The present disclosure relates generally to optical transceivers for use in fiber optic communication networks. More specifically, the present disclosure relates to low power, coherent optical transceivers utilizing the self demultiplexed detection of polarization multiplexed signals.
Fiber optic communication networks are experiencing rapidly increasing capacity growth. This capacity growth is reflected by individual channel data rate scaling from 10 Gbps, to 40 Gbps, to currently developing 100 Gbps, to future projected 1000 Gbps channels. The capacity growth is also reflected by increasing total channel counts carried within an optical fiber. The capacity growth may be addressed by several means, including expanding optical amplifier bandwidth, increasing modulation constellation to transmit multiple bits per symbol, and decreasing frequency spacing between information carrying channels.
The present disclosure focuses, in part, on an optical transceiver implementation with a tight channel spacing and multiple bit per symbol modulation constellation, such as M-Quadrature Amplitude Modulation (M-QAM).
Tight channel spacing improves spectral efficiency. One attractive approach for increasing spectral efficiency is to use a set of electronic subcarriers, each modulated by data of an identical rate and locked precisely to that data rate. This approach is widely used in communications, and is generally known as Orthogonal Frequency Division Multiplexing (OFDM) in wireless applications and Discrete Multi-Tone (DMT) in Digital Subscriber Line (DSL) applications. Such electrical multiplexing and filtering provides large spectral efficiency improvements over conventional optical filtering approaches.
Increasing constellation size, M, increases information transmission capacity, while keeping signal bandwidth the same. Unfortunately, this comes at a very substantial penalty of increased noise susceptibility, and, correspondingly, reduced optical unregenerated reach. As an approximation, the reach reduction is ˜50% in reach for each additional 1 bit of capacity per Hz, i.e. reach reduction occurs much faster than capacity increase. A change from Quadrature Phase Shift Keying (QPSK) to 16-QAM results in an ˜7 dB penalty, and, if a 100 Gbps QPSK signal propagates 3000 km, then a 200 Gbps 16-QAM signal will propagate ˜600 km.
A further issue with current state of the art implementations is the high power consumption associated with the digital signal processing (DSP) algorithms that are used to modulate/demodulate the signals, and to compensate for a variety of communication channel impairments. What is currently needed in the art is an approach that substantially simplifies these digital signal processing algorithms and provides a wide range of benefits. Specifically, an optical transceiver implementation, among other things: (1) should be scalable to optical transceiver (XCVR) designs carrying 1 Tbps and above, within a single circuit pack; (2) should partition capacity into low baud rate flows to simplify channel impairment compensation algorithms, thereby reducing circuit size and power consumption; (3) should be implementable in a highly integrated, preferably complementary metal oxide semiconductor (CMOS) or bipolar complementary metal oxide semiconductor (BiCMOS), platform, that minimizes size, power consumption, and cost; (4) should allow spectral utilization efficiency to approach signal baud rate limits; (5) should allow the use of optical and electronic components, bandwidth limited to a fraction of the desired total capacity (i.e. ˜40 GHz in today's state of the art); (6) should provide sufficient tolerance to chromatic dispersion (CD), polarization mode dispersion (PMD), and amplified spontaneous emission (ASE) noise to cover practical networks; (7) should be scalable to higher order modulation constellations, as desired; and (8) should use a combination of analog and digital signal processing to minimize optical and electronic complexity and power consumption.
Previous attempts to satisfy some of the above requirements for fiber optic communication networks provide several benefits and numerous drawbacks.
The coherent Wavelength Division Multiplexing (WDM) approach uses on-off keyed modulation and puts subcarriers onto a grid precisely locked to the data rate. The receiver uses optical filtering to select individual subcarriers and subsequent direct detection for conversion to the electrical domain. The drawbacks are substantial and include: low CD and PMD tolerance, an inability to scale to phase based or multi-bit/level symbol modulation formats, and poor ASE noise tolerance.
The coherent optical OFDM approach is essentially a direct application of wireless OFDM principles to the optical domain. “Virtual” subcarriers with superimposed data modulation are generated in digital electronics via an inverse Fast Fourier Transform (FFT) operation on the transmit side. Original data is recovered via a complementary digital FFT operation on the receive side. Disadvantages include the requirement for sophisticated DSP at the transmitter and receiver operating on the complete channel data, and a requirement for adding redundant cyclic prefix data. A requirement for optoelectronic component bandwidth to cover a complete channel is detrimental. Further, subcarriers within the OFDM channel are sufficiently low frequency such that complex phase recovery techniques are required.
