodes and optical communication paths, fewer primary and/or secondary nodes and optical communication paths or may have a configuration different from that described above. For example, network 100 may have a mesh configuration or a point-to-point configuration.
It is understood that primary node transmitter 202 may have a similar construction as secondary node transmitter 304 and primary node receiver 204 may have a similar construction as secondary node receiver 302. The components that are included in primary node 110, however, may support a higher bandwidth than the components included in secondary node 112. In one example, such higher bandwidth is realized as the number of optical subcarriers that may be transmitted the primary and secondary nodes, such that primary node 110, transmits more subcarriers and processes more received subcarriers than each of secondary nodes 112.
Each of nodes 112 has an associated bandwidth BW or frequency range encompassing frequencies of subcarriers, which can be processed to output data, by a given node 112. Example bandwidths of each of secondary nodes 112 are further shown in
As further shown in
As further shown in
In a further example, subcarriers SC2, SC7, SC12, and SC17 are modulated to carry control or operations administration and maintenance (OAM) information and related data corresponding to parameters associated therewith, such as the capacity and status of nodes 112. In an additional example, subcarrier SC2 is modulated carry such control and parameter information associated with node 112-j, subcarrier SC7 is modulated to carry such control and parameter information associated with node 112-k, subcarrier SC12 is modulated to carry such control and parameter information associated with node 112-l and subcarrier SC17 is modulated to carry such control and parameter information associated with node 112-m.
As discussed in greater detail below, the optical subcarriers are generated by modulating light output from a laser. The frequency of such light, f_laser, in one example, has a value midway between the uppermost and lowermost frequencies of the generated subcarriers, such as frequencies f1 and f20.
As further shown in
Splitter 299-2 supplies a first portion of the received light from tap 251 to Tx D/A and Optics Block 901 and a second portion of the received light from tap 251, as a local oscillator signal, to Rx A/D and Optics Block 110. As discussed in greater detail below, Rx A/D and Optics Block outputs electrical signals 1100-1 to Rx DSP 1150 based on the input local oscillator signal from splitter 299-2 as well as subcarriers input to block 1100 from optical communication path or fiber 113.
Based on electrical signals 1100-1, Rx DSP 1150 outputs data streams D-1′ to D-n′, each of which being associated with or corresponding to information carried by a respective one of optical subcarriers. It is noted, however, that, in one example, the number of data streams D-1′ to D-n′ is less than a number of optical subcarriers input to Rx A/D and Optics block 1100.
Rx DSP 1150 also outputs a first signal 1150-1, for example, a first electrical signal, indicative of the frequency of one or more of the optical subcarriers to a circuit, such as control circuit 254-1. In addition, in one example, control circuit 254-1 receives a second signal, for example, a second electrical signal, from wavelength locker (WLL) circuit 253 indictive of the frequency of light output from tap 251 to WLL 253. In the example, shown in
In another example, temperature controlling element is a thermoelectric cooler (TEC).
In various embodiments, the control circuit 254-1 may be implemented in hardware on a printed circuit board, for example, using inductors, resistors, capacitors, etc. Optionally, in one example, control circuit 254-1 may be implemented to include a microprocessor, such as microprocessor 254 shown in
Thus, the control signal output from control circuit 254-1 is based, at least in part, on a frequency of an incoming primary node modulated optical signal, such as a frequency associated with one or more of the received optical subcarriers. Accordingly, the frequency of the light or optical signal output from laser 299-1 is based on a frequency associated with the primary node modulated optical signal. In one example, the frequency of light output from laser 299-1 may be controlled to be equal to or substantially equal to the frequency of light output from laser 199-1, f_laser. Put another way, the frequency of the light output from the lasers in each of secondary nodes 112 may be synchronized to the light output from laser 199-1 in primary node 110.
As discussed in greater detail below, a first portion of the light output from laser 299-1, having a frequency controlled or adjusted as noted above, is provided to Rx A/D and Optics Block 1100 and a second portion of such light is provided to Tx D/A and Optics Block 901. Based on data D-1 to D-n supplied Tx DSP 902, electrical signals are output from Tx DSP 902 to Tx D/A and Optics Block 901, and, based on such electrical signals, the second light portion is modulated to provide a modulated optical signal including at least one optical subcarrier that is transmitted upstream to primary node 110. Thus, the frequency of such subcarrier is based on a frequency associated with the primary node optical signal received by secondary node 112. The one or more subcarriers output from the secondary node may be similar to that discussed above in connection with
In the primary node, a portion of light output from one laser, e.g., laser 199-1, may be used as a local oscillator signal for detecting subcarriers provided from each of secondary nodes 112. Since the frequencies of the secondary node optical subcarriers are based on the frequency of light output from laser 199-1, separate local oscillators to detect optical subcarriers output from each secondary node are unnecessary and the cost of primary node 110 may be reduced. Rather, light output from laser 199-1 may serve as a local oscillator signal to detect each of the received optical subcarriers from secondary nodes 112. As a result, system cost and complexity may be reduced.
Details of the structure and operation of Rx DSP 1150, Rx A/D and Optics Block 1100, Tx DSP 902, and Tx D/A and Optics Block 901 will next be described.
Rx A/D and Optics Block 1100 is shown in greater detail in
Polarization beam splitter (PBS) 1105 may include a polarization splitter that receives an input polarization multiplexed optical signal including optical subcarriers, such as SC0 to SC19, from primary node 110 via optical communication path 113. Optical communication path 113 includes, for example, an optical fiber segment, as noted above. PBS 1105 may split the incoming optical signal into the two X and Y orthogonal polarization components. The Y component may be supplied to a polarization rotator 1106 that rotates the polarization of the Y component to have the X polarization. Hybrid mixers or 90 degree optical hybrid circuits 1120 may combine the X and rotated Y polarization components with light from local oscillator laser 1110, which, in one example, is a tunable laser. For example, hybrid mixer 1120-1 may combine a first polarization signal (e.g., the component of the incoming optical signal having a first or X (TE) polarization output from a first PBS port with light from local oscillator 1110, and hybrid mixer 1120-2 may combine the rotated polarization signal (e.g., the component of the incoming optical signal having a second or Y (TM) polarization output from a second PBS port) with the light from local oscillator 1110. In one example, polarization rotator 1190 may be provided at the PBS output to rotate Y component polarization to have the X polarization.
Detectors 1130 may detect mixing products output from the optical hybrids, to form corresponding voltage signals, which are subject to AC coupling by capacitors 1132-1 and 1132-1, as well as amplification and gain control by TIA/AGCs 1134-1 and 1134-2. The outputs of TIA/AGCs 1134-1 and 1134-2 and ADCs 1140 may convert the voltage signals to digital samples. For example, two detectors (e.g., photodiodes) 1130-1 may detect the X polarization signals to form the corresponding voltage signals, and a corresponding two ADCs 1140-1 may convert the voltage signals to digital samples (XI, XQ) for the first polarization signals after amplification, gain control and AC coupling. Similarly, two detectors 1130-2 may detect the rotated Y polarization signals to form the corresponding voltage signals, and a corresponding two ADCs 1140-2 may convert the voltage signals to digital samples (YI, YQ) for the second polarization signals after amplification, gain control and AC coupling. RX DSP 1150 may process the digital samples associated with the X and Y polarization components to output data associated with one or more subcarriers within a group of subcarriers SC0 to SC19 encompassed by the bandwidth (one of bandwidths BWj, BWk, BWl, and BWm) associated with the secondary node housing the particular Rx DSP 1150.
While
Consistent with the present disclosure, in order to select a particular subcarrier or group of subcarriers at a secondary node 112, local oscillator 1110 may be tuned to output light having a wavelength or frequency relatively close to the selected subcarrier wavelength(s) to thereby cause a beating between the local oscillator light and the selected subcarrier(s). Such beating will either not occur or will be significantly attenuated for the other non-selected subcarriers so that data carried by the selected subcarrier(s) is detected and processed by Rx DSP 1150.
Rx DSP 1150 will next be described with reference to
The frequency components then may be demultiplexed by demultiplexer 1211-1, and groups of such components may be supplied to a respective one of chromatic dispersion equalizer circuits CDEQ 1212-1-0 to 1212-1-n, each of which may include a finite impulse response (FIR) filter that corrects, offsets or reduces the effects of, or errors associated with, chromatic dispersion of the transmitted optical subcarriers. Each of CDEQ circuits 1212-1-0 to 1212-1-n supplies an output to a corresponding polarization mode dispersion (PMD) equalizer circuit 1225-0 to 1225-n (which individually or collectively may be referred to as 1225).
