Abstract
In digital subscriber line (DSL) system, crosstalk created by electromagnetic interference among twisted pairs degrades the system