The sub-band multiplexed coherent optical OFDM approach extends the above concept by stacking several OFDM channels very close together to form a quasi-continuous spectrum. Disadvantages are similar to coherent optical OFDM, dominated by signal processing complexity. It is unlikely that such an approach is practical and realizable considering the associated electro-optic power consumption. Further, sharp roll-off optical filters may be required in some implementations for sub-band separation.
Binary Phase Shift Keyed (BPSK) channels optically combined have been shown to be a possibility with a direct detection receiver and coherent detection. Disadvantages stem from the fact that proper operation still requires optoelectronic bandwidth on the order of the total spectrum encompassing the complete channel, which is substantially beyond the state of the art, assuming a 1000 Gbps channel. Some use lower bandwidth components, and, correspondingly, show a very substantial and detrimental performance penalty of several dB.
Single carrier M-QAM (BPSK, QPSK, 16-QAM, etc. . . . ) modulated channels may be positioned close together, while still providing spectrally separable content. Alternately, channels may be orthogonalized with spectral overlap. A coherent receiver may convert the received signals from analog to digital with a multi-GHz bandwidth ADC and then apply DSP for channel filtering, channel distortion compensation, and data decisions. Non-orthogonal channel spacing still wastes a significant fraction of the overall spectrum. The receiver for both approaches relies on DSP, which results in large chips with high power consumption, thereby substantially limiting the level of system integration that may be achieved.
A common theme to the problems outlined above is the high complexity of the electronic processing associated with providing the required detection and demodulation functions. The processing blocks rely on an Analog-Digital Converter (ADC) front end, with a high complexity CMOS based DSP back end. Digital approaches are considered de facto standards, with well established historical benefits, including: (1) good design and simulation tools; (2) well understood algorithms with deterministic results; (3) no noise accumulation in the logic, assuming sufficient digital resolution; (4) leverage of CMOS node reduction benefits of increasing transistor count, reduced power consumption, and increased operation speed; and (5) widely taught in schools due to the focus on inexpensive simulation tools. However, there are also significant problems with the DSP based approaches. CMOS scaling problems that industry is currently encountering may be enumerated as follows: (1) scaling CMOS node geometry down does not appreciably help ADC power consumption and complexity, as one scales into deep submicron, and power is roughly fixed on a per Gsample per sec metric; (2) mask fabrication and circuit design tool costs are approximately doubling with every node generation; (3) cost per circuit function is staying roughly flat, i.e. cost per processed bit is ˜flat; (4) data rate increases are forced to ride the bleeding edge of CMOS processes; and (5) there is an energy per bit bottleneck, due to supply voltage Vdd saturation in deep submicron CMOS.
A comparative example of digital vs. analog signal processing power consumption is as follows. A 13-tap time domain Finite Impulse Response (FIR) filter operating at 30 Gbaud consumes ˜2 W in a DSP implementation with a 45 nm CMOS (not counting ADC overhead), i.e ˜150 mW/tap. A 3-tap time domain FIR filter operating at 40 Gbps consumes ˜70 mW in an analog implementation with 180 nm CMOS, i.e. ˜20 mW/tap. Analog is 7.5× less power hungry than digital, while using extremely cheap CMOS geometry.
In various exemplary embodiments, the present disclosure provides an optical transceiver implementation that substantially simplifies the above DSP algorithms and, among other things: (1) may be scalable to XCVR designs carrying 1 Tbps and above, within a single circuit pack; (2) may partition capacity into low baud rate flows to simplify channel impairment compensation algorithms, thereby reducing circuit size and power consumption; (3) may be implementable in a highly integrated, preferably CMOS or BiCMOS, platform, that minimizes size, power consumption, and cost; (4) may allow spectral utilization efficiency to approach signal baud rate limits; (5) may allow the use of optical and electronic components, bandwidth limited to a fraction of the desired total capacity (i.e. ˜40 GHz in today's state of the art); (6) may provide sufficient tolerance to CD, PMD, and ASE noise to cover practical networks; (7) may be scalable to higher order modulation constellations, as desired; and (8) may use pilot tones and a combination of analog and digital signal processing to minimize optical and electronic complexity and power consumption.
In one exemplary embodiment, the present disclosure provides a polarization multiplexed optical system, including: a transmitter configured to transmit a polarization multiplexed signal and to insert a pilot tone as a state of polarization reference for the polarization multiplexed signal; and a receiver communicatively coupled to the transmitter and configured to extract the pilot tone and correspondingly polarization demultiplex the polarization multiplexed signal based on the extracted pilot tone.
In another exemplary embodiment, the present disclosure provides a polarization multiplexed optical method, including: inserting a pilot tone as a state of polarization reference for a polarization multiplexed signal; transmitting the polarization multiplexed signal with the pilot tone; receiving the polarization multiplexed signal with the pilot tone; and demultiplexing the polarization multiplexed signal using the pilot tone.
