Methods and apparatus for providing equalization between communication devices are described, and more particularly, equalization methods and apparatus that counter the potentially destabilizing effects of impulse noise and like temporary impairments are described.
Equalization permits communication devices communicating with one another via communication signals on a communication channel to compensate for linear distortion impairments experienced with the communication signals on the communication channel. Examples of linear distortion impairments include micro-reflections (a short time delay echo or reflection caused by an impedance mismatch), group delay variation (a difference in propagation time where some frequency components of a signal may arrive before others), in band amplitude ripple/tilt (a non-flat frequency response), and the like.
Adaptive equalizers can be utilized to compensate for linear distortion impairments. The adaptive equalizers accomplish equalization by developing a digital filter that reverses or negates the affects of the linear distortion and that has approximately the opposite complex frequency response of the channel through which a desired signal is transmitted. An example of a communication system that may use equalization techniques and adaptive equalizers is a conventional cable modem system.
A typical cable modem system includes a network providing point-to-multipoint topology for supporting data communication between a Cable Modem Termination System (CMTS) at the cable headend and multiple cable modems at the customer premises. The headend is a central facility that is used for receiving, processing, and combining broadcast, narrowcast and other signals to be carried on the cable network. In such systems, information is broadcast downstream from the CMTS at the headend to the cable modems as a continuous transmitted signal in accordance with a time division multiplexing (TDM) technique. In contrast, information is transmitted upstream from each of the cable modems to the CMTS as short burst signals in accordance with a time division multiple access (TDMA) technique.
The upstream transmission of data from the cable modems is managed by the CMTS, which allots to each cable modem specific slots of time within which to transfer data. Conventional cable modem systems utilize DOCSIS-compliant equipment and protocols to carry out the transfer of data packets between multiple cable modems and the CMTS. The term DOCSIS (Data Over Cable System Interface Specification) refers to a group of specifications that define industry standards for cable headend and cable modem equipment.
Within the DOCSIS standard, the upstream transmission (from the subscriber premises toward the network and CMTS) is a burst type of communication and the linear distortion affecting each communication is unique to each subscriber site/modem. As a result, the CMTS of such a system must adapt its adaptive equalizer to match the unique characteristics of each subscriber's transmission. This process is referred to as “post-equalization” and requires longer preamble transmissions for burst type upstream transmissions prior to the actual data passing for the post-equalization to be effective. The longer preambles result in increased overhead.
The DOCSIS specification permits the increased overhead demanded by post-equalization to be countered and reduced by providing for a “pre-equalization” process. Pre-equalization is a process by which the CMTS communicates a unique digital filter to an adaptive pre-equalizer of each subscriber modem. The adaptive pre-equalizer is a circuit or the like in the subscriber modem that pre-equalizes or pre-distorts upstream signals transmitted by the modem to compensate for expected and pre-measured linear impairments. Accordingly, the adaptive pre-equalizer of the modem utilizes the digital filter information provided by the CMTS to enhance any successive upstream transmissions from the modem to the CMTS. The subscriber modem is then able to send its data bursts without the overhead of the long preamble.
The pre-equalization process requires the CMTS at the headend to measure and estimate the distortion of communication signals received from each subscriber modem and to then determine unique filter equalization coefficients for each modem needed to compensate for the measured distortion. Thereafter, the unique filter equalization coefficient or a subsequent update thereof is relayed to each modem to update equalization coefficient settings of the adaptive pre-equalizer of the particular modem. The digital filter created is then applied to all future burst communication signals transmitted by the modem to the CMTS until the modem receives an update or a further update from the CMTS. In this manner, linear distortion of communication signals is properly compensated and the signals received by the CMTS require less or no post-equalization.
A problem can arise with the above referenced pre-equalization process when equalization coefficients or updates thereof are improperly determined by the CMTS due to impulse noise or like transient impairment present on the communication channel when the CMTS measures and determines distortion experienced on the communications channel. During the CMTS measurement process, a temporary impairment such as impulse noise or the like can significantly corrupt the digital filter that is derived by the CMTS and that is subsequently sent to the subscriber modem. If this occurs, any subsequent data transmissions from the modem will have errors due to the use of improper equalization coefficients and possibly all communications may be lost between the CMTS and modem requiring re-registration of the modem.
Communication techniques have been derived with respect to minimizing the effects of impulse noise; however, these techniques are directed to correcting the data burst transmission through various coding schemes. For example, Reed-Solomon Forward Error Correction (RS FEC) is a method of error detection and correction in which redundant information is sent with a data payload in order to allow the receiver to reconstruct the original data should an error occur during transmission. This type of correction occurs at a higher layer in the communications stack above the physical layer. In contrast, equalization occurs at the physical layer (i.e., the actual signal communications step). When considering corruption by a temporary event such as impulse noise, algorithms such as RS FEC or coding gain (achieved with spread communication technologies such as SCDMA) can be used to correct the affects of the single unique event upon the single data transmission. However, in the case of technologies such as pre-equalization where measurements are taken to derive a compensation filter for subsequent future transmissions, often many subsequent data transmissions, the affect of that one temporary noise event may subsequently destroy many more data transmissions.
