The present invention relates generally to characterizing loops in a communication system, and more particularly to methods and apparatuses for loop gauge identification.
The subscriber loop which connects the customer premises equipment (CPE) to the central office (CO) can be affected by a wide range of impairments, including bridge taps, mixed wire gauges, bad splices, split pairs, untwisted drop cables, radio-frequency interference (RFI), and cross-talk. Although wire gauge of the loop and loop length are generally not considered actual impairments, they also have a huge impact on xDSL (i.e. ADSL, VDSL, etc.) transmission performance. Conventional methods for evaluating and qualifying a subscriber loop include the use of xDSL test units available on the market that are capable of performing such measurements. In addition, these test units are often combined with a “golden” modem plug-in module that emulates a real xDSL modem of a certain type, such as ADSL, in order to estimate the real bit rate instead of only the theoretical channel capacity. However, this approach requires sending a technician to the customer premises, which is very expensive. Meanwhile, conventional single-ended loop testing (SELT) can be used to extract information about the transmission environment and network topology in a DSL system by performing reflective measurements remotely at the CO or CPE terminal, without the need to dispatch a technician.
Regarding the problem of mixed wire gauges, in North America, the size of a copper wire is measured in American Wire Gauge (AWG) and represents the “thickness” or diameter of the copper wire. Historically, a wire gauge was determined by how much its diameter could be reduced when stepping through the wire die that was used to extrude it. So, for example, going from an 11 AWG to 12 AWG would reduce the wire diameter by a factor of about 0.89. This seems to be the limit and is still the case today.
Conventional gauge detection techniques include those that based on SELT measurements. However, a problem exists in that such techniques are interdependent on determining other features of the loop such as loop length estimation, bridge-tap location and termination detection, etc. Accordingly, a need for addressing potential problems arising from such interdependence exists.
The present invention relates generally to characterizing loops in a communication system, and more particularly to methods and apparatuses for loop gauge identification. In accordance with certain aspects, embodiments of the invention extract loop impedance information from the SELT signal. From various statistics and measures of the loop impedance, or equivalently input impedance Zin(ω), gauge identification is performed.
In accordance with these and other aspects, a method for identifying a gauge of a loop according to embodiments of the invention includes receiving a reflection of a signal on the loop, the reflection having a value for each of a plurality of tones in the signal, determining a plurality of impedance values of the loop using the reflection, and identifying the gauge of the loop using the plurality of impedance values.
In additional accordance with these and other aspects, a method for identifying a gauge of a loop according to embodiments of the invention includes receiving a reflection of a signal on the loop, the reflection having a value for each of a plurality of tones in the signal, determining a plurality of impedance values of the loop using the reflection, forming an initial estimate of the gauge of the loop using the plurality of impedance values, estimating a length of the loop using the initial estimate of the gauge, and identifying the gauge of the loop using the estimated length of the loop and the plurality of impedance values.
These and other aspects and features of the present invention will become apparent to those ordinarily skilled in the art upon review of the following description of specific embodiments of the invention in conjunction with the accompanying figures, wherein:
The present invention will now be described in detail with reference to the drawings, which are provided as illustrative examples of the invention so as to enable those skilled in the art to practice the invention. Notably, the figures and examples below are not meant to limit the scope of the present invention to a single embodiment, but other embodiments are possible by way of interchange of some or all of the described or illustrated elements. Moreover, where certain elements of the present invention can be partially or fully implemented using known components, only those portions of such known components that are necessary for an understanding of the present invention will be described, and detailed descriptions of other portions of such known components will be omitted so as not to obscure the invention. Embodiments described as being implemented in software should not be limited thereto, but can include embodiments implemented in hardware, or combinations of software and hardware, and vice-versa, as will be apparent to those skilled in the art, unless otherwise specified herein. In the present specification, an embodiment showing a singular component should not be considered limiting; rather, the invention is intended to encompass other embodiments including a plurality of the same component, and vice-versa, unless explicitly stated otherwise herein. Moreover, applicants do not intend for any term in the specification or claims to be ascribed an uncommon or special meaning unless explicitly set forth as such. Further, the present invention encompasses present and future known equivalents to the known components referred to herein by way of illustration.
According to certain general aspects, the present inventors recognize that in order to minimize the unwanted expense and delay associated with sending different technicians to different portions of a xDSL loop, it is desirable that the location of the fault be identified prior to dispatching service personnel to correct the problem. As set forth above, SELT can be used to extract information about the transmission environment and network topology in a DSL system by performing reflective measurements remotely at the CO or CPE terminal, without the need to dispatch a technician. As an example, SELT may comprise injecting signals into a loop under test in order to determine the loop capability for supporting different kinds of xDSL services. Alternatively, SELT can be used to determine loop length, the location of bridge taps, and the length of bridge taps. As such, SELT often plays an important role in xDSL provisioning and maintenance.