In a further exemplary embodiment, the present disclosure provides a polarization multiplexed transceiver, including: a transmitter; a receiver; circuitry within the transmitter configured to insert a pilot tone as a state of polarization reference for a polarization multiplexed signal; and circuitry within the receiver configured to demultiplex the polarization multiplexed signal using the pilot tone.
The present disclosure is illustrated and described herein with reference to the various drawings, in which like reference numbers are used to denote like system components/method steps, as appropriate, and in which:
In various exemplary embodiments, the present disclosure provides an optical transceiver implementation that inherently simplifies the electronic signal processing design. This provides simplicity, an ability to use lower cost 65 nm CMOS geometries (i.e instead of 32 nm CMOS geometries, for example) or 130 nm BiCMOS geometries, for example, lowers overall power consumption, and provides a path to higher levels of power limited system density.
The individual building blocks used in the present disclosure, such as OFDM, pilot tones, etc., are generally known to those of ordinary skill in the art, in the broadest conceptual sense, however the present disclosure provides a unique feed forward algorithm for processing of the received signal, a unique combination of features and functionalities, and simplifications in the resulting signal processing algorithms that allow the introduction of analog signal processing in the high rate data path, while using digital algorithmic computations for handling slow rate calibrations and adaptation of coefficients. The specifics of these features and functionalities are described in greater detail herein below.
In various exemplary embodiments, the present disclosure enables the SDD of PM signals, which provides for the automatic Polarization Demultiplexing of PM channels transmitted through an optical fiber with polarization axes arbitrarily distributed over distance and arbitrarily evolving over time. The SDD is achieved by a simple analog processing of pilot tone signals involving only a few multiplication and addition operations.
In various exemplary embodiments, the present disclosure also provides a high data rate optical transmitter and receiver, with the following universe of potential features: (1) data subcarriers targeting baud rate as an intersection between the highest rate supported by analog application specific integrated circuit (ASIC) circuitry, and the lowest rate required to minimize chromatic dispersion CD and PMD processing (with today's BiCMOS technology, this is ˜4 Gbaud); (2) each data subcarrier is modulated with QAM-type signals, and preferentially offset QAM to minimize inter-symbol and inter-carrier interference; (3) several data subcarriers are orthogonally frequency division multiplexed to fill a channel bandwidth defined by transmitter and receiver component bandwidths (drivers, optical modulators, photodetectors, etc. . . . ) (with today's bandwidth of ˜20 GHz, this is ˜9 subcarriers at 4 Gbaud, note: subsequent analysis is shown at sub-optimal 1.875 Gbaud, but the principles remain the same); (4) optical polarization multiplexing of composite OFDM signals to double channel spectral efficiency; (5) an addition of pilot tones on both sides of the signal spectrum; (a) pilot tones at different frequencies for the Horizontal and Vertical polarizations to allow electrical separation; (b) pilot tones substantially simplifying carrier phase recovery at the receiver, and allowing use of cheaper, higher line width optical sources, and scaling to higher QAM constellations; (c) 2 pilot tones allowing simple interpolations of the required phases for individual data subcarriers; (d) pilot tones allowing the simple feed-forward, single computation recovery of polarizations; (e) pilot tones allowing polarization recovery after an abrupt polarization change, as after a protection switch, with several nanosecond time constant; (f) pilot tones allowing simple feed-forward compensation of polarization dependent loss; (6) combining several polarization-multiplexed OFDM signals using wavelength domain multiplexing, where these channels do not have to be orthogonalized, but may be if somewhat higher spectral efficiency is desired, and where the number of combined wave channels is limited by the total thermal and real estate limits imposed by the integrated electronic and optical integrated circuits (ICs) (with current technology, this limit is around 1 Tbps of aggregate throughput); (7) data path processing is done predominantly in the analog domain to minimize circuit power consumption and real estate; (8) analog processing circuitry provides low frequency signals outside of the data path, which are digitized and processed in low speed, low power digital blocks to determine circuit calibration and channel impairment processing coefficients; and (9) digital processing of the local oscillator signals is used to optimize filter bandwidth to fit particular impairments observed by the optical channels, i.e. in an ASE limited or nonlinear phase noise limited range.