This disclosure describes a method of updating equalization coefficients of an adaptive pre-equalizer of a network element. The method includes monitoring a communications channel to measure distortion of a communications signal received from the network element and determining whether a transient impairment is present in the communication signal. When a transient impairment is determined not to be present, the method includes a step of transmitting pre-equalization coefficients in the form of an update to the network element. However, when a transient impairment is determined to be present, the method includes scaling the pre-equalization coefficients before transmitting the pre-equalization coefficient update to the network element. The above referenced steps are performed by an electronic communications device having an equalizer unit.
This disclosure also describes a method in which a communications channel is monitored to measure distortion of a communication signal received from a network element and to determine whether a transient impairment is present in the communication signal as received. When a transient impairment is determined not to be present, a pre-equalization coefficient update is transmitted to the network element. When a transient impairment is determined to be present, transmission of the pre-equalization coefficient update is modified or withheld. The steps of monitoring, determining, modifying, transmitting and/or withholding are performed by an electronic communications device having an equalizer unit.
This disclosure further describes apparatus for communicating with a network element and for transmitting a pre-equalization coefficient update to the network element. The apparatus includes an equalizer module configured to determine pre-equalization coefficients for the network element from measurements of distortion taken by the apparatus from a communications signal received from the network element. The apparatus is configured to determine whether a transient impairment is present in the communication signal. The apparatus is also configured to transmit the pre-equalization coefficient update to the network element in a normal state of operation when a transient impairment is not present, and the apparatus is configured to withhold or modify the pre-equalization coefficients, including but not limited to scaling the pre-equalization coefficients with a scaling factor of less than one before transmitting a pre-equalization coefficient update to the network element or withholding from transmitting the pre-equalization coefficient update to the network element in an impaired state of operation when a transient impairment is determined to be present.
Various features of the embodiments described in the following detailed description can be more fully appreciated when considered with reference to the accompanying figures, wherein the same numbers refer to the same elements.
For simplicity and illustrative purposes, the principles of the embodiments are described by referring mainly to examples thereof. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments. It will be apparent however, to one of ordinary skill in the art, that the embodiments may be practiced without limitation to these specific details. In some instances, well known methods and structures have not been described in detail so as not to unnecessarily obscure the embodiments.
As discussed above, equalization permits communication devices communicating with one another via communication signals on a communication channel to compensate for linear distortion impairments to which the communication signals are subject on the communication channel. One of the communication devices may have an adaptive equalizer as discussed above and another may have an adaptive pre-equalizer. While many different communication systems and devices may utilize such equalization techniques,
The CMTS 14 may have an adaptive equalizer, or equalizer unit, 34 associated with a transmitter/receiver or transceiver unit 36 which may provide bi-directional communication with a plurality of the network elements 12 through a plurality of the network taps within the HFC network 18. The CMTS 14 may contain a plurality of transceiver units 36, such as eight or more transceiver units 36, each supporting about 100 or more network elements 12. The transceiver unit 36 can be used to obtain measurements of impairments and distortion experienced on the communications channel and to acquire equalization coefficient updates for network elements 12 from the equalizer unit 34. The equalizer unit 34 may be in the form of a circuit embedded within the CMTS receiver or the like in the CMTS 14 that is able to create a digital filter for each network element for compensating for previously measured linear channel impairments.
The equalization coefficients needed to be sent to the network element 12 to create the required digital filter is derived from measurements relating to impairments affecting transmissions received by the CMTS 14 from the network element 12. By way of example, the CMTS 14 may develop the equalization coefficients based on measurements of distortion obtained via network element Station Maintenance (SM) bursts received by the CMTS 14 during periodic ranging requests. The equalization coefficients developed by the equalizer unit 34 of the CMTS 14 are then sent to the network element 12 in a ranging response message to the network element 12 for purposes of updating the equalization coefficients used by the network element 12. Periodic ranging may occur relatively frequently at about every 30 seconds or about every 10 to 20 seconds.
As previously discussed, a single impulse noise or transient impairment event occurring on the communications channel during measurements of distortion taken by the CMTS 14 can greatly affect the definition of the digital filter developed by the equalizer unit 34 of the CMTS 14 that will ultimately be sent to the adaptive pre-equalizer 44 of the network element 12 and used during pre-equalization by the network element 12 during subsequent upstream transmissions. This influence can be significantly reduced or limited by modifying through scaling, downgrading, or reducing selected equalization coefficients to be transmitted as updates or by not transmitting updates to network elements 12 when impulse noise or like transient impairments are believed to have influenced the produced definition of the digital filter developed by the CMTS 14.
According to the DOCSIS pre-equalization approach, equalization coefficient updates derived by the CMTS 14 and sent to the subscriber network element 12 reflects a filter “update” and not a single filter load (i.e., full filter definition). Thus, the coefficient updates are “added” to the existing pre-equalization filter currently set in the network element to arrive at the new set of coefficients. This is accomplished via a process known as convolution.
If an impulse noise event occurs when the CMTS 14 is measuring distortion, then the changes to pre-equalizer filter developed by the equalizer unit 34 will be relatively large. Such an update developed and affected by the impulse noise will actually degrade communication performance when it is applied and put into use by the adaptive pre-equalizer 44 of the network element 12 since impulse noise is a transient non-linear event introducing errors in the equalizer's estimation of linear distortion. During the subsequent time that the CMTS 14 measures the channel, it may be highly unlikely that another impulse noise event would occur at the same time; thus, the next update may accurately reflect the linear distortion conditions of the channel. However, by the time of the next update, the adaptive pre-equalizer 44 of the network element 12 may have too much estimation error to equalize properly resulting in transmission errors or may have exceeded the point of maximum correction and become unstable.