According to certain additional aspects, the present inventors further recognize that, in order to determine all of the aforementioned impairments accurately, the wire gauge of the DSL loop should be known a priori. Therefore, gauge detection plays an important role in xDSL impairment detection modules. In addition, some cables may introduce higher impedance due to their gauge and may be candidates for being replaced with lower impedance (i.e. different gauge) cables. For this latter purpose, the xDSL provider should be aware of the current gauge of the cable and based on the obtained information the provider company may decide on a potential cable change.
As set forth above, in wired communication systems (such as DSL, cable modem etc.) loop diagnostics are often based on analyses of SELT data. For example, CPE 102-1 or CO 104 can perform diagnostics to characterize loop 106-1 using SELT signals transmitted by CPE 102-1 or CO 104 on loop 106-1 and reflected back to CPE 102-1 or CO 104. Specifically, in an example wherein system 100 is operating according to VDSL2, a conventional SELT performed by CPE 102-1 or CO 104 can include transmitting symbols (e.g. modulated REVERB symbols) for a period of about 5 seconds to about 2 minutes, and measuring the reflections (i.e. obtaining S11 data) from loop 106-1. In VDSL2 embodiments, a pulsed wideband signal such as that described in co-pending U.S. application Ser. No. 14/339,862, the contents of which are incorporated by reference herein in their entirety, is used, comprising all upstream and downstream tones up to 17 MHz.
According to certain aspects, embodiments of the invention include methods and apparatuses incorporated in either or both of CPEs 102 and CO 104 to detect the wire gauge of loops 106 based on information extracted from the SELT measurement. Embodiments described in detail below will be provided in connection with detecting the wire gauge as being either 24-AWG or 26-AWG. However, the invention is not limited to these examples, and the principles of the invention can be extended to detecting other gauges and more than just one of two gauges.
As set forth above, one aspect of the gauge detection algorithm of embodiments of the invention is to extract information from the SELT measurement. From SELT, the loop impedance, or equivalently input impedance Zin(ω), can be derived. Mathematically, input impedance is calculated using standard methods and is given by:
in which s11(ω) is the Frequency Domain Reflectometry (FDR) response of the transmitted SELT signal (i.e. Tx(ω)/Rx(ω)) and the number 100 represents the reference impedance, which is typically about 100 ohms for twisted pair cables. From the real and imaginary components of Zin(ω), its absolute value abs(Zin(ω)) is calculated.
As mentioned above, an aspect of embodiments of the invention is to distinguish between 24-AWG and 26-AWG cables based on input impedance information. To provide background on how this information can be used according to the principles of the invention,
An example methodology of detecting the gauge of a loop using SELT measurement data according to embodiments of the invention will now be described in connection with the flowchart in
As shown in the example of
In this first step, several statistical features are extracted from abs(Zin(ω)). To this end, abs(Zin(ω)) is averaged over all tones to obtain a value meantotal. Furthermore, the average of abs(Zin(ω)) is calculated over windows of width equal to 500 tones. It should be noted that abs(Zin(ω)) may not be available at some tones in all embodiments due to bandwidth or transceiver limitations. In one VDSL example and using the pulsed wideband SELT signal of the co-pending application, the windows for which averages of abs(Zin(ω)) are calculated are tones 500-1000 (mean500-1000) tones 1000-1500 (mean1000-1500), tones 1500-2000 (mean1500-2000), tones 2000-2500 (mean2000-2500), tones 2500-3000 (mean2500-3000), tones 3000-3500 (mean3000-3500), and tones 3500-4000 (mean3500-4000). Also, in order to obtain more information out of abs(Zin(ω)), the averages of larger windows of tones are also calculated, for instance over tones 500-1500 (mean500-1500) tones 500-2500 (mean500-2500) tones 500-4000 (mean500-4000), and tones 2000-4000 (mean2000-4000). As shown in the figures, abs(Zin(ω)) has multiple ringings and fluctuations up to tone number 500, and thus this part of the spectrum is considered with less weight in the averaging process. An aspect of embodiments is to take advantage of the entire frequency band to extract an impedance characteristic of the cable.
The abs(Zin(ω)) mean values obtained as described above are compared with respective thresholds. In embodiments, these thresholds are obtained from SELT experiments conducted using various lengths of both cables, terminated by a 100 ohm resistor, and stored in a memory accessible to the module performing the gauge detection method of the invention. Theoretically, a terminated xDSL cable should have input impedance close to 100Ω. However, if the cable is facing an impairment (such as an open termination or having a bridge tap on the loop), this impedance may increase. Having compared the presently calculated mean values for the loop under test to their respective thresholds, the final decision for this initial step is based upon a majority logic technique. In other words, a cable is detected as a 24-AWG cable if, among the mean values above, more numbers are below the threshold than above it. This algorithm is called multiple-mean algorithm.