Digital samples output from A/D circuits 640-2 associated with Y polarization components of subcarrier SC1 may be processed in a similar manner to that of digital samples output from A/D circuits 1240-1 and associated with the X polarization component of each subcarrier. Namely, overlap and save buffer 1205-2, FFT 1210-2, demultiplexer 1211-2, and CDEQ circuits 1212-2-0 to 1212-2-n may have a similar structure and operate in a similar fashion as buffer 1205-1, FFT 1210-1, demultiplexer 122-1, and CDEQ circuits 1212-1-0 to 1212-1-n, respectively. For example, each of CDEQ circuits 1212-2-0 to 1212-n may include an FIR filter that corrects, offsets, or reduces the effects of, or errors associated with, chromatic dispersion of the transmitted optical subcarriers. In addition, each of CDEQ circuits 1212-2-0 to 1212-2-n provide an output to a corresponding one of PMDEQ 1225-0 to 1225-n.
As further shown in
Returning to
Time domain signals or data output from IFFT 1230-0-1 to 1230-n-1 are supplied to carrier recovery component (CRC) 460, which may apply carrier recovery techniques to compensate for X polarization linewidths and Y polarization linewidths. In some implementations, CRC 460 may compensate or correct for frequency and/or phase differences between the X polarization of the transmit signal and the X polarization of light from laser 299-1 based on an output of CRC 460, which performs carrier recovery in connection with one of the subcarrier based on the outputs of IFFTs 1230. After such X polarization carrier phase correction, the data associated with the X polarization component may be represented as symbols having the complex representation xi+j*xq in a constellation, such as a QPSK constellation or a constellation associated with another modulation formation, such as an m-quadrature amplitude modulation (QAM), m being an integer. In some implementations, the taps of the FIR filter included in one or more of PMDEQ circuits 1225 may be updated based on one or more outputs associated with CRC 460.
In a similar manner, time domain signals or data output from IFFT 1230-0-2 to 1230-n-2 are also supplied to CRC 460, which may compensate or correct for Y polarization linewidths. In some implementations, CRC 460 also may correct or compensate for frequency and/or phase differences between the Y polarization of the transmit signal and the Y polarization of light from laser 299-1. After such Y polarization carrier phase correction, the data associated with the Y polarization component may be represented as symbols having the complex representation yi+j*yq in a constellation, such as a QPSK constellation or a constellation associated with another modulation formation, such as an m-quadrature amplitude modulation (QAM), m being an integer. In some implementations, one or more outputs of CRC 460 may be used to update the taps of the FIR filter included in one or more of PMDEQ circuits 1225.
As further shown in
Each of the symbols-to-bits circuits or components 1245-0-1 to 1245-n-1 may receive the symbols output from CRC 460. For example, each of the symbol-to-bits components 1245-0-1 to 1245-n-1 may map one X polarization symbol, in a QPSK or m-QAM constellation, to Z bits, where Z is an integer. For dual-polarization QPSK modulated subcarriers, Z is four. Bits output from each of component 1245-0-1 to 1245-n-1 are provided to a corresponding one of FEC decoder circuits 1260-0 to 1260-n.
Y polarization symbols are output form a respective one of circuits 1240-0-2 to 1240-n-2, each of which has the complex representation yi+j*yq associated with data carried by the Y polarization component. Each Y polarization, like the X polarization symbols noted above, may be provided to a corresponding one of bit-to-symbol circuits or components 1245-0-2 to 1245-n-2, each of which has a similar structure and operates in a similar manner as symbols-to-bits component 1245-0-1 to 1245-n-1. Each of circuits 1245-0-2 to 1245-n-2 may provide an output to a corresponding one of FEC decoder circuits 1260-0 to 1260-n.
Each of FEC decoder circuits 1260 may remove errors in the outputs of symbol-to-bit circuits 1245 using, for example, forward error correction. Such error corrected bits, which may include user data for output from secondary node 112, may be supplied to a corresponding one of data outputs D-0′ to D-n′.
While
As noted above with respect to
As shown in
Carrier recovery component (CRC) 460 may receive an input signal (e.g., outputs from IFFTs 1230, and may pass the input signal to FIFO Delay 505, which may delay the input signal to compensate for delay introduced by operations performed by other components of CRC 460 (e.g., components 515-550) prior to an adjustment signal being received by multiplier component 510. Multiplier component 510 may receive the input signal from FIFO Delay 505, and may adjust the input signal (e.g., via multiplication, rotation, etc.) using an adjustment signal received from LUT 550. For example, multiplier component 510 may adjust a phase of the input signal using an output phase value received from LUT 550. Multiplier component 510 may output the adjusted signal as an output signal from CRC 460, and may further output the adjusted signal to a feedback loop that includes phase difference estimate component 560.
CRC 460 may also pass the input signal to FAPC 515. Components 515-550 may operate on the input signal to determine the output phase value to be provided to multiplier 510. Components 555 and 560 may be included in a feedback loop that determines feedback signals to be used to adjust operations of components 515-550 (e.g., FAPC 515).
As further shown in
As shown in
The number of components shown in
In some implementations, FAPC 515 may compensate the frequency of the input signal(s) using a frequency estimate value (FreqEstVal) received from frequency estimate component (FE) 555, determined as described elsewhere herein.
Additionally, or alternatively, FAPC 515 may compensate a phase difference between the X polarization and the Y polarization for each sub-carrier using a first phase difference value (phiDiff_1, or ϕdiff1) received from PDE 560, determined as described elsewhere herein. In some implementations, the quantity of phiDiff 1 values received from PDE 560 may correspond to the quantity of sub-carriers. For example, PDE 560 is shown as providing four phiDiff_1 values to FAPC 515 (e.g., phiDiff_1[0], phiDiff_1[1], phiDiff_1[2], and phiDiff_1[3]), where the values of 0-3 correspond to the 4 sub-carriers of example implementation 600.
Additionally, or alternatively, FAPC 515 may compensate a phase difference between different sub-carriers using a second phase difference value (phiDiff_2, or ϕdiff2) received from PDE 560, determined as described elsewhere herein. In some implementations, the quantity of phiDiff_2 values received from PDE 560 may correspond to the quantity of sub-carriers. For example, PDE 560 is shown as providing four phiDiff_2 values to FAPC 515 (e.g., phiDiff_2[0], phiDiff_2[1], phiDiff_2[2], and phiDiff_2[3]), where the values of 0-3 correspond to the 4 sub-carriers of example implementation 600.
For each sub-carrier s, FAPC 515 may compensate a sample received via the sub-carrier, based on input received from FE 555 and PDE 560, as follows:
x′s[n]=xs[n]×e−j[XCompValue
y′s[n]=ys[n]×e−j[YCompValue
In the above equations, x′s[n] and y′s[n] may represent the frequency and phase compensated symbols, for the nth sample (or at time n) of sub-carrier s, calculated by FAPC 515 for the X polarization and the Y polarization, respectively. Furthermore, xs[n] and ys[n] may represent the input symbols before adjustment, e may represent Euler's number (e.g., the mathematical constant e≈2.71828), j may represent the imaginary component of the sample (e.g., the square root of −1), and XCompValues[n] and YCompValues[n] may represent X polarization and Y polarization compensation values, respectively, to be applied to the input symbols by FAPC 515. In some implementations, XCompValues[n] and YCompValues[n] may be represented as follows:
In the above equations, FreqEstVal may represent the frequency estimate value received from FE 555, ϕdiff1 may represent the first phase difference value received from PDE 560, and ϕdiff2 may represent the second phase difference value received from PDE 560. As used herein, a frequency compensation value may refer to the frequency estimate value (FreqEstVal), an integral of the frequency estimate value (e.g., from ninitial to nfinal, such as from negative infinity to n), or the like. As used herein, a phase compensation value may refer to the first phase difference value (e.g., ϕdiff1), the second phase difference value (e.g., ϕdiff2), a mathematical combination of the first phase difference value and the second phase difference value (e.g.,
or the like.
As shown in
As indicated above,
PT 520 may apply a test phase to a received sample as follows:
In the above equations, x″s[i,n] and y″s[i,n] may represent the test phase compensated symbols, for the nth sample (or at time n) of sub-carrier s when test phase i is applied, calculated by PT 520 for the X polarization and the Y polarization, respectively. Furthermore, x′s[n] and y′s[n] may represent the phase and frequency compensated symbols received from FAPC 515, e may represent Euler's number, j may represent the imaginary component of the sample, itotal may represent the total quantity of test phases, and span may represent the span of the test phases. As an example, using 8 test phases that span 90 degrees, PT 520 may set span equal to π/2 radians (e.g., 90 degrees), and may set i/itotal equal to 0/8 for the first test phase (e.g., test phase 0), to 1/8 for the second test phase (e.g., test phase 1), etc., and to 7/8 for the last test phase (e.g., test phase 7, where the 8 test phases are identified as test phases 0 through 7). Thus, every input sample, for a particular sub-carrier and polarization, will result in eight output samples (e.g., one for each test phase).