For purposes of preventing the above referenced problem, the equalizer unit 34 of the CMTS 14 can be designed to reduce or downscale the developed equalization coefficient updates to be sent to the subscriber network elements 12. This may occur for all such updates or only for updates believed to be obtained from distortion measurements believed to have been influenced by a transient impairment. In this manner, if the impairment is a sustained linear event, then subsequent updates will collectively add together and allow the system to properly compensate for the linear distortion. However, if the impairment is a temporary event (such as impulse noise), then the single event will not result in system degradation to the point that communications is lost. Subsequent updates will simply remove the affects of the single impulse event. As another alternative, any update calculation believed to have been influenced by a transient event can be prevented from being sent by the CMTS 14 to the network element 12.
In one contemplated embodiment, the magnitude of the equalization coefficients determined by the equalizer unit 34 of the CMTS 14 may always be scaled so as to reduce the total impact of any one pre-equalization update sent to the adaptive pre-equalizer 44 of the subscriber network element 12. In this approach, every update would be scaled down or reduced and every update would be sent.
The specifics of the scaling process can be as follows. The adaptive pre-equalizer 44 has a number of filter “taps” through which the modulated carrier signal of an upstream transmission is passed. One of the taps is designated the main tap, and the remaining taps are referred to as non-main taps. Each tap has both a real part and an imaginary part. Each real part and each imaginary part are assigned equalizer coefficients that are used to cancel interference within the modulated carrier signal. The adaptive pre-equalizer 44 for an ideal communications channel is one where the main tap complex coefficient is 1+0j and all other taps are 0+0j. When the equalizer is attempting to adjust for linear distortion, then energy will be present in the non-main tap (that is, it will be nonzero) and the main tap will be reduced in power. One simple implementation of the scaling process is to scale (such as by ½, ¼, ⅛, or 1/16) the power of each of the non main tap coefficients. In the implementation of this algorithm, the CMTS 14 will scale all of the coefficients except for the main tap for all equalization coefficient updates sent to all subscriber network elements.
According to another embodiment, which is best shown in
Referring more specifically to
As an alternative to not sending updates when in the Impaired State of step 56, the equalization coefficients can be subject to scaling, as described above, and sent to the network element 12 for being applied to the adaptive pre-equalizer 44. If such scaling is provided, the equalization coefficient updates may be scaled by a fixed value, such as by a factor of one-sixteenth ( 1/16) or some other desired scaling amount. As another alternative, the degree of scaling can be determined based on the magnitude of the impulse noise or transient impairment event measured during the monitoring step 50. The transient magnitude of the impulse noise or transient impairment may be accessed based on the magnitude of interference power, impulse duration, duty cycle, or a combination thereof. For instance, a larger measured impulse noise event may result in the use of greater scaling, such as by a factor of one-sixteenth ( 1/16), and a smaller measured impulse noise event may result in the use of a smaller scaling value, such as by a factor of one-fourth (¼). Classification of larger and smaller impulse events can be based on metrics, such as, the strength of the impulse (power), duration of the impulse, repetition of successive impulses, or some combination of these metrics. Thus, the degree of scaling can be determined based upon the magnitude of the impulse/transient event thereby enabling updates to continue to be sent to the network element 12 despite the known occurrence of an impulse/transient event which may have affected the update determination.
With respect to determining the intervals when transient (impulse noise) events are present on the communications channel in steps 50 and 52, there are several contemplated options. For instance, the CMTS 12 can be used to monitor upstream modem Modulation Error Rate (MER). MER is the ratio of average symbol power to average error power, and the higher the MER, the cleaner the received signal. Another example is to take idle-period noise measurements. As another option, “equalizer stress” which is assessed by the variability of correction developed by the equalizer unit 34 of the CMTS 14 can be monitored. Here, a non-main tap to total energy ratio (NMTER) could be used as a metric for determining equalizer stress.
Yet another option is to monitor Forward Error Correction (FEC) statistics which are typically good indicators of transient impulse events. Specifically, monitoring the RS FEC corrected or errored codeword statistics provides a ready means for determining intervals when scaling should be enabled or a degree of scaling should be increased. Still further, significant degradation in the single unique burst MER when CMTS equalization adaptation is performed (Initial Maintenance (IM) and Station Maintenance (SM) in the case of the DOCSIS specification) could be used to yield a good indicator of impulse issues. Thus, any of the above techniques or others could be used by the CMTS 14 to identify impulse noise or transient impairment events.
For purposes of providing a specific example, the following algorithm can be used in steps 50 and 52 for purposes of determining whether or not an impulse noise or transient impairment event is present on the channel. The sample process assesses equalizer stress and is defined as follows:
Updates developed by the CMTS 14 at each data point on
The above referenced algorithm is provided as an example of how an adaptive and automated process may be implemented using physical link parameters. Equalizer correction/updates may be identified for further processing/scaling or withheld entirely to ensure DOCSIS link stability. Algorithms should modify or withhold coefficient updates that are corrupted by illegitimate impairments including impulse noise and narrowband interference. All corrections for legitimate impairments including micro-reflections, group delay variation, and amplitude distortion should be fully communicated to cable modems for optimal DOCSIS link performance and stability.