An important physical concept is the SDD for PM signals. In conventional PM optical fiber communication systems, polarization demultiplexing is a challenging task because the state of polarization (SOP) at the receiver differs from the SOP at the transmitter, in which horizontally and vertically polarized channels are combined together, due to random rotation of the optical fiber polarization axes varying over time. When a conventional coherent detection scheme without SDD, in which a local oscillator (LO) is simply mixed with a signal at a receiver, is used, the output is always a mixture of both polarization channels. Therefore, real time polarization tracking is required to demultiplex the PM channels. This real time polarization tracking is the equivalent of multiplying the Jones vector of the light field at the output of the optical fiber by the inverse Jones matrix of the optical fiber, which varies randomly over time. In SDD, we have orthogonal pilot tones (each at the SOP identical to the respective polarization channel) set at a transmitter at different carrier frequencies by using an appropriate modulation technique described below. When the pilot tones' frequencies are close to the data-carrying subcarrier frequencies, the optical fiber Jones matrix for each of the subcarriers is approximately the same as the Jones matrix of the appropriate pilot tone. Consequently, once the pilot signals are extracted at the receiver, their Jones matrices may be easily restored and used for polarization demultiplexing of the subcarriers.
At the SDD receiver 20, illustrated in
In parallel, the contents of the X and Y components of each of the RF data subcarriers is separately extracted. This is done in a similar manner by mixing the RF signal from the hybrid with a RF local oscillator, whose frequency is chosen such that the mixing product for each of the subcarriers ends up in the baseband. Applying a Nyquist filtering 22 and 23 after that allows us to frequency demultiplex the subcarrier channels with minimum Inter-Channel Interference (ICI) and Inter-Symbol Interference (ISI). Note that, at this point, the subcarrier channels are only frequency demultiplexed, but they still represent a mixture of the horizontally and vertically polarized channels and need to be polarization demultiplexed. Third, both X and Y components of each subcarrier channel signal are mixed with its virtual analog pilot signal, coming from the interpolator block 31 and 32, and the mixing products are summed up to produce an automatic polarization demultiplexing of H and V polarized channels for each of the subcarriers. In addition to the automatic polarization demultiplexing, the SDD based on the frequency separated pilot tones also enables automatic phase and frequency tracking, because the horizontal and vertical vector RF LO's turn out to be in phase with the RF signals in their respective polarization. The phase difference between the vector RF LO's and vector RF signals cancels out, because, for each polarization, both the RF LO and the RF signal have the same optical LO contents.
Another advantage of the pilot tones SDD technique is a better tolerance to the nonlinear penalties as compared to a conventional coherent detection technique. As the pilot tone experiences approximately the same cross phase modulation (XPM) as the signal does, the phase noise associated with the XPM is reduced when the pilot tone beats with the signal. As a result, the nonlinear signal distortion becomes partially compensated.
The system performance and impact of the nonlinear penalties was also simulated by transmitting 21 WDM channels with 50 GHz channel spacing and 8×1.875 GBaud OFDM QPSK in each channel though 11 spans of NDSF optical fiber and detecting the signal using the SDD scheme. The optical fiber system had the following parameters: span loss: 20.4 dB; NDSF dispersion coefficient: 17.3 ps/nm-km @ 1550 nm; Type0 Dispersion Compensation Module (DCM) dispersion coefficient: −102 ps/nm-km @ 1550 nm; erbium doped fiber amplifier (EDFA) noise figure: 6.5 dB; 21 channels with 50 GHz spacing; system PDL: 6 dB; and model type: split-step FFT Monte Carlo. The optical fiber link scheme is illustrated in
Again,
where Ω=2π×1.875 GHz. One can see from equations (1) that the in-phase and quadrature drive voltages, In and Qn, are such that In+iQn=einΩt (EnI+iEnQ) represents the data signal at n-th double sideband subcarrier frequency with EnI and EnQ being the in-phase and quadrature data components at the n-th subcarrier. The outputs, In and Qn, from the RF QPSK modulators are combined in the in-phase, Σ-I and Σ-Q, summers 14 and fed to in-phase MZM I and quadrature MZM Q of the combined optical Mach Zehnder modulator 15, respectively. The output of the optical Mach Zehnder modulator produces an optical field,
for the 1st vertically polarized channel centered at optical frequency, ω1. Signal modulation in the rest of the vertically polarized channels, from channel 2 to 10, is performed in a similar manner. Note that, in the exemplary embodiment illustrated in
Again,
where m=1÷8. This kind of mixing allows one to down-convert the m-th subcarrier to the base band. A matched analog Nyquist filter is then used to separate the contents in each of the OFDM subcarriers from the neighbor subcarriers with minimum ISI. In the next step, both the separated subcarriers, Wx,ym, along with the pilot tone signals, pH1,2, pV1,2 and pH1,2, pV1,2, are sent to the Multiplier Block 30 shown in
In the Multiplier Block 30, the pilot tone signals, pH1,2, pV1,2 and pH1,2, pV1,2, are processed in four Interpolator blocks, Interpolator Hx 33, Interpolator Vx 34, Interpolator Hy 35, and Interpolator Vy 36. Although, for the purpose of clarity, the Interpolator blocks 33, 34, 35, and 36 are shown in the
Starting with a polarization multiplexed OFDM signal with M=8 subcarriers generated by the transmitter 10 shown in
where δ is the relative phase offset between the carriers in the horizontal and vertical polarization channels at the fiber input caused by different light paths from the source laser to the polarization beam combiner, and ρ is the phase of the central subcarrier frequency component at the fiber input. The spectra of the Es0H and Es0V channels are shown schematically in the upper and lower insets of
where Pc is the power of each pilot tone in each polarization channel. The signal {right arrow over (E)}s0 is transmitted through a fiber with the Jones matrix
where ψ0(ω)=−(ω−ω0)2 Dac is the phase shift due to the CD,
is the cumulative dispersion, β″ is the 2nd order dispersion coefficient at ω, and ω0 is a center light frequency of the channel. In the most general representation of an optical fiber with arbitrary PMD and PDL, the matrix is:
where {circumflex over (F)} and Ĥ are arbitrary unitary matrices with |f1|2+|f2|2=|h1|2+|2|2=1, r2<1 is a PDL coefficient.