As further shown in
In some implementations, decision device 710 may use two or more consecutive samples (e.g., n, n+1) to determine a most likely symbol (e.g., when the modulation format is Block-4D-BPSK). PT 520 may input the test phase compensated symbol and the most likely symbol into a subtractor 720. Subtractor 720 may determine a difference between the test phase compensated symbol and the most likely symbol and may provide the difference to a metric calculator 730.
Metric calculator 730 may calculate an error value based on the difference. For example, metric calculator 730 may calculate a power of the error (e.g., a power of the difference), such as by squaring a difference of an in-phase component of the symbol (e.g., I), by squaring a difference of a quadrature component of the symbol (Q), and by summing the squares (e.g., I2+Q2). Metric calculator 730 may calculate a first error value for the X polarization and a second error value for the Y polarization. The error values calculated by metric calculator 730 for sub-carrier s and sample n using test phase i may be represented as MetricX_s[i,n] for the X polarization, and MetricY_s[i,n] for the Y polarization.
As further shown in
As indicated above,
As an example, and as shown in
As another example, if the Avg_Mode value is equal to a second value (e.g., 1), then MF 525 may calculate a sub-carrier-averaged metric value (e.g., SCAverage) using metric values from two different sub-carriers. For example, MF 525 may calculate SCAverage_0[i,n] and SCAverage_1[i,n] by averaging Metric_0[i,n] and Metric_1[i,n]. Similarly, MF 525 may calculate SCAverage_2[i,n] and SCAverage_3[i,n] by averaging Metric_2[i,n] and Metric_3[i,n]. In some implementations, MF 525 may average other combinations of metric values (e.g., by averaging Metric_0 and Metric_2, Metric_0 and Metric_3, etc.)
As another example, if the Avg_Mode value is equal to a third value (e.g., 2), then MF 525 may calculate the sub-carrier-averaged metric value using metric values from four different sub-carriers. For example, MF 525 may calculate SCAverage_0[i,n], SCAverage_1[i,n], SCAverage_2[i,n], and SCAverage_3[i,n] by averaging Metric_0[i,n], Metric_1[i,n], Metric_2[i,n], and Metric_3[i,n].
In some implementations, Avg_Mode may be a different value than described above, and MF 525 may calculate the sub-carrier-averaged metric value using metric values for different quantities (e.g., 3, 5, etc.) of sub-carriers and/or may combine metric values for different combinations of sub-carriers. In some implementations, the value of Avg_Mode may be configurable (e.g., based on user input, based on a modulation format, based on a quantity of sub-carriers, etc.).
As shown by reference number 830, MF 525 may use an FFCR_Coeff[nstart, nend] value to calculate a time-averaged metric value (e.g., TimeAverage_s[i,n]) using multiple metric values for multiple respective samples (e.g., for a particular test phase and sub-carrier). For example, MF 525 may calculate a time-averaged metric value over a particular quantity of samples (e.g., from nstart to nend). Additionally, or alternatively, MF 525 may calculate a time-weighted average (e.g., with more recent samples being weighted more heavily than less recent samples), or may use another averaging technique to calculate the time-averaged metric value.
As shown by reference number 840, MF 525 may generate and provide a final metric value, FinalMetric_s[i,n], to phase estimate component 530. In some implementations, the final metric value may be equal to the combined metric value (e.g., Metric_s[i,n]) received from PT 520. In some implementations, the final metric value may include a sub-carrier-averaged metric value (e.g., SCAverage_s[i,n]). In some implementations, the final metric value may include a time-averaged metric value (e.g., TimeAverage_s[i,n]). In some implementations, the final metric value may include a combination of sub-carrier-averaged metric values and time-averaged metric values. In this case, the time averaging and the sub-carrier averaging may be performed in any order.
As an example, MF 525 may calculate multiple sub-carrier-averaged metric values, for a particular sample, by averaging metric values for the particular sample over multiple sub-carriers. MF 525 may then calculate a time-averaged metric value, for the particular sample, by averaging multiple sub-carrier-averaged metric values over multiple samples.
As indicated above,
PE 530 may calculate a phase estimate PhiEst[s,n] for a first symbol (e.g., a first received symbol) by determining a minimum final metric value among all final metric values for different test phases applied to the first symbol. PE 530 may set the value of PhiEst[s,n] equal to the test phase value associated with the minimum final metric value. For example, PE 530 may determine the phase estimate PhiEst[s,0] for a first symbol n=0, where there are 8 test phases, by calculating the following:
PE 530 may then set the value of PhiEst[s,0] equal to the phase value of test phase i associated with the minimum final metric value. For example, when using 8 test phases that span 90 degrees, i={0, 1, 2, 3, 4, 5, 6, 7} may correspond to test phase values of {0°, 11.25°, 22.5°, 33.75°, 45°, 56.25°, 67.5°, 78.75° }. Thus, if i=2 generated the minimum metric value (e.g., FinalMetric_s[2,0]), then PE 530 may set PhiEst[s,0] equal to 22.5°.
For the second symbol (e.g., n=1), PE 530 may determine a minimum of fewer than all of the final metric values for the different test phases applied to the second symbol. For example, to calculate PhiEst[s,1], PE 530 may determine a minimum of four final metric values that center around PhiEst[s,0] (e.g., half of the eight total final metric values corresponding to the eight test phases). This avoids the issue of two minimum values discussed above in connection with
In some implementations, PE 530 may determine an interpolated phase estimate value to update PhiEst[s,n]. For example, PE 530 may interpolate PhiEst[s,n] using a quantity of final metric values centered around PhiEst[s,n].
As shown in
As shown by reference number 930, once PE 530 determines a minimum final metric value from each group of four test phases, PE 530 may perform an interpolation (e.g., a parabolic interpolation) to estimate an interpolated phase value that corresponds to an actual minimum final metric value, as described in more detail in connection with
Additionally, or alternatively, PE 530 may calculate a group indicator value (e.g., a two bit value of 0, 1, 2, or 3) to be used to select an interpolated phase value for the next symbol (e.g., to select a value for PhiEst[s,1]). For example, the output of the interpolation may be a six bit value, and PE 530 may provide the four most significant bits (MSBs) to an adder that combines the four MSBs with a value of 15 to produce a group indicator value of 0, 1, 2, or 3. When selecting PhiEst[s,n+1], PE 530 may use the group indicator value to select from the four interpolated phase values. For example, PE 530 may select the interpolated phase value determined from Min[0,1,2,3] when the group indicator value is equal to 0, may select the interpolated phase value determined from Min[2,3,4,5] when the group indicator value is equal to 1, may select the interpolated phase value determined from Min[4,5,6,7] when the group indicator value is equal to 2, and may select the interpolated phase value determined from Min[6,7,0,1] when the group indicator value is equal to 3. In this way, PE 530 may avoid the issue of selecting between two minimum values, as discussed above in connection with
As shown in
As shown by reference number 940, assume that test phase 1 corresponds to a minimum final metric value, as compared to test phases 0, 2, and 3. However, as shown by reference number 950, the actual minimum final metric value is associated with a phase value somewhere between the phase values of test phases 1 and 2 (e.g., between 11.25° and 22.5°). PE 530 may use multiple test phase values and the corresponding final metric values to interpolate a function that relates a phase value to a final metric value, as shown by reference number 960. As an example, PE 530 may use the test phase associated with the minimum final metric value (e.g., ϕ1) and the two test phases on either side of that test phase (e.g., ϕ0 and ϕ2), to interpolate the function. As another example, PE 530 may use all four test phase values and the corresponding final metric values to interpolate the function. PE 530 may use the function to determine an interpolated phase value that corresponds to the minimum final metric value of the function.
As indicated above,
PU 535 may determine the actual phase value by calculating a phase difference between consecutively-received phase estimate values, such as a first phase estimate value PhiEst[s,n] and a second phase estimate value PhiEst[s,n+1]). PU 535 may subtract the first phase estimate value from the second phase estimate value. If the result is less than a first threshold value, then PU 535 may add a value equal to the span of the test phases (e.g., 90 degrees, 180 degrees, etc.) to the second phase estimate value. If the result is greater than a second threshold value, then PU 535 may subtract a value equal to the span of the test phases from the second phase estimate value. PU 535 may provide the resulting unwrapped phase estimate value PhiEstunwrap[s,n] to adder 545 and frequency estimate component 555.