In addition or instead of sending, withholding from sending, or scaling equalization coefficient updates, the CMTS 14 can also send messages to networks elements 12 to cause the adaptive pre-equalizer 44 to perform other desired operations when the presence of a noise impulse or transient impairment is identified by the CMTS 14. For example, the CMTS 14 could forward an instruction to the network element 12 to perform a hard reset of the equalization coefficient values to stored values or to perform reset to the last set of equalization coefficient values that were known to function properly. Thus, if the CMTS 14 determines the presence of an impulse noise or transient impairment, the CMTS 14 in step 56 can send a reset or other instruction instead of or in place of an update. These instructions could be existing DOCSIS standard signaling, such as TLV4 and TLVS modem configuration settings, and could be sent for the purpose of maintaining link stability while minimizing required convergence time of the equalization process.
The algorithm discussed above and the process shown in
While the principles of the invention have been described above in connection with specific devices, systems, and methods, it is to be clearly understood that this description is made only by way of example and not as limitation on the scope of the invention as defined in the appended claims.
Number | Name | Date | Kind |
---|---|---|---|
3838221 | Schmidt et al. | Sep 1974 | A |
4245342 | Entenman | Jan 1981 | A |
4385392 | Angell et al. | May 1983 | A |
4811360 | Potter | Mar 1989 | A |
4999787 | McNally et al. | Mar 1991 | A |
5228060 | Uchiyama | Jul 1993 | A |
5251324 | McMullan | Oct 1993 | A |
5271060 | Moran et al. | Dec 1993 | A |
5278977 | Spencer et al. | Jan 1994 | A |
5347539 | Sridhar et al. | Sep 1994 | A |
5390339 | Bruckert et al. | Feb 1995 | A |
5463661 | Moran et al. | Oct 1995 | A |
5532865 | Utsumi et al. | Jul 1996 | A |
5557603 | Barlett et al. | Sep 1996 | A |
5606725 | Hart | Feb 1997 | A |
5631846 | Szurkowski | May 1997 | A |
5692010 | Nielsen | Nov 1997 | A |
5694437 | Yang et al. | Dec 1997 | A |
5732104 | Brown et al. | Mar 1998 | A |
5790523 | Ritchie et al. | Aug 1998 | A |
5862451 | Grau et al. | Jan 1999 | A |
5867539 | Koslov | Feb 1999 | A |
5870429 | Moran et al. | Feb 1999 | A |
5886749 | Williams et al. | Mar 1999 | A |
5939887 | Schmidt et al. | Aug 1999 | A |
5943604 | Chen et al. | Aug 1999 | A |
6032019 | Chen et al. | Feb 2000 | A |
6061393 | Tsui et al. | May 2000 | A |
6108351 | Hardy et al. | Aug 2000 | A |
6154503 | Strolle | Nov 2000 | A |
6229792 | Anderson et al. | May 2001 | B1 |
6230326 | Unger et al. | May 2001 | B1 |
6233274 | Tsui et al. | May 2001 | B1 |
6240553 | Son et al. | May 2001 | B1 |
6272150 | Hrastar et al. | Aug 2001 | B1 |
6278730 | Tsui et al. | Aug 2001 | B1 |
6308286 | Richmond et al. | Oct 2001 | B1 |
6310909 | Jones | Oct 2001 | B1 |
6321384 | Eldering | Nov 2001 | B1 |
6330221 | Gomez | Dec 2001 | B1 |
6334219 | Hill et al. | Dec 2001 | B1 |
6377552 | Moran et al. | Apr 2002 | B1 |
6385773 | Schwartzman et al. | May 2002 | B1 |
6389068 | Smith et al. | May 2002 | B1 |
6434583 | Dapper et al. | Aug 2002 | B1 |
6445734 | Chen et al. | Sep 2002 | B1 |
6456597 | Bare | Sep 2002 | B1 |
6459703 | Grimwood et al. | Oct 2002 | B1 |
6477197 | Unger | Nov 2002 | B1 |
6480469 | Moore et al. | Nov 2002 | B1 |
6483033 | Simoes et al. | Nov 2002 | B1 |
6498663 | Farhan et al. | Dec 2002 | B1 |
6512616 | Nishihara | Jan 2003 | B1 |
6526260 | Hick et al. | Feb 2003 | B1 |
6546557 | Ovadia | Apr 2003 | B1 |
6556239 | Al Araji et al. | Apr 2003 | B1 |
6556562 | Bhagavath et al. | Apr 2003 | B1 |
6556660 | Li et al. | Apr 2003 | B1 |
6559756 | Al Araji et al. | May 2003 | B2 |
6563868 | Zhang et al. | May 2003 | B1 |
6570394 | Williams | May 2003 | B1 |
6570913 | Chen | May 2003 | B1 |
6574797 | Naegeli et al. | Jun 2003 | B1 |