The present inventors have discovered that the methodology described above in connection with step S702 is able to accurately detect the gauge on terminated loops longer than about 500 feet, and at this point gauge detection can be declared for such loops without further processing in some embodiments. It should be noted that additional processing can be performed in advance or in conjunction with step S702 to determine whether the loop is a terminated loop or an open/short loop. For example, the present inventors have recognized that min {abs(Zin(ω))} can be used to distinguish between open/short and terminated loops on loops within the range of 0 to 3200 feet. Compare, for example, the curves in
Returning
To assist in understanding the additional processing, an example of min {abs(Zin(ω))} versus loop length is shown in the plot of
Next in step S704, using the SELT measurement S11 data obtained previously, as well as the initial gauge estimate using the multiple-mean algorithm from step S702, a loop length estimate is performed. There are various approaches known in the art to estimate the loop length, among which are techniques based on Time Domain Reflectometry (TDR) (see, e.g., co-pending U.S. application Ser. No. 14/341,538). Further details of such approaches will be omitted here for sake of clarity of the invention.
According to certain aspects, embodiments of the invention detect the gauge using min {abs(Zin(ω))} values and loop length estimation by exploiting the distinction between min {abs(Zin(ω))} values of 24-AWG and 26-AWG loops for every value of loop length as per
Next in step S706, the values of A and B are compared to each other. If A and B are close enough (e.g. within 10% of each other in this example), processing advances to step S710 and the detected gauge from step S702 is deemed to be correct.
Otherwise, if this is the first time A and B have been compared in step S706 (i.e. flag=0), processing continues to step S708 where the initial gauge estimate is converted to the other gauge (i.e. if the initial gauge estimate was 24-AWG, it is converted to 26-AWG and vice-versa). Also in step S708 the flag is set to 1.
More particularly, as can be seen from
According to these and other aspects of the present embodiments, returning to
The present inventors have discovered additional or alternative processing to improve the accuracy of the example gauge detection algorithm described above in connection with
For relatively short terminated loops of 24-AWG (i.e. 700 ft. or shorter), max {abs(Zin(ω))} is beyond 130Ω (or a value close to this number on different boards and different band plans), while for 26-AWG cables, max {abs(Zin(ω))} is below 130Ω for almost any loop length. Therefore, for terminated loops with max {abs(Zin(ω))}≧130 ohms, the calculated mean values used in the Multiple-Mean algorithm are multiplied by a factor of 0.97 to improve the detection of 24-AWG terminated cables specifically on loops of 0 to 700 ft., while maintaining the detection of 26-AWG cables in almost the same level as before.
For 24-AWG open loops, the present inventors have likewise discovered that their max {abs(Zin(ω))} is beyond 300Ω (or a value close to this number on different boards and different band plans) for relatively short open loops (i.e. 700 ft. or shorter). However, for 26-AWG cables, max {abs(Zin(ω))} is below 300Ω for almost any loop length. Therefore, for open loops with max {abs(Zin(ω))}≧300 ohms, the calculated mean values are multiplied by a factor of 0.97 to improve the detection of 24-AWG open cables specifically on loops of 0 to 700 ft. while maintaining the detection of 26-AWG cables in almost the same level as before.
In order to extend the methodology described above in connection with
An example for various lengths of close bridge taps is given in the table below:
As shown above, for bridge taps close to the CPE, the impact of the bridge tap on min {abs(Zin(ω))} is more dominant when l1≧l0. In order to implement a gauge detection algorithm on loops with a bridge tap, min {abs(Zin(ω))} should be measured and stored for various combinations of bridge tap location l0 and bridge tap length l1. This procedure should be repeated for various loop lengths. Considering the fact that a bridge tap far from the CPE has no impact on min {abs(Zin(ω))}, the number of combinations of l0 and l1 for which min {abs(Zin(ω))} should be measured will be significantly reduced. Having done that, the similar algorithm as for the case with no bridge tap should be implemented.
To assist in understanding the above and other aspects of the invention,
It should be noted, that typical xDSL modems include many additional components than shown in
It should be further noted that apparatuses according to the invention are not limited to being incorporated in a xDSL modem as shown in
As shown, block 900 according to embodiments of the invention includes a SELT sequence block 920 that causes mapper 902 to form symbols for performing SELT tests according to techniques known to those skilled in the art, or those described in the co-pending application. The symbols formed by mapper 902 (Tx) are converted to time domain by iFFT 904, and converted to analog signals by A/D 906. As shown in the example of
As described above and shown in
Although the present invention has been particularly described with reference to the preferred embodiments thereof, it should be readily apparent to those of ordinary skill in the art that changes and modifications in the form and details may be made without departing from the spirit and scope of the invention. It is intended that the appended claims encompass such changes and modifications.
The present application claims priority to U.S. Prov. Appln. No. 62/028,723, filed Jul. 24, 2014, the contents of which are incorporated herein by reference in their entirety.
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