As an example, and as shown in
As another example, assume that ϕin[0] is equal to 90°, and that ϕin[1] is equal to 5°. Assume that PU 535 determines that ϕin[1]−ϕin[0] is equal to a result of −85°, which is less than a threshold value of −45° (e.g., half the distance between 0° and a negative span of −90°. Thus, PU 535 calculates ϕout[1]=ϕin[1]+90°=95°. In this way, PU 535 may unwrap received phase values along a full phase cycle of 360°.
As indicated above,
As shown by reference number 1120, adder 545 may also receive a phase and frequency compensation value from FIFO Delay 540. For example, adder 545 may receive a phase and frequency compensation value for the X polarization (e.g., XCompValues[n]) and a phase and frequency compensation value for the Y polarization (e.g., YCompValues[n]). FIFO Delay 540 may delay providing the compensation values to adder 545 to coincide with the unwrapped phase estimate value being provided to adder 545. In this way, adder 545 may properly combine the compensation values and the unwrapped phase estimate value (e.g., with appropriate timing). As shown by reference number 1130, adder 545 may combine (e.g., may sum) each phase and frequency compensation value with the phase estimate value to determine an output phase for each polarization (e.g., XCompValues[n]+PhiEstunwrap[s,n] for the X polarization, and YCompValues[n]+PhiEstunwrap[s,n] for the Y polarization). The output phases may be represented using a real number.
As shown by reference number 1140, LUT 550 may receive the real number output phases, and may convert the real number output phases to complex number output phases. For example, LUT 550 may use a lookup table to perform the conversion. As shown by reference number 1150, LUT 550 may provide the complex number output phases to multiplier 510. As shown by reference number 1160, multiplier 510 may also receive an input signal from FIFO Delay 505. For example, multiplier 510 may receive an input signal for the X polarization and an input signal for the Y polarization. FIFO Delay 540 may delay providing the input signal(s) to multiplier 510 to coincide with the complex number output phase value being provided to multiplier 510. In this way, multiplier 510 may properly combine the input signals and the complex number output phase values (e.g., with appropriate timing). Multiplier 510 may combine (e.g., may multiply, rotate, etc.) each input signal value with a corresponding complex number output phase to determine a carrier-recovered output signal for each polarization.
As shown by reference number 1170, multiplier 510 may output the output signal (e.g., to a symbol decoder). Additionally, or alternatively, as shown by reference number 1180, multiplier 510 may provide a feedback signal via a feedback loop to another component of CRC 460 (e.g., PDE 560). The feedback signal may be the same as the output signal, in some implementations. In some implementations, multiplier 510 may provide the feedback signal at a different rate than the output signal. For example, multiplier 510 may generate 16 output signals per sub-carrier per clock cycle, and may generate 2 feedback signals per sub-carrier per clock cycle, as shown.
As indicated above,
As an example, and as shown by reference number 1210, assume that FE 555 receives 16 samples (e.g., per clock cycle), labeled 0 through 15, on the first sub-carrier (e.g., s=0). As shown by reference number 1220, FE 555 may calculate a difference between each pair of adjacent samples (e.g., samples n={0, 1}, n={1, 2}, n={2, 3}, . . . , n={14, 15}). As shown by reference number 1230, FE 555 may sum all of these difference values to calculate a frequency compensation error introduced by processing performed by components 515-535.
As shown by reference number 1240, FE 555 may optionally average the frequency compensation error across multiple sub-carriers. As shown by reference number 1250, FE 555 may be configured to include or exclude a sub-carrier from the averaging operation. FE 555 may perform processing similar to that shown by reference numbers 1210-1230 for each sub-carrier, and may average the frequency compensation error across two or more sub-carriers.
As shown by reference number 1260, FE 555 may input the frequency compensation error (or the average frequency compensation error) into a digital integrator to form a first order feedback loop to control the error. FE 555 may control the feedback loop (e.g., an amount of bandwidth used by the feedback loop) using a step size value. FE 555 may output the frequency compensation error (or the average frequency compensation error) to FAPC 515 as the frequency estimate value FreqEstVal, which is noted above as signal 1150-1 supplied to control circuit 254-1.
As indicated above,
As noted above, signal 1150-1 may be employed to control a frequency of laser 299. Such laser frequency, in one example, may be equal to that of the primary node laser, i.e., frequency f_laser. Alternatively, control circuit 254-1, based on signal 1150-1 may supply a signal to frequency adjusting circuit 252 so that the frequency of light output from laser 299-1 is offset from the frequency f_laser.
As further noted above, light output laser 299-1 is supplied to splitter 299-2 via tap 251, such that a portion of such light is provided to Tx D/A and Optica block 901. Such light is modulated, as described above, to provide a plurality of subcarriers based on the outputs of Tx DSP 902, which, in turn, are based on data D1 to D-n.
Tx DSP 902 Tx D/A and Optical Block 901 will next be described with reference to
Each of FEC encoders 1002-0 to 1002-n provides an output to a corresponding one of multiple bits to symbol circuits, 1004-0 to 1004-n (collectively referred to herein as “1004”). Each of bits to symbol circuits 1004 may map the encoded bits to symbols on a complex plane. For example, bits to symbol circuits 1004 may map four bits to a symbol in a dual-polarization Quadrature Phase Shift Keying (QPSK) or and m-quadrature amplitude modulation (m-QAM, m being a positive integer) constellation, such as 8-QAM, 16-QAM, and 64-QAM. Each of bits to symbol circuits 1004 provides first symbols, having the complex representation XI+j*XQ, associated with a respective one of the data input, such as D0, to DSP portion 1003. Data indicative of such first symbols may carried by the X polarization component of each subcarrier.
Each of bits to symbol circuits 1004 may further provide second symbols having the complex representation YI+j*YQ, also associated with a corresponding one of data inputs D0 to Dn. Data indicative of such second symbols, however, is carried by the Y polarization component of each of a corresponding one of subcarriers output from node 112.
As further shown in
Each overlap and save buffer 1005 supplies an output, which is in the time domain, to a corresponding one of fast Fourier Transform (FFT) circuits 1006-0 to 1006-n (collectively referred to as “FFTs 1006”). In one example, the output includes 256 symbols or another number of symbols. Each of FFTs 1006 converts the received symbols to the frequency domain using or based on, for example, a fast Fourier transform. Each of FFTs 1006 may include 256 memories or registers, also referred to as frequency bins or points, that store frequency components associated with the input symbols. Each of replicator components 1007-0 to 1007-n may replicate the 256 frequency components associated with of FFTs 1006 and store such components in 512 or another number of frequency bins (e.g., for T/2 based filtering of the subcarrier) in a respective one of the plurality of replicator components. Such replication may increase the sample rate. In addition, replicator components or circuits 1007-0 to 1007-n may arrange or align the contents of the frequency bins to fall within the bandwidths associated with pulse shaped filter circuits 1008-0 to 1008-n described below.
Each of pulse shape filter circuits 1008-0 to 1008-n may apply a pulse shaping filter to the data stored in the 512 frequency bins of a respective one of the plurality of replicator components 1007-0 to 1007-n to thereby provide a respective one of multiple filtered outputs, which are multiplexed and subject to an inverse FFT, as described below. Pulse shape filter circuits 1008-1 to 1008-n calculate the transitions between the symbols and the desired subcarrier spectrum so that the subcarriers can be spectrally packed together for transmission, e.g., with a close frequency separation.