6588016 | Chen et al. | Jul 2003 | B1 |
6606351 | Dapper et al. | Aug 2003 | B1 |
6611795 | Cooper | Aug 2003 | B2 |
6646677 | Noro et al. | Nov 2003 | B2 |
6650698 | Liau et al. | Nov 2003 | B1 |
6662135 | Burns et al. | Dec 2003 | B1 |
6662368 | Cloonan et al. | Dec 2003 | B1 |
6671334 | Kuntz et al. | Dec 2003 | B1 |
6687632 | Rittman | Feb 2004 | B1 |
6690655 | Miner et al. | Feb 2004 | B1 |
6700875 | Schroeder et al. | Mar 2004 | B1 |
6700927 | Esliger et al. | Mar 2004 | B1 |
6711134 | Wichelman et al. | Mar 2004 | B1 |
6741947 | Wichelman et al. | May 2004 | B1 |
6748551 | Furudate et al. | Jun 2004 | B2 |
6757253 | Cooper et al. | Jun 2004 | B1 |
6772388 | Cooper et al. | Aug 2004 | B2 |
6772437 | Cooper et al. | Aug 2004 | B1 |
6775840 | Naegel et al. | Aug 2004 | B1 |
6816463 | Cooper et al. | Nov 2004 | B2 |
6839829 | Daruwalla et al. | Jan 2005 | B1 |
6853932 | Wichelman et al. | Feb 2005 | B1 |
6877166 | Roeck et al. | Apr 2005 | B1 |
6895043 | Naegeli et al. | May 2005 | B1 |
6895594 | Simoes et al. | May 2005 | B1 |
6906526 | Hart et al. | Jun 2005 | B2 |
6928475 | Schenkel et al. | Aug 2005 | B2 |
6944881 | Vogel | Sep 2005 | B1 |
6961314 | Quigley et al. | Nov 2005 | B1 |
6961370 | Chappell | Nov 2005 | B2 |
6967994 | Boer et al. | Nov 2005 | B2 |
6973141 | Isaksen et al. | Dec 2005 | B1 |
6985437 | Vogel | Jan 2006 | B1 |
6999408 | Gomez | Feb 2006 | B1 |
7002899 | Azenkot et al. | Feb 2006 | B2 |
7010002 | Chow et al. | Mar 2006 | B2 |
7017176 | Lee et al. | Mar 2006 | B1 |
7032159 | Lusky et al. | Apr 2006 | B2 |
7039939 | Millet et al. | May 2006 | B1 |
7050419 | Azenkot et al. | May 2006 | B2 |
7054554 | McNamara et al. | May 2006 | B1 |
7058007 | Daruwalla et al. | Jun 2006 | B1 |
7072365 | Ansley | Jul 2006 | B1 |
7079457 | Wakabayashi et al. | Jul 2006 | B2 |
7099412 | Coffey | Aug 2006 | B2 |
7099580 | Bulbul | Aug 2006 | B1 |
7139283 | Quigley et al. | Nov 2006 | B2 |
7142609 | Terreault et al. | Nov 2006 | B2 |
7152025 | Lusky et al. | Dec 2006 | B2 |
7158542 | Zeng et al. | Jan 2007 | B1 |
7164694 | Nodoushani et al. | Jan 2007 | B1 |
7177324 | Choudhury et al. | Feb 2007 | B1 |
7197067 | Lusky et al. | Mar 2007 | B2 |
7222255 | Claessens et al. | May 2007 | B1 |
7227863 | Leung et al. | Jun 2007 | B1 |
7242862 | Saunders et al. | Jul 2007 | B2 |
7246368 | Millet et al. | Jul 2007 | B1 |
7263123 | Yousef | Aug 2007 | B2 |
7274735 | Lusky et al. | Sep 2007 | B2 |
7295518 | Monk et al. | Nov 2007 | B1 |
7315573 | Lusky et al. | Jan 2008 | B2 |
7315967 | Azenko et al. | Jan 2008 | B2 |
7400677 | Jones | Jul 2008 | B2 |
7421276 | Steer et al. | Sep 2008 | B2 |
7451472 | Williams | Nov 2008 | B2 |
7492703 | Lusky et al. | Feb 2009 | B2 |
7554902 | Kim et al. | Jun 2009 | B2 |
7573884 | Klimker et al. | Aug 2009 | B2 |
7573935 | Min et al. | Aug 2009 | B2 |
7584298 | Klinker et al. | Sep 2009 | B2 |
7616654 | Moran et al. | Nov 2009 | B2 |
7650112 | Utsumi et al. | Jan 2010 | B2 |
7672310 | Cooper et al. | Mar 2010 | B2 |
7684315 | Beser | Mar 2010 | B1 |
7684341 | Howald | Mar 2010 | B2 |
7693090 | Kimpe | Apr 2010 | B1 |
7716712 | Booth et al. | May 2010 | B2 |
7739359 | Millet et al. | Jun 2010 | B1 |
7742697 | Cooper et al. | Jun 2010 | B2 |
7742771 | Thibeault | Jun 2010 | B2 |
7760624 | Goodson et al. | Jul 2010 | B1 |
7778314 | Wajcer et al. | Aug 2010 | B2 |
7787557 | Kim et al. | Aug 2010 | B2 |
7792183 | Massey et al. | Sep 2010 | B2 |
7856049 | Currivan et al. | Dec 2010 | B2 |
7876697 | Thompson et al. | Jan 2011 | B2 |
7953144 | Allen et al. | May 2011 | B2 |
7970010 | Denney et al. | Jun 2011 | B2 |
8000254 | Thompson et al. | Aug 2011 | B2 |
8037541 | Montague et al. | Oct 2011 | B2 |
8040915 | Cummings | Oct 2011 | B2 |
8059546 | Pai et al. | Nov 2011 | B2 |
8081674 | Thompson et al. | Dec 2011 | B2 |
8116360 | Thibeault | Feb 2012 | B2 |
8265559 | Cooper et al. | Sep 2012 | B2 |
8284828 | Cooper et al. | Oct 2012 | B2 |