It has been shown that, for an arbitrary fiber Jones matrix, a simple combination of multiplication and adding operation between the RF pilot tone signals, pH1,2, pV1,2, pH1,2, pV1,2, and the subcarrier signals, Wx,ym, yields the original polarization demultiplexed signal. Such self demultiplexed combination is described by the following formula for the H-pol. channel:
r2CmH(t)=mHWym+mHWXm, (6a)
where CmH(t)=EHmI+iEHmQ, EHmI,Q are the in-phase and quadrature components of the m-th subcarrier signal in H-pol. respectively,
γ is a constant completely determined by the powers of the optical (PLO) and RF (|GLO|2) LOs and the power of the pilot tone
The self demultiplexed formula for the V-pol. channel is:
r2CmV(t)=mVWym+mVWxm, (7a)
where CmH(t)=EVmI+iEVmQ, EVmI,Q are the in-phase and quadrature components of the m-th subcarrier signal in V-pol. respectively,
In equations (6) and (7), pH1,2, pV1,2, pH1,2, pV1,2 are the dispersion compensated pilot tone signals:
pH1,2=pH1,2exp{i0.5Dac(6Ω)2},pV1,2=pV1,2exp{i0.5Dac(5Ω)2}
and
pH1,2=pH1,2exp{i0.5Dac(6Ω)2},pV1,2=pV1,2exp{i0.5Dac(5Ω)2}
In equations (6a) and (7a), the mH,V and mH,V are the virtual pilot tone signals for m-th subcarrier created in the Interpolator, described above, from the actual pilot signals pH1,2, pV1,2 and pH1,2, pV1,2. As follows from equations (6a) and (7a), the overall impact of PDL results in a reduction of amplitude of the polarization demultiplexed H-pol. signal, CmH(t), and V-pol. signal, CmV(t), by the same quantity equaled to the amount of PDL r2. This could have seemed counterintuitive at first glance because PDL, by itself, means a discrimination of one polarization component relative to the other one. However, in the SDD technique of the present disclosure, unlike conventional polarization tracking, one is detecting, in effect, a product of two signals, Z* and Vm
When PDL in an optical fiber is negligible, spectral components of the polarization channels launched in H and V polarization at each given frequency remain mutually orthogonal all the way in the optical fiber. This mutual orthogonality may be used as leverage for a somewhat simplified detection scheme. It has been shown that, for an arbitrary fiber Jones matrix with no PDL, the self demultiplexing formula for the orthogonal polarization detection (OPD) is as follows:
CmH(t)=γ1(*HmWxm+*HmWym),CmV(t)=γ1(*VmWxm+*VmWym), (8)
where the constant γ1=2/(PLO|GLO|2√{square root over (Pc)}. Once PDL is no longer zero, the formula in equation (8) is no longer valid and there may be significant cross-polarization penalties associated with PDL, depending on orientation of PDL axes. Note that this formula contains one less multiplication operation as compared to the SDD scheme described by equations (6) and (7). As a consequence, one may expect a somewhat smaller amount of noise associated with the multiplication operations and, hence, a somewhat better Q-factor. However, modeling shows that the Q-factor advantage of the OPD versus SDD is very limited, <0.3 dB in systems with no PDL. Besides, this advantage turns into a penalty when PDL exceeds about 0.3 dB. In addition to that, one more multiplication operation for SDD as compared to the OPD does not require any additional hardware or even any change in the receiver hardware scheme shown in
In general, OPD is the easiest for pilot signal processing, but is not tolerant to PDL. SDD is tolerant to PDL, but has a small (less than 0.3 dB) penalty relative to OPD.