Pulse shape filter circuits 1008-0 to 1008-n may also be used to introduce timing skew between the subcarriers to correct for timing skew induced by links between nodes shown in
The output of memory 1009 is fed to IFFT circuit or component 1010-1. IFFT circuit 1010-1 may receive the element vector and provide a corresponding time domain signal or data based on an inverse fast Fourier transform (IFFT). In one example, the time domain signal may have a rate of 64 G Sample/s. Take last buffer or memory circuit 1011-1 may select the last 1024 or another number of samples from an output of IFFT component or circuit 1010-1 and supply the samples at 64 Gsamples/second, for example, to digital-to-analog converters (DACs) 904-1 and 904-2, as shown in
As further shown in
While
Turning to
D/A and optics block 901 further includes modulators 910-1 to 910-4, each of which may be, for example, a Mach-Zehnder modulator (MZM) that modulates the phase and/or amplitude of the light output from laser 908. As further shown in FIG. 14, a portion of light from laser 299-1 output from splitter 299-2 is provided to splitter 301-1, which further splits the light, such that a first part of portion of the light supplied form splitter 301-1 is supplied to a first MZM pairing, including MZMs 910-1 and 910-2, and a second part of the light supplied from splitter 301-1 is supplied to a second MZM pairing, including MZMs 910-3 and 910-4. The first portion of the light supplied from splitter 301-1 is split further into third and fourth portions, such that the third portion is modulated by MZM 910-1 to provide an in-phase (I) component of an X (or TE) polarization component of a modulated optical signal, and the fourth portion is modulated by MZM 910-2 and fed to phase shifter 912-1 to shift the phase of such light by 90 degrees in order to provide a quadrature (Q) component of the X polarization component of the modulated optical signal. Similarly, the second portion of the light supplied from splitter 301-1 is further split into fifth and sixth portions, such that the fifth portion is modulated by MZM 910-3 to provide an I component of a Y (or TM) polarization component of the modulated optical signal, and the sixth portion is modulated by MZM 910-4 and fed to phase shifter 912-2 to shift the phase of such light by 90 degrees to provide a Q component of the Y polarization component of the modulated optical signal. As used herein, a “modulator” may refer to each modulator, such as MZMs 910-1 to 910-4, individually, or refer to such modulators collectively. For example, MZMs 910-1 to 910-4 may collectively be referred to as a “nested” Mach-Zehnder modulator.
The optical outputs of MZMs 910-1 and 910-2 are combined to provide an X polarized optical signal including I and Q components and are fed to a polarization beam combiner (PBC) 914, which, in one example, is provided in block 901. In addition, the outputs of MZMs 910-3 and 910-4 are combined to provide an optical signal that is fed to polarization rotator 913, that rotates the polarization of such optical signal to provide a modulated optical signal having a Y (or TM) polarization. The Y polarized modulated optical signal also is provided to PBC 914, which combines the X and Y polarized modulated optical signals to provide a polarization multiplexed (“dual-pol”) modulated optical signal, including one or more subcarriers, onto optical fiber 916, for example, which may be included as a segment of optical fiber in optical communication path 115.
Examples of power spectral density (PSD) plots associated with subcarriers received by primary node 110 (
In
As noted above, based on the received optical subcarriers, light output from the laser in the secondary node, e.g., laser 299-1, is “synchronized” for example, to the frequency of light output from laser 199-1 in the primary node. Put another way, the light output from laser 299-1 may be controlled to have the same or substantially the same frequency, fc, as the light output from laser 199-1 (in the above discussion fc is referred to as f_laser). Accordingly, optical subcarriers output from the secondary nodes have frequencies distributed about frequency fc, such that the subcarrier frequencies are offset from and have values that are either less than or greater than fc.
For example, as shown in
In
As noted above, the frequency of light output from laser 299-1 can synchronized or adjusted to be the same or approximate that of laser 199-1 based one or more received optical subcarriers from primary node 110. In particular, in the example noted above, frequency information or data indicative of one or more subcarriers received by the secondary node is output to frequency adjusting control circuit 254-1 from circuitry in carrier recovery component 460. Consistent with a further aspect of the present disclosure, and as discussed below with reference to
As noted above in connection with
Each of frequency bins 1-18 corresponds to a particular frequency. If optical energy is present at a given frequency, the corresponding frequency bin stores a value. If little or no optical energy is present at a particular frequency, the corresponding frequency bin stores a relatively low value or a zero value. Those frequency bins 1-18 corresponding to frequencies associated with particular subcarriers, therefore, store frequency domain data values that are greater than the values stored in bins which are associated with, for example, gaps between subcarriers or frequencies lying outside the range of frequencies corresponding to particular subcarriers. Thus, the values stored in the memories or frequency bins 1-18 are indicative of the frequencies of the subcarriers included in the received modulated optical signal.
As shown in the example of
Based on the stored frequency domain data noted above, a power spectral density associated with the received subcarrier can be calculated. For example, as shown in the calculated PSD of
In one implementation, once the frequencies associated with each subcarrier are determined and the gaps between subcarriers identified, the calculated laser frequency fc′ may be determined at the secondary node. In the example shown in
For example, in another implementation, based on the number of subcarriers and expected number of gaps between adjacent ones of such subcarriers, a central spectral gap may be identified between frequencies associated with the innermost two subcarriers, such as subcarriers SC2 and SC3 (see
Once determined by the above-described methods, for example, the calculated PSD and fc′ are compared to a predetermined PSD and fc associated with the preferred frequencies of subcarriers SC1 to SC4 and fc (see
In a further example, the center frequency fsc of a subcarrier adjacent fc, such as optical subcarrier SC2 in
fsc=fc+G/2+(1+α)*fb/2
where fb=baud rate of a subcarrier
Center frequencies of other subcarriers may be determined based on equations similar to that noted above. In generating subcarriers, the center frequencies may be quantized by the resolution of the FFT. Put another way, if a relatively large number of frequency bins are employed, more frequencies and a higher frequency resolution will be associated with such bins, whereas fewer bins results in fewer frequencies and less frequency resolution being associated with such bins.