8345557 | Thibeault et al. | Jan 2013 | B2 |
20010055319 | Quigley et al. | Dec 2001 | A1 |
20020038461 | White et al. | Mar 2002 | A1 |
20020044531 | Cooper et al. | Apr 2002 | A1 |
20020091970 | Furudate et al. | Jul 2002 | A1 |
20020116493 | Schenkel et al. | Aug 2002 | A1 |
20020154620 | Azenkot et al. | Oct 2002 | A1 |
20020168131 | Walter et al. | Nov 2002 | A1 |
20020181395 | Foster et al. | Dec 2002 | A1 |
20030028898 | Howald | Feb 2003 | A1 |
20030043732 | Walton et al. | Mar 2003 | A1 |
20030067883 | Azenkot et al. | Apr 2003 | A1 |
20030101463 | Greene et al. | May 2003 | A1 |
20030108052 | Inoue et al. | Jun 2003 | A1 |
20030120819 | Abramson et al. | Jun 2003 | A1 |
20030138250 | Glynn | Jul 2003 | A1 |
20030149991 | Reidhead et al. | Aug 2003 | A1 |
20030158940 | Leigh | Aug 2003 | A1 |
20030179768 | Lusky et al. | Sep 2003 | A1 |
20030179770 | Reznic et al. | Sep 2003 | A1 |
20030179821 | Lusky et al. | Sep 2003 | A1 |
20030181185 | Lusky et al. | Sep 2003 | A1 |
20030182664 | Lusky et al. | Sep 2003 | A1 |
20030185176 | Lusky et al. | Oct 2003 | A1 |
20030188254 | Lusky et al. | Oct 2003 | A1 |
20030200317 | Zeitak et al. | Oct 2003 | A1 |
20030212999 | Cai | Nov 2003 | A1 |
20040015765 | Cooper et al. | Jan 2004 | A1 |
20040042385 | Kim et al. | Mar 2004 | A1 |
20040047284 | Eidson | Mar 2004 | A1 |
20040052356 | McKinzie et al. | Mar 2004 | A1 |
20040062548 | Obeda et al. | Apr 2004 | A1 |
20040073937 | Williams | Apr 2004 | A1 |
20040096216 | Ito | May 2004 | A1 |
20040109661 | Bierman et al. | Jun 2004 | A1 |
20040139473 | Greene | Jul 2004 | A1 |
20040163129 | Chapman et al. | Aug 2004 | A1 |
20040181811 | Rakib | Sep 2004 | A1 |
20040208513 | Peddanarappagari et al. | Oct 2004 | A1 |
20040233234 | Chaudhry et al. | Nov 2004 | A1 |
20040233926 | Cummings | Nov 2004 | A1 |
20040248520 | Miyoshi | Dec 2004 | A1 |
20040261119 | Williams et al. | Dec 2004 | A1 |
20050010958 | Rakib et al. | Jan 2005 | A1 |
20050025145 | Rakib et al. | Feb 2005 | A1 |
20050034159 | Ophir et al. | Feb 2005 | A1 |
20050039103 | Azenko et al. | Feb 2005 | A1 |
20050058082 | Moran et al. | Mar 2005 | A1 |
20050064890 | Johan et al. | Mar 2005 | A1 |
20050097617 | Currivan et al. | May 2005 | A1 |
20050108763 | Baran et al. | May 2005 | A1 |
20050122996 | Azenkot et al. | Jun 2005 | A1 |
20050163088 | Yamano et al. | Jul 2005 | A1 |
20050175080 | Bouillett | Aug 2005 | A1 |
20050183130 | Sadja et al. | Aug 2005 | A1 |
20050198688 | Fong | Sep 2005 | A1 |
20050226161 | Jaworski | Oct 2005 | A1 |
20050281200 | Terreault | Dec 2005 | A1 |
20060013147 | Terpstra et al. | Jan 2006 | A1 |
20060121946 | Walton et al. | Jun 2006 | A1 |
20060250967 | Miller et al. | Nov 2006 | A1 |
20060262722 | Chapman et al. | Nov 2006 | A1 |
20070002752 | Thibeault et al. | Jan 2007 | A1 |
20070058542 | Thibeault | Mar 2007 | A1 |
20070076592 | Thibeault et al. | Apr 2007 | A1 |
20070076789 | Thibeault | Apr 2007 | A1 |
20070076790 | Thibeault et al. | Apr 2007 | A1 |
20070086328 | Kao et al. | Apr 2007 | A1 |
20070094691 | Gazdzinski | Apr 2007 | A1 |
20070097907 | Cummings | May 2007 | A1 |
20070133672 | Lee et al. | Jun 2007 | A1 |
20070143654 | Joyce et al. | Jun 2007 | A1 |
20070147489 | Sun et al. | Jun 2007 | A1 |
20070177526 | Siripunkaw et al. | Aug 2007 | A1 |
20070184835 | Bitran et al. | Aug 2007 | A1 |
20070189770 | Sucharczuk et al. | Aug 2007 | A1 |
20070206600 | Klimker et al. | Sep 2007 | A1 |
20070206625 | Maeda | Sep 2007 | A1 |
20070211618 | Cooper et al. | Sep 2007 | A1 |
20070223512 | Cooper | Sep 2007 | A1 |
20070223920 | Moore et al. | Sep 2007 | A1 |
20070245177 | Cooper et al. | Oct 2007 | A1 |
20080056713 | Cooper et al. | Mar 2008 | A1 |
20080062888 | Lusky et al. | Mar 2008 | A1 |
20080071516 | Cioffi et al. | Mar 2008 | A1 |
20080075157 | Allen et al. | Mar 2008 | A1 |
20080101210 | Thompson et al. | May 2008 | A1 |
20080125984 | Skendzic et al. | May 2008 | A1 |