The key function of the Interpolator is to take the pilot tone signals, pH1,2, pV1,2 and pH1,2, pV1,2, for the entire channel and convert them into individual pilot tone RF signals, mH,V and mH,V, for each m-th subcarrier, as if those pilot tone signals were set at the central frequencies of their subcarriers and were allowed to co-propagate with the subcarriers in the optical fiber. Because the pilot tone signals, pH1,2, pV1,2 and pH1,2, pV1,2, set at the edges of the channel spectrum, acquire different phase shifts relative to the subcarriers located inside the channel spectrum due to CD and PMD, care has to be taken to compensate for such phase.
The CD equalization is the easiest operation by the Interpolator block because the phase shifts in the pilot tones relative to the subcarriers due to the CD are fully determined by the cumulative dispersion in the optical fiber and frequency spacing between the pilots and subcarriers. The phase shift due to the CD at frequency ωn=ω0+nΩ, where ω0 is a center light frequency of the channel and −(N−1)≦n≦N−1, is −0.5Dac(nΩ)2, where
is the cumulative dispersion, β″ is the 2nd order dispersion coefficient at ωn.
In the 1st step of digital processing, in the Interpolator block, one digitally compensates for the CD phase shifts in the pilot tones to produce dispersion compensated pilot tone signals:
pH1,2=pH1,2exp{i0.5Dac(6Ω)2},pV1,2=pV1,2exp{i0.5Dac(5Ω)2}
and
pH1,2=pH1,2exp{i0.5Dac(6Ω)2},pV1,2=pV1,2exp{i0.5Dac(5Ω)2}.
These phase shifts are pre-set based on knowledge of the cumulative dispersion in the optical fiber. Once the interpolation due to PMD, described below, is done and a virtual pilot tone per m-th subcarrier is digitally created, the virtual pilot tone is phase shifted by means of its multiplication by exp[−i0.5ψ0(ωm)] in order to match the phase shift in the n-th subcarrier according to equations (6b) and (7b). The digitally created virtual pilot signals, mH,V and mH,V, are then digital-to-analog converted by using a low speed DAC and sent to the multipliers followed by the summers which realize in the analog domain the operation shown in equation (6a).
In an OFDM based system, there are two implications of PMD: (1) the inter-subcarrier PMD resulting in different phase shifts from a subcarrier to a subcarrier and (2) the intra-subcarrier PMD resulting in signal distortion due to PMD within the bandwidth of the subcarrier. In the present disclosure, the intra-subcarrier PMD is considered to be small because of the small bandwidth (small baud rate) of the subcarrier. On the other hand, the inter-subcarrier PMD causes significant phase shifts from a subcarrier to a subcarrier. One of the key functions in the Interpolator block is to compensate for the phase shifts due to the inter-subcarrier PMD. The principles of a straightforward interpolation algorithm for inter-subcarrier 1st order PMD compensation are described below.
In equations (6a) and (7a), CmH,V(t)=√{square root over (Ps/2M)}ei[φ
Both subcarrier generators at Tx and Rx operate based on a principle of harmonics generation. This means that the phase Ψ1 in the fundamental 1.875 GHz tone at Tx RF subcarrier generator 24 is cascaded to higher order tones, that is Ψn=|n|Ψ1, where −N≦n≦N and N is the highest order of a tone generated by the RF subcarrier generator. Note that n here designates the count of the tone rather than a count the subcarrier channel. Hence,
Similarly, at the Rx subcarrier generator, the RF LO tone signals are GLO,m=|GLO|exp(iθm), where
i.e. GLO,cV1,2=|GLO|exp(i5θ1), GLO,cH1,2=|GLO|exp(i6θ1) and θ1 is the phase of the fundamental 1.875 GHz tone at the Rx RF subcarrier generator.
Both the subcarrier clock recovery and compensation for inter-subcarrier phase mismatch in receiver the 12×RF subcarrier generator 24 are achieved digitally in the Interpolator block 33, 34, 35, and 36 using a low speed DSP in two steps: (1) the clock recovery, set by the phase Ψ1, is realized by digitally multiplying the pilot tone signals of the left hand side H-pol. pilot times the complex conjugate of the left hand side V-pol. pilot—because these two pilot tone signal are separated by one subcarrier spacing, such product contains a net phase term exp(iΨ1), and (2) once the clock phase Ψ1 is recovered, the inter-subcarrier phase mismatch term exp(iθ1) is extracted from digitally multiplying the left hand side H-pol. pilot signal by the complex conjugate of the right hand side V-pol. pilot signal.