Further, as noted above, primary node transmitter 202 may have a similar construction as primary node transmitter 304. In one example, transmitter 202 includes Tx D/A and Optics block similar to block 901 described above, as well as a digital signal processor similar Tx DSP 902. It is understood that the connections between and the operation of the DSP and Tx D/A Optics block in primary node 110 is similar to the connections to the connections between and the operation of Tx DSP 902 and Tx D/A Optics block 901 in secondary node 112.
In a further example, receiver 204 includes an Rx A/D and Optics block similar to block 1100 described above, as well as a digital signal processor similar Rx DSP 1150. It is understood that the connections between and the operation of the DSP and Rx A/D Optics block in primary node 110 is similar to the connections between and the operation of Tx DSP 902 and Tx D/A Optics block 901 in secondary node 112.
Other embodiments will be apparent to those skilled in the art from consideration of the specification. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
This application claims the benefit of U.S. Provisional Patent Application No. 62/913,484 filed Oct. 10, 2019, which is incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4483000 | Yamamoto et al. | Nov 1984 | A |
4528565 | Hauptmann | Jul 1985 | A |
5153762 | Huber | Oct 1992 | A |
5208692 | McMahon | May 1993 | A |
5596436 | Sargis | Jan 1997 | A |
5822094 | O'Sullivan | Oct 1998 | A |
5825857 | Reto | Oct 1998 | A |
6046838 | Kou | Apr 2000 | A |
6362913 | Ooi et al. | Mar 2002 | B2 |
6525857 | Way | Feb 2003 | B1 |
6563880 | Hunsinger et al. | May 2003 | B1 |
6580544 | Lin et al. | Jun 2003 | B1 |
6687044 | Paquet | Feb 2004 | B2 |
7266306 | Harley et al. | Sep 2007 | B1 |
7466919 | Birk et al. | Feb 2008 | B1 |
7346284 | Wan | Mar 2008 | B2 |
7376358 | Roberts et al. | May 2008 | B2 |
7447436 | Yee | Nov 2008 | B2 |
7701842 | Roberts et al. | Apr 2010 | B2 |
7715710 | Wan | May 2010 | B2 |
7729621 | Nahapetian et al. | Jun 2010 | B2 |
7756421 | Roberts | Jul 2010 | B2 |
7826752 | Zanoni | Nov 2010 | B1 |
8184992 | Kikuchi | May 2012 | B2 |
8203777 | Smith et al. | Jun 2012 | B2 |
8412047 | Tanaka | Apr 2013 | B2 |
8437645 | Boffi et al. | May 2013 | B2 |
8472810 | Akiyama | Jun 2013 | B2 |
8477056 | Sun et al. | Jul 2013 | B2 |
8477656 | O'Mahony | Jul 2013 | B2 |
8478137 | Komaki et al. | Jul 2013 | B2 |
8655190 | Wu et al. | Feb 2014 | B2 |
8682180 | Nimon et al. | Mar 2014 | B1 |
8699533 | Wach | Apr 2014 | B1 |
8730079 | Tudose | May 2014 | B2 |
8768177 | Wu et al. | Jul 2014 | B2 |
8861977 | McNicol | Oct 2014 | B2 |
8929750 | Ishihara | Jan 2015 | B2 |
8965203 | Vahdat | Feb 2015 | B1 |
8971723 | Le Taillandier De Gabory | Mar 2015 | B2 |
8989593 | Sun et al. | Mar 2015 | B2 |
9020363 | Yasuda | Apr 2015 | B2 |
9048957 | Nakashima | Jun 2015 | B2 |
9112609 | Kim et al. | Aug 2015 | B2 |
9154231 | Kaneda | Oct 2015 | B2 |
9166692 | Felderman | Oct 2015 | B1 |
9197320 | Vassilieva | Nov 2015 | B2 |
9244928 | Nishimoto | Jan 2016 | B1 |
9270379 | Huang et al. | Feb 2016 | B2 |
9281915 | Kaneda | Mar 2016 | B2 |
9363585 | Carpini | Jun 2016 | B2 |
9419720 | Akiyama | Aug 2016 | B2 |
9461749 | Jansen et al. | Oct 2016 | B2 |
9485554 | Kim | Nov 2016 | B1 |
9553675 | Karar et al. | Jan 2017 | B2 |
9608866 | Nagarajan | Mar 2017 | B2 |
9673907 | Vassilieva | Jun 2017 | B1 |
9686020 | Mochizuki et al. | Jun 2017 | B2 |
9705592 | Schmogrow | Jul 2017 | B1 |
9735881 | Agazzi et al. | Aug 2017 | B1 |
9991953 | Fludger | Jun 2018 | B1 |
10014975 | Krause et al. | Jul 2018 | B2 |
10027424 | Zhuge et al. | Jul 2018 | B2 |
10243653 | Wiswell | Mar 2019 | B2 |
10243688 | Vassilieva | Mar 2019 | B2 |
10348410 | Charlton | Jul 2019 | B1 |
10374623 | Oveis Gharan | Aug 2019 | B1 |
10374721 | Ahmed | Aug 2019 | B2 |
10389447 | Khandani | Aug 2019 | B1 |
10397190 | Akhavain Mohammadi | Aug 2019 | B2 |
10491302 | Morris | Nov 2019 | B1 |
10523315 | Jiang | Dec 2019 | B2 |
10547388 | Ikeda | Jan 2020 | B2 |
10574362 | Chen | Feb 2020 | B2 |
10587358 | Ebrahimzad | Mar 2020 | B1 |
11356180 | McNicol | Jun 2022 | B2 |
20020003641 | Hall | Jan 2002 | A1 |
20020005971 | Sasai | Jan 2002 | A1 |
20020034194 | Shattil | Mar 2002 | A1 |
20020067883 | Lo | Jun 2002 | A1 |
20020114038 | Arnon | Aug 2002 | A1 |
20020122518 | Yasuda et al. | Sep 2002 | A1 |
20020145783 | Chang | Oct 2002 | A1 |
20020164125 | Berger | Nov 2002 | A1 |
20030020995 | Harasawa | Jan 2003 | A1 |
20030223751 | Shimizu | Dec 2003 | A1 |
20040016874 | Rao | Jan 2004 | A1 |
20040019459 | Dietz | Jan 2004 | A1 |
20040032643 | Chimfwembe | Feb 2004 | A1 |
20040033074 | Hsu | Feb 2004 | A1 |
20040105682 | Roberts | Jun 2004 | A1 |
20040197103 | Roberts | Jul 2004 | A1 |
20040151109 | Batra | Aug 2004 | A1 |
20040198265 | Wallace | Oct 2004 | A1 |
20040208614 | Price | Oct 2004 | A1 |
20040252996 | McNicol | Dec 2004 | A1 |
20050008085 | Lee | Jan 2005 | A1 |
20050074037 | Rickard | Apr 2005 | A1 |
20050111789 | Hayes | May 2005 | A1 |
20050147415 | Fee | Jul 2005 | A1 |
20050169585 | Aronson | Aug 2005 | A1 |
20050175112 | Fabio | Aug 2005 | A1 |
20050175339 | Herskowits | Aug 2005 | A1 |
20060078336 | McNicol et al. | Apr 2006 | A1 |
20060093052 | Cho | May 2006 | A1 |
20060159454 | Bjornstad | Jul 2006 | A1 |
20060215540 | Krishnamoorthi | Sep 2006 | A1 |
20060233147 | Karabinis | Oct 2006 | A1 |
20060269295 | Way | Nov 2006 | A1 |
20060280510 | Onaka | Dec 2006 | A1 |
20070004465 | Papasakellariou | Jan 2007 | A1 |
20070025421 | Shattil | Feb 2007 | A1 |
20070092263 | Agazzi | Apr 2007 | A1 |
20080063409 | Toliver | Mar 2008 | A1 |
20080085125 | Frankel | Apr 2008 | A1 |
20080232816 | Hoshida | Sep 2008 | A1 |
20080267630 | Qian | Oct 2008 | A1 |
20090110033 | Shattil | Apr 2009 | A1 |
20090154336 | Green | Jun 2009 | A1 |
20090190929 | Khurgin | Jul 2009 | A1 |
20090196603 | Zhou | Aug 2009 | A1 |
20090214224 | Cho | Aug 2009 | A1 |
20090232234 | Du | Sep 2009 | A1 |
20090238578 | Taylor | Sep 2009 | A1 |
20090238580 | Kikuchi | Sep 2009 | A1 |
20090257344 | Huang | Oct 2009 | A1 |
20090257755 | Buelow | Oct 2009 | A1 |
20090092389 | Wei | Nov 2009 | A1 |
20100021163 | Shieh | Jan 2010 | A1 |
20100021166 | Way | Jan 2010 | A1 |
20100028002 | Qian | Feb 2010 | A1 |
20100086303 | Qian | Apr 2010 | A1 |
20100142964 | Chang et al. | Jun 2010 | A1 |
20100142967 | Perez | Jun 2010 | A1 |
20100178057 | Shieh | Jul 2010 | A1 |
20100189445 | Nakashima | Jul 2010 | A1 |
20100215368 | Qian | Aug 2010 | A1 |
20100246581 | Henry | Sep 2010 | A1 |
20100254707 | Peng | Oct 2010 | A1 |
20100329671 | Essiambre | Dec 2010 | A1 |
20100329683 | Liu | Dec 2010 | A1 |
20110097092 | Wagner et al. | Apr 2011 | A1 |
20110135301 | Myslinski | Jun 2011 | A1 |
20110142450 | Tanzi et al. | Jun 2011 | A1 |
20110150475 | Soto et al. | Jun 2011 | A1 |
20110176813 | Kim | Jul 2011 | A1 |
20110182577 | Wu | Jul 2011 | A1 |
20110249978 | Sasaki | Oct 2011 | A1 |
20110255870 | Grigoryan | Oct 2011 | A1 |