20080140823 | Thompson et al. | Jun 2008 | A1 |
20080193137 | Thompson et al. | Aug 2008 | A1 |
20080200129 | Cooper et al. | Aug 2008 | A1 |
20080242339 | Anderson | Oct 2008 | A1 |
20080250508 | Montague et al. | Oct 2008 | A1 |
20080274700 | Li | Nov 2008 | A1 |
20080291840 | Cooper et al. | Nov 2008 | A1 |
20090003372 | Popper et al. | Jan 2009 | A1 |
20090031384 | Brooks et al. | Jan 2009 | A1 |
20090103557 | Hong et al. | Apr 2009 | A1 |
20090109877 | Murray et al. | Apr 2009 | A1 |
20090249421 | Liu et al. | Oct 2009 | A1 |
20090252234 | Samdani et al. | Oct 2009 | A1 |
20100083356 | Steckley et al. | Apr 2010 | A1 |
20100095360 | Pavlovski et al. | Apr 2010 | A1 |
20100154017 | An et al. | Jun 2010 | A1 |
20100157824 | Thompson et al. | Jun 2010 | A1 |
20100158093 | Thompson et al. | Jun 2010 | A1 |
20100185391 | Lee et al. | Jul 2010 | A1 |
20100223650 | Millet et al. | Sep 2010 | A1 |
20100251320 | Shafer et al. | Sep 2010 | A1 |
20110007788 | Cendrillon et al. | Jan 2011 | A1 |
20110026577 | Primo et al. | Feb 2011 | A1 |
20110030019 | Ulm et al. | Feb 2011 | A1 |
20110069745 | Thompson et al. | Mar 2011 | A1 |
20110072127 | Gerber et al. | Mar 2011 | A1 |
20110110415 | Cooper et al. | May 2011 | A1 |
20110153683 | Hoskinson | Jun 2011 | A1 |
20110194418 | Wolcott et al. | Aug 2011 | A1 |
20110194597 | Wolcott et al. | Aug 2011 | A1 |
20110197071 | Wolcott et al. | Aug 2011 | A1 |
20110243214 | Wolcott et al. | Oct 2011 | A1 |
20120054312 | Salinger | Mar 2012 | A1 |
20120084416 | Thibeault et al. | Apr 2012 | A1 |
20120147751 | Ulm | Jun 2012 | A1 |
Number | Date | Country |
---|---|---|
0905998 | Mar 1999 | EP |
1235402 | Aug 2002 | EP |
1341335 | Sep 2003 | EP |
1956782 | Aug 2008 | EP |
55132161 | Oct 1980 | JP |
04208707 | Jul 1992 | JP |
6120896 | Apr 1994 | JP |
6177840 | Jun 1994 | JP |
09008738 | Jan 1997 | JP |
9162816 | Jun 1997 | JP |
10247893 | Sep 1998 | JP |
11230857 | Aug 1999 | JP |
2001044956 | Feb 2001 | JP |
2003530761 | Oct 2003 | JP |
2004172783 | Jun 2004 | JP |
2004343678 | Dec 2004 | JP |
0192901 | Jun 2001 | WO |
0233974 | Apr 2002 | WO |
2004062124 | Jul 2004 | WO |
2007046876 | Apr 2007 | WO |
2009146426 | Dec 2009 | WO |
Entry |
---|
Popper, Ambroise et al, “An Advanced Receiver with Interference Cancellation for Broadband Cable Networks”, Juniper Networks, International Zurich Seminar on Broadband Communications Access 2002, pp. 23-1-23-6. |
Popper, Ambroise et al, Ingress Noise Cancellation for the Upstream Channel in Broadband Cable Access Systems, Juniper Networks, IEEE International Conference on Communications 2002, vol. 3, pp. 1808-1812. |
Cable Television Laboratories Inc., “Proactive Network Maintenance Using Pre-Equalization”, DOCSIS Best Practices and Guidelines, CM-GL-PNMP-V01-100415, Apr. 15, 2010. |
Cable Television Laboratories, Inc., “A Simple Algorithm for Fault Localization Using Naming Convention and Micro-reflection Signature,” Invention Disclosure 60193, 2 pages, Jun. 2008. |
Cable Television Laboratories, Inc., “Data-Over-Cable Service Interface Specifications DOCSIS 3.0: MAC and Upper Layer Protocols Interface,” CM-SP-MULPIv3.0-I16-110623, section 8, pp. 242-266, Jun. 2011. |
Cable Television Laboratories, Inc., “Data-Over-Cable Service Interface Specifications DOCSIS® 3.0—MAC and Upper Layer Protocols Interface Specification,” CM-SP-MULPIv3.0-I17-111117, Nov. 2011. |
Cable Television Laboratories, Inc., “Pre-Equalization Based Pro-active Network Maintenance Process Model for CMs Transmitting on Multiple Upstream Channels,” Invention Disclosure 60203, 2 pages, May 2009. |
Cable Television Laboratories, Inc., “Pre-Equalization based pro-active network maintenance process model”, Invention Disclosure 60177, 2 pages, Jun. 2008. |
Cable Television Laboratories, Inc., “DOCSIS® Best Practices and Guidelines: Proactive Network Maintenance Using Pre-equalization,” CM-GL-PNMP-V02-110623, Jun. 2011. |