A general representation of the fiber Jones matrix in the 1st order PMD approximation is:
r2<1 is a PDL coefficient, Ψ, ζ and χ,ξ angles characterize the input and output pairs of the principal states of polarization (PSPs), respectively, and τ is the differential group delay between the PSPs. It is clear from equation (A1) that the Jones matrix elements
where the coefficients C1,2ij, where i,j={1,2}, depend only on the Ψ,ζ and χ,ξ angles and PDL coefficient r and do not depend on frequency ω. For a given ij-th element, the coefficients C1,2ij are determined by the Jones matrix elements
from which
Substituting C1,2ij from equation (A3) into equation (A2), one finds, instead of equation (A3) above, the following formulas for the accurate interpolation of the 1st column Jones matrix elements
In a similar way, one finds the interpolation coefficients αVm and βVm, which also determine the Jones matrix elements
where the coefficients αVm and βVm are defined as:
From equations (A6) and (A7), one finds the following formulas for the accurate interpolation of the 2nd column Jones matrix elements
It is easy to see that, for the small DGD, (ωpH2−ωpH1)τ<<1, the accurate interpolation formulas (A5) and (A7) reduce to the linear interpolation formulas, respectively, that is, αHm→αHm,αVm→αVm and βHm→bHm,βVm→bVm, where:
From equation (A4) and relations coupling the Jones matrix elements at the H-pol. pilot tone frequencies to the pilot tone signals pH1,2 and pH1,2, one may couple the 1st column matrix elements
where GLO is a complex amplitude of the RF local oscillator field, Pc is the power of each pilot tone in each polarization channel, and PLO is the optical LO power,
Hm=αHmpH1+βHmpH2,
Hm=αHmpH1+βHmpH2.
δ is the relative phase offset between the carriers in the horizontal and vertical polarization channels at the fiber input caused by different light paths from the source laser to the polarization beam combiner, ρ is the phase of the central subcarrier frequency component at the fiber input, θ=(δx+δy)/2, δx and δy are the phases of x-polarized signal component Esx and y-polarized signal component Esy at the input of the x- and y-hybrids respectively, ΦLOx,y are the phases x- and y-polarized components of the LO at the x- and y-hybrids respectively. Similarly, from equation (A8) and relations coupling the Jones matrix elements at the V-pol. pilot tone frequencies to the pilot tone signals pV1,2 and pV1,2, one may couple the 2nd column matrix elements
Thus, the present disclosure addresses all of the above shortcomings simultaneously, and provides a robust and flexible architecture to accommodate scalable channel data rate increase. It is the ability to arbitrarily tradeoff the number of subcarriers versus the bandwidth of those subcarriers without the loss of spectral efficiency that results from traditional DWDM approaches that provides robustness in the proposed scheme. Benefits of the disclosure include the following, as examples: (1) minimized electronic processing, achievable either in analog or digital domains; (2) support for sufficient impairment compensation (chromatic and polarization mode dispersion, polarization demultiplexing); (3) open-loop compensation for ultra-fast polarization tracking with sub-microsecond speeds; (4) low-power feed-forward, low-cost digital computation block for channel impairment filter coefficient computations; (5) ability to improve nonlinear tolerance via pilot-tone based processing; (6) ability to use available, realistic electro-optic bandwidth components without additional interference penalties, enabling avoidance of extremely wide bandwidth electro-optical, electrical, and DSP components; (7) scalability to wide channel bandwidth, in excess of 100 Gbps, and targeting 1000 Gbps and higher; (8) reduction in total number of orthogonal carriers, which has been shown to reduce composite signal peak/average power ratio (PAPR), and increase nonlinear immunity; (9) elimination of guard bands between subcarriers, providing a substantial spectral efficiency improvement; (10) highly integrated CMOS based implementations for low cost and low footprint; (11) direct integration of electronic and optical functions on the same die or multi-chip module; and (12) provides an increase in spectral efficiency over conventional WDM systems.
Although the present disclosure has been illustrated and described herein with reference to preferred embodiments and specific examples thereof, it will be readily apparent to those of ordinary skill in the art that other embodiments and examples may perform similar functions and/or achieve like results. Likewise, it will be apparent that other applications of the disclosed technology are possible. All such equivalent embodiments and examples are within the spirit and scope of the present disclosure, are contemplated thereby, and are intended to be covered by the following claims.
The present disclosure is a continuation-in-part of U.S. patent application Ser. No. 12/691,474, filed on Jan. 21, 2010, now U.S. Pat. No. 8,498,542 and entitled “MULTI-CHANNEL OPTICAL TRANSCEIVER WITH OFFSET QUADRATURE AMPLITUDE MODULATION,” the contents of which are incorporated in full by reference herein.