20120002703 | Yamashita | Jan 2012 | A1 |
20120033965 | Zhang | Feb 2012 | A1 |
20120045209 | Boyd | Feb 2012 | A1 |
20120082466 | Wu | Apr 2012 | A1 |
20120093510 | Zhang | Apr 2012 | A1 |
20120099864 | Ishihara | Apr 2012 | A1 |
20120141130 | Nakashima | Jun 2012 | A1 |
20120141135 | Yang | Jun 2012 | A1 |
20120148264 | Liu | Jun 2012 | A1 |
20120219285 | Dahan | Aug 2012 | A1 |
20120251119 | McNicol | Oct 2012 | A1 |
20120251121 | McNicol | Oct 2012 | A1 |
20120263471 | Buchali | Oct 2012 | A1 |
20120269510 | Hui | Oct 2012 | A1 |
20120269515 | Cvijetic | Oct 2012 | A1 |
20130070785 | Liu | Mar 2013 | A1 |
20130070786 | Liu | Mar 2013 | A1 |
20130101296 | Nishimoto | Apr 2013 | A1 |
20130108271 | Tang et al. | May 2013 | A1 |
20130136449 | Liu | May 2013 | A1 |
20130170834 | Cho et al. | Jul 2013 | A1 |
20130191877 | Rakib | Jul 2013 | A1 |
20130195452 | Hui | Aug 2013 | A1 |
20130202303 | Wilkinson | Aug 2013 | A1 |
20130251364 | Pachnicke | Sep 2013 | A1 |
20130286847 | Schmidt | Oct 2013 | A1 |
20140010543 | Lee | Jan 2014 | A1 |
20140056371 | Ji | Feb 2014 | A1 |
20140072303 | Pfau | Mar 2014 | A1 |
20140079390 | Kim | Mar 2014 | A1 |
20140079391 | Kim | Mar 2014 | A1 |
20140092924 | Krause et al. | Apr 2014 | A1 |
20140099116 | Bai | Apr 2014 | A1 |
20140126916 | Ota | May 2014 | A1 |
20140153925 | Nishihara et al. | Jun 2014 | A1 |
20140205286 | Ji et al. | Jul 2014 | A1 |
20140233963 | Le Taillandier De Gabory | Aug 2014 | A1 |
20140241727 | Lim et al. | Aug 2014 | A1 |
20140270759 | Djordjevic | Sep 2014 | A1 |
20140270761 | Xu | Sep 2014 | A1 |
20140270803 | Olsson | Sep 2014 | A1 |
20140294381 | McNicol | Oct 2014 | A1 |
20140314411 | Huang | Oct 2014 | A1 |
20140314416 | Vassilieva | Oct 2014 | A1 |
20140341587 | Nakashima | Nov 2014 | A1 |
20140363164 | Kim | Dec 2014 | A1 |
20140376930 | Shiba | Dec 2014 | A1 |
20150063808 | Xia | Mar 2015 | A1 |
20150071642 | Tanaka | Mar 2015 | A1 |
20150093118 | Jia | Apr 2015 | A1 |
20150098700 | Zhu | Apr 2015 | A1 |
20150117860 | Braun | Apr 2015 | A1 |
20150125160 | Wen | May 2015 | A1 |
20150188637 | Tanimura | Jul 2015 | A1 |
20150188642 | Sun | Jul 2015 | A1 |
20150229332 | Yuan | Aug 2015 | A1 |
20150229401 | Tanaka | Aug 2015 | A1 |
20150280853 | Sun | Oct 2015 | A1 |
20150288456 | Zhu | Oct 2015 | A1 |
20150289035 | Mehrvar | Oct 2015 | A1 |
20150296278 | Liu | Oct 2015 | A1 |
20150333860 | Rahn | Nov 2015 | A1 |
20160013881 | Rejaly et al. | Jan 2016 | A1 |
20160029403 | Roy et al. | Jan 2016 | A1 |
20160050021 | Hua | Feb 2016 | A1 |
20160057516 | Hochberg | Feb 2016 | A1 |
20160065314 | Nazarathy | Mar 2016 | A1 |
20160094292 | Mochizuki | Mar 2016 | A1 |
20160099777 | Liu | Apr 2016 | A1 |
20160112141 | Rahn | Apr 2016 | A1 |
20160142150 | Lyubomirsky | May 2016 | A1 |
20160191168 | Huang | Jun 2016 | A1 |
20160192042 | Mitchell | Jun 2016 | A1 |
20160197681 | Sun | Jul 2016 | A1 |
20160218812 | Okabe | Jul 2016 | A1 |
20160233963 | Zhuge et al. | Aug 2016 | A1 |
20160261347 | Karar | Sep 2016 | A1 |
20160277816 | Yuang | Sep 2016 | A1 |
20160316281 | Keyworth | Oct 2016 | A1 |
20160323039 | Sun et al. | Nov 2016 | A1 |
20170005747 | Kim | Jan 2017 | A1 |
20170019168 | Menard | Jan 2017 | A1 |
20170033864 | Nagarajan | Feb 2017 | A1 |
20170033999 | Nagarajan | Feb 2017 | A1 |
20170041691 | Rickman | Feb 2017 | A1 |
20170054513 | Guo | Feb 2017 | A1 |
20170070313 | Kato | Mar 2017 | A1 |
20170078028 | Zhang | Mar 2017 | A1 |
20170078044 | Hino | Mar 2017 | A1 |
20170104535 | Hoshida | Apr 2017 | A1 |
20170134836 | Sindhu | May 2017 | A1 |
20170149507 | Le Taillandier De Gabory | May 2017 | A1 |
20170163347 | Akiyama | Jun 2017 | A1 |
20170222716 | Nakashima | Aug 2017 | A1 |
20170237500 | Nishimoto | Aug 2017 | A1 |
20170250775 | Kato | Aug 2017 | A1 |
20170324480 | Elmirghani | Nov 2017 | A1 |
20170366267 | Campos | Dec 2017 | A1 |
20170367061 | Kim | Dec 2017 | A1 |
20180034555 | Goh | Feb 2018 | A1 |
20180115407 | Melikyan | Apr 2018 | A1 |
20180120520 | Kelly | May 2018 | A1 |
20180145761 | Zhuge | May 2018 | A1 |
20180198547 | Mehrvar | Jul 2018 | A1 |
20180219632 | Yoshida | Aug 2018 | A1 |
20180234285 | Djordjevic | Aug 2018 | A1 |
20180241476 | Johnson | Aug 2018 | A1 |
20180278331 | Cao | Sep 2018 | A1 |
20180324717 | Zhou | Nov 2018 | A1 |
20180359047 | Vassilieva | Dec 2018 | A1 |
20190020409 | Le Taillandier De Gabory | Jan 2019 | A1 |
20190097728 | Frankel | Mar 2019 | A1 |
20190123819 | Jiang | Apr 2019 | A1 |
20190149242 | Torbatian | May 2019 | A1 |
20190149389 | Torbatian | May 2019 | A1 |
20190253153 | Sun | Aug 2019 | A1 |
20190260493 | Chilufya | Aug 2019 | A1 |
20190288777 | Ishimura | Sep 2019 | A1 |
20190312640 | Binkai | Oct 2019 | A1 |
20200076508 | Jia | Mar 2020 | A1 |
20200177525 | Morris | Jun 2020 | A1 |
Number | Date | Country |
---|---|---|
0512642 | Nov 1992 | EP |
3208957 | Aug 2017 | EP |
WO 2012100714 | Aug 2012 | WO |
WO 2014114332 | Jul 2014 | WO |
Entry |
---|
J. Leuthold et al., “Super Channels Based on Nyquist Multiplexing,” 2012 17th Opto-Electronics and Communications Conference (OECC 2012) Technical Digest, Jul. 2012, Busan, Kor. |
S. Watanabe et al., “Optical Coherent Broad-Band Transmission for Long-Haul and Distribution Systems Using Subcarrier Multiplexing,” Journal of Lightwave Technology, vol. 11, No. 1, Jan. 1993, pp. 116-127. |
M. Jinno et al., “Demonstration of Novel Spectrum-Efficient Elastic Optical Path Network with Per-Channel Variable Capacity of 40 GB/s to Over 400 GB/s,” ECOC 2008, Sep. 21-25, 2008, Brussels, Belgium, Th.3.F.6. |
Y. Chen et al., “Experimental Demonstration of Roadm Functionality on an Optical Scfdm Superchannel,” IEEE Photonics Technology Letters, vol. 24, No. 3, Feb. 1, 2012, pp. 215-217. |
Adaptive Software Defined Terabit Transceiver for Flexible Optical Networks, Public executive summary of the Final Project Periodic Report, Jun. 16, 2016. |
Hillerkus, Single-Laser Multi-Terabit/s Systems, KIT Scientific Publishing, 2013, Chapters 1, 3, and 6. |
Hu et al., “Flexible and Concurrent All-Optical VPN in OFDMA PON,” IEEE Photonics Technology Journal, vol. 5, No. 6, Dec. 2013. |
Bosco et al., “On the Performance of Nyquist-WDM Terabit Superchannels Based on PM-BPSK, PM-QPSK, PM-8QAM or PM-16QAM Subcarriers,” Journal of Lightwave Technology, vol. 29, No. 1, Jan. 1, 2011, pp. 53-60. |
K. Roberts et al., “Flexible Transceivers,” ECOC Technical Digest, 2012, We.3.A.3. |
K. Roberts et al., “High Capacity Transport—100G and Beyond,” Journal of Lightwave Technology, vol. 33, No. 3, Feb. 1, 2015, pp. 563-578. |
J. Reis et al., “Performance Optimization of Nyquist Signaling For Spectrally Efficient Optical Access Networks [Invited],” J. Opt. Commun. Netw./vol. 7, No. 2, Feb. 2015, pp. A200-A208. |
R. Ferreira et al, Coherent Nyquist UDWDM-PON With Digital Signal Processing in Real Time, Journal of Lightwave Technology, vol. 34, No. 2, Jan. 15, 2016, pp. 826-833. |
A. Shahpari et al., “Coherent Access: A Review”, Journal of Lightwave Technology, vol. 35, No. 4, Feb. 15, 2017, pp. 1050-1058. |
P. Layec et al., “Rate-Adaptable Optical Transmission And Elastic Optical Networks,” Chapter 15, Enabling Technologies for High Spectral-efficiency Coherent Optical Communication Networks, First Edition, 2016 John Wiley & Sons, Inc. Published 2016, pp. 507-545. |