Cable Television Laboratories, Inc., “Data-Over-Cable Service Interface Specifications: DOCSIS 2.0 Radio Frequency Interface Specification,” CM-SP-RFIv2.0-I06-040804, Apr. 2004. |
L.A. Campos, et al., “Pre-equalization based Pro-active Network Maintenance Methodology”, Cable Television Laboratories, Inc., presentation, 32 pages, 2008. |
R.L. Howald, et al., “Customized Broadband—Analysis Techniques for Blended Multiplexes,” NCTA Technical Papers, 2002. |
R. Howald, “Access Networks Solutions: Introduction to S-CDMA,” Presentation to Society of Cable Telecommunications Engineers (SCTE) South Florida Chapter, 2009. |
R. Howald, “Upstream Snapshots & Indicators (2009),” Regional Samples, Presentation to Society of Cable Telecommunications Engineers (SCTE) South Florida Chapter, Jan. 2010. |
R.L. Howald et al., “Characterizing and Aligning the HFC Return Path for Successful DOCSIS 3.0 Rollouts”, SCTE Cable-Tec Expo, Oct. 2009. |
R. Howald, et al., “DOCSIS 3.0 Upstream: Readiness & Qualification,” SCTE Cable-Tec Expo, Oct. 2009. |
R. Howald, et al., “The Grown-Up Potential of a Teenage PHY”, NCTA Convention and Exposition, May 2012. |
R. Howald, “DOCSIS 3.0 Upstream: Technology, RF Variables & Case Studies,” Access Networks Solutions, 2009, presentation to Society of Cable Telecommunications Engineers (SCTE) South Florida Chapter, 23 pages, Jan. 2010. |
R. Hranac, “Linear Distortions, Part 1,” Communication Technology, Jul. 2005. |
X. Liu, et al., “Variable Bit Rate Video Services in DOCSIS 3.0 Networks,” NCTA Technical Papers, 2008. |
Motorola, Inc., “White Paper: Expanding Bandwidth Using Advanced Spectrum Management,” Sep. 25, 2003. |
H. Newton, Newton's Telecom Dictionary, Flatiron Publishing, 9th ed., pp. 216 and 1023 (definitions of “carrier to noise ratio” and “signal to noise ratio”), Sep. 1995. |
M. Patrick, et al., “Delivering Economical IP Video over DOCSIS by Bypassing the M-CMTS with DIBA,” SCTE 2007 Emerging Technologies, NCTA Technical Papers, 2007. |
S.U.H. Qureshi, “Adaptive Equalization,” Proceedings of the IEEE, vol. 73, No. 9, pp. 1349-1387, Sep. 1985. |
S. Ramakrishnan, “Scaling the DOCSIS Network for IPTV,” SCTE Conference on Emerging Technologies, NCTA Cable Show, Apr. 2009. |
Y.R. Shelke, “Knowledge Based Topology Discovery and Geo-localization”, Thesis, Master of Science, Ohio State University, 2010. |
R. Thompson, et al., “256-QAM for Upstream HFC,” NCTA 2010 Spring Technical Forum Proceedings, pp. 142-152, May 2010. |
R. Thompson, et al., “256-QAM for Upstream HFC Part Two”, SCTE Cable-Tec Expo 2011, Technical Paper, Nov. 2011. |
R. Thompson, et al., “Multiple Access Made Easy,” SCTE Cable-Tec Expo 2011, Technical Paper, Nov. 2011. |
R. Thompson, et al., “Optimizing Upstream Throughput Using Equalization Coefficient Analysis”, National Cable & Telecommunications Association (NCTA) Technical Papers, Apr. 2009. |
R. Thompson, et al., “Practical Considerations for Migrating the Network Toward All-Digital”, Society of Cable Telecommunications Engineers (SCTE) Cable-Tec Expo, Oct. 2009. |
R. Thompson, et al., “64-QAM, 6.4MHz Upstream Deployment Challenges,” SCTE Canadian Summit, Toronto, Canada, Technical Paper, Mar. 2011. |
B. Volpe, et al., “Cable-Tec Expo 2011: Advanced Troubleshooting in a DOCSIS © 3.0 Plant,” Nov. 2011. |
L. Wolcott, “Modem Signal Usage and Fault Isolation,” U.S. Appl. No. 61/301,835, filed Feb. 5, 2010. |
F. Zhao, et al., “Techniques for minimizing error propagation in decision feedback detectors for recording channels,” IEEE Transactions on Magnetics, vol. 37, No. 1, pp. 592-602, Jan. 2001. |
Y. Morishita, et al., “An LMS adaptive equalizer using threshold in impulse noise environments”, IEEE, ICT 2003 10th International Conference on Telecommunications, vol. 1, pp. 578-582, Feb. 2003. |
PCT Search Report & Written Opinion, Re: Application #PCT/US2012/049685, Mar. 1, 2013. |
Number | Date | Country | |
---|---|---|---|
20130051442 A1 | Feb 2013 | US |