Number | Name | Date | Kind |
---|---|---|---|
4831662 | Kuhn | May 1989 | A |
7606498 | Wu et al. | Oct 2009 | B1 |
8064767 | Shpantzer et al. | Nov 2011 | B2 |
20020003641 | Hall et al. | Jan 2002 | A1 |
20040016874 | Rao et al. | Jan 2004 | A1 |
20040114939 | Taylor | Jun 2004 | A1 |
20040204100 | Braithwaite | Oct 2004 | A1 |
20050019042 | Kaneda et al. | Jan 2005 | A1 |
20050265727 | Glingener | Dec 2005 | A1 |
20070280689 | Boffi et al. | Dec 2007 | A1 |
20080232816 | Hoshida et al. | Sep 2008 | A1 |
20090169208 | Grigoryan et al. | Jul 2009 | A1 |
20090196602 | Saunders et al. | Aug 2009 | A1 |
20100014873 | Bulow | Jan 2010 | A1 |
20100028011 | Kaneda et al. | Feb 2010 | A1 |
20100086303 | Qian et al. | Apr 2010 | A1 |
20100098411 | Nakashima et al. | Apr 2010 | A1 |
20100178057 | Shieh | Jul 2010 | A1 |
20110051215 | Zhou | Mar 2011 | A1 |
Entry |
---|
M. Nazarathy, D.M. Marom, W. Shieh; “Optical comb and filter bank (de)mux enabling 1 Tb/s orthogonal sub-band multiplexed CO-OFDM free of ADC/DAC limits”; European Conference on Optical Communications (ECOC) 2009, paper P3.12, Sep. 2009 (IEEE). |
J. Sewter et al.; “A 3-Tap FIR Filter With Cascaded Distributed Tap Amplifiers for Equalization Up to 40 Gb/s in 0.18-um CMOS”; IEEE Journal of Solid-State Circuits, vol. 41, No. 8, Aug. 2006, p. 1919. |
Yan Tang and William Shich, Members IEEE; “Coherent Optical OFDM Transmission UP to 1 Tb/s per Channel”; Journal of Lightwave Technology, vol. 27, No. 16, Aug. 15, 2009. |
Pierre Siohan (Member IEEE), Cyrille Siclet, and Nicolas LaCaille; “Analysis and Design of OFDM/OQAM Systems Based on Filterbank Theory”; IEEE Transactions on Signal Processing, vol. 50, No. 5, May 2002. |
Jinfeng Du, and Svante Signell, Senior Member, IEEE; Pulse Shape Adaptivity in OFDM/OQAM Systems; Communications Dept., School of Informational and Communication Technology, KTH—Royal Institute of Technology, Stockholm, Sweden, Feb. 2007. |
Takayuke Kobayashi, Member IEEE, Akihide Sano, Ejichi Yamada, Member IEEE, Eiji Yoshida, and Yutaka Miyamoto, Member IEEE; Over 100 Gb/s Electro-Optically Multiplexed OFDM for High-Capacity Optical Transport Network; Journal of Lightwave Technology, vol. 27, No. 16, Aug. 2009. |
Jinfeng Du, Savante Signell; “Classic OFDM Systems and Pulse Shaping OFDM/OQAM Systems”; Electronic, Computer, and Software Technology KTH—Royal Institute of Technology, Stockholm, Sweden; Feb. 2007. |
Gilad Goldfarb, Guifang Li, and Michael G. Taylor, Member, IEEE; “Orthogonal Wavelength-Division Multiplexing Using Coherent Detection”; IEEE Photonics Technology Letters, vol. 18, No. 24, Dec. 15, 2007. |
W. Shich, H. Bao, and Y. Tang; “Coherent Optical OFDM: Theory and Design”; Optics Express 841, vol. 16, No. 2, Jan. 21, 2008; Melbourne, AU. |
A.D. Ellis, F.C.G. Gunning, B. Cuenot, T.C. Healty, E. Pincemin; “Towards 1TbE Using Coherent WDM”; Tyndall National Institute and University College Cork Dept of Physcis, Cork, Ireland; Downloaded by Ciena on Oct. 12, 2008. |
M. Nazarathy, D.M. Marom, W. Shieh; “Optical comb and filter bank (de)mux enabling 1 Tb/s orthogonal sub-band multiplexed CO-OFDM free of ADC/DAC limits”; European Conference on Optical Communications (EOC) 2009; paper P3.12, Sep. 2009. |
J. Seweter, et al.; “A 3-Tap FIR Filter With Cascaded Distributed Tap Amplifiers for Equalization Up to 40 Gb/s in 0.18-um CMOS”; IEEE Journal of Solid-State Circuits, vol. 41, No. 8, Aug. 2006, p. 1919. |
Number | Date | Country | |
---|---|---|---|
20110255870 A1 | Oct 2011 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 12691474 | Jan 2010 | US |
Child | 13165324 | US |