J. Altabas, “Cost-effective Transceiver based on a RSOA and a VCSEL for Flexible uDWDM Networks,” IEEE Photonics Technology Letters ( vol. 28 , Issue: 10, May15, 15, 2016, pp. 1111-1114. |
K. Roberts et al., “Beyond 100 GB/s: Capacity, Flexibility, and Network Optimization,” J. Opt. Commun. Netw./vol. 9, No. 4/Apr. 2017, pp. C12-C24. |
Lavery et al., “Digital Coherent Receivers for Long-Reach Optical Access Networks,” Journal of Lightwave Technology, vol. 31, No. 4, Feb. 15, 2013, pp. 609-620. |
V. Vujicic, “Optical Multicarrier Sources for Spectrally Efficient Optical Networks,” A Dissertation submitted in fulfilment of the requirements for the award of Doctor of Philosophy (Ph.D.) to the Dublin City University, Dec. 2015, Chapters 1, 2, and 6. |
Straullu et al., “Single-Wavelength Downstream FDMA-PON at 32 Gbps and 34 dB ODN Loss,” IEEE Photonics Technology Letters, vol. 27, No. 7, Apr. 1, 2015, pp. 774-777. |
Y. Zhang et al., “Digital subcarrier multiplexing for flexible spectral allocation in optical transport network,” Oct. 24, 2011 / vol. 19, No. 22 / Optics Express 21882. |
R. Schmogrow et al., “Nyquist Frequency Division Multiplexing for Optical Communications,” CLEO Technical Digest, OSA 2012, CTh1H.2. |
P Khodashenas. “Investigation of Spectrum Granularity for Performance Optimization of Flexible Nyquist-WDM-Based Optical Networks.” Journal of Lightwave Technology, vol. 33, No. 23, Dec. 1, 2015 pp. 4767-4774. |
Mishra et al., “Flexible RF-Based Comb Generator,” IEEE Photonics Technology Letters, vol. 25, No. 7, Apr. 1, 2013, pp. 701-704. |
M. Jinno et al., “Multiflow Optical Transponder for Efficient Multilayer Optical Networking,” IEEE Communications Magazine . May 2012, pp. 56-65. |
Kim Roberts, “100G and Beyond,” OFC 2014, OSA 2014, Tu3J.1. |
J. Fischer, “Digital signal processing for coherent UDWDM passive optical networks,” ITG-Fachbericht 248: Photonische Netze 05.—May 6, 2014 in Leipzig, VDE VERLAG GMBH · Berlin · Offenbach, Germany, ISBN 978-3-8007-3604-1. |
Kottke et al., “Coherent UDWDM PON with joint subcarrier reception at OLT,” Optics Express, Jul. 2, 2014. |
Lavery et al., “Reduced Complexity Equalization for Coherent Long-Reach Passive Optical Networks,” J. Opt. Commun. Netw./vol. 7, No. 1/Jan. 2015, pp. A16-A27. |
Lazaro et al., “Flexible PON Key Technologies: Digital Advanced Modulation Formats and Devices,” 2014 16th International Conference on Transparent Optical Networks (ICTON), Tu.B3.2. |
Optical Internetworking Forum—Technology Options for 400G Implementation OIF-Tech-Options-400G-01.0, Jul. 2015. |
Riccardi et al., “Sliceable bandwidth variable transponder: the Idealist vision,” 2015 European Conference on Networks and Communications (EuCNC), pp. 330-334. |
Sambo et al., “Next Generation Sliceable Bandwidth Variable Transponders,” IEEE Communications Magazine, Feb. 2015, pp. 163-171. |
P. Schindler et al., “Colorless FDMA-PON With Flexible Bandwidth Allocation and Colorless, Low-Speed ONUs [Invited],” J. Opt. Commun. Netw./vol. 5, No. 10/Oct. 2013, pp. A204-A212. |
Schmogrow et al., “Real-time Nyquist signaling with dynamic precision and flexible non-integer oversampling,” Jan. 13, 2014 | vol. 22, No. 1 | DOI:10.1364/OE.22.000193 | Optics Express 193. |
Schmogrow et al., “Real-Time Digital Nyquist-WDM and OFDM Signal Generation: Spectral Efficiency Versus DSP Complexity,” ECOC Technical Digest, 2012 OSA, Mo.2.A.4. |
Boutaba et al., “Elastic Optical Networking for 5G Transport,” J Netw Syst Manage (2017) 25m pp. 819-847 123. |
S. Smolorz et al., “Demonstration of a Coherent UDWDM-PON with Real-Time Processing,” OFC/NFOEC 2011, PDPD4. |
H. Rohde et al. “Coherent Ultra Dense WDM Technology for Next Generation Optical Metro and Access Networks,” Journal of Lightwave Technology, vol. 32, No. 10, May 15, 2014 pp. 2041-2052. |
Ze Dong et al., “Very-High-Throughput Coherent Ultradense WDM-PON Based on Nyquist-ISB Modulation,” IEEE Photonics Technology Letters, vol. 27, No. 7, Apr. 1, 2015, pp. 763-766. |
Rohde et al., “Digital Multi-Wavelength Generation and Real Time Video Transmission in a Coherent Ultra Dense WDM PON,” OFC/NFOEC Technical Digest, 2013 OSA, OM3H.3. |
International Search Report issued in connection with PCT/US2020/023871 dated Sep. 24, 2020. |
Guo-Wei Lu et al., “ Optical subcarrier processing for Nyquist SCM signals via coherent spectrum overlapping in four-wave mixing with coherent multi-tone pump”, Optics Express, vol. 26, No. 2, Jan. 22, 2018. |
International Search Report issued in connection with PCT/US2020/018180 dated Sep. 18, 2020. |
International Search Report issued in connection with PCT/US2020/036209 dated Oct. 1, 2020. |
International Search Report issued in connection with PCT/US2020/018292 dated Jun. 4, 2020. |
International Search Report issued in connection with PCT/US2020/021024 dated Aug. 3, 2020. |
Wei et al: Mac Protocols for Optical Orthogonal Frequency Division Multiple Access (OFDMA)-based Passive Optical Networks, OFC/NFOEC 2008, paper JWA82, Feb. 24-28, 2008 (Year: 2008). |
Cerisola et al., “Subcarrier multiplex of packet headers in a WDM optical network and a nouvel ultrafast header clock-recovery technique”, 1995, OFC '95 Technical Digest, pp. 273-274 (Year: 1995). |
Michael G. Taylor, “Coherent Detection Method Using DSP for Demodulation of Signal and Subsequent Equalization of Propagation Impairments,” IEEE Photonics Technology Letters, vol. 16, No. 2, Feb. 2004, pp. 674-676. |
K. Roberts, et al., “Performance of dual-polarization QPSK for optical transport system, ”JLT, vol. 27, No. 16, pp. 3546-3559, Aug. 2009. |
S.J. Savory et al., “Digital equalisation of 40Gbit/s per wavelength transmission over 2480km of standard fibre without optical dispersion compensation,” European Conference on Optical Communications (ECOC) 2006, paper Th2.5.5. |
H. Sun et al., “Real-time measurements of a 40 GB/S coherent system,” Jan. 21, 2008, vol. 16, No. 2, Optics Express, pp. 873-879. |
Greshishchev et al., “A 56GS/s 6b DAC in 65nm CMOS with 256x6b Memory”, ISSCC 2011/Session 1 0/Nyquist-Rate Converters/1 0.8, 2011 IEEE International Solid-State Circuits Conference, 3 pages. |
Bingham, “Multicarrier Modulator for Data Transmission: An Idea Whose Time Has Come”, IEEE Communications Magazine, pp. 5-14, May 1990, 8 pages. |
Yan et al. “Experimental Comparison of No-Guard-Interval-OFDM and Nyquist-WDM Superchannels”, OFC/NFOEC Techincal Digest, Jan. 23, 20212, 4 pages. |
Zhuge et al., “Comparison of Intra-Channel Nonlinearity Tolerance Between Reduced-Guard-Interval CO-OFDM Systems and Nyquist Single Carrier Systems”, OFC/NFOEC Technical Digest, Jan. 23, 2012, 4 pages. |
Zhang et al., “3760km, 100G SSMF Transmission over Commercial Terrestrial DWDM ROADM Systems using SD-FEC”, OFC/NFOEC Postdeadline Papers, Mar. 2012, 3 pages. |
Rahn et al., “250Gb/s Real-Time PIC-based Super-Channel Transmission Over a Gridless 6000km Terrestrial Link”, OFC/NFOEC Posteadline Papers, Mar. 2012,3 pages. |
Number | Date | Country | |
---|---|---|---|
20210111802 A1 | Apr 2021 | US |
Number | Date | Country | |
---|---|---|---|
62913484 | Oct 2019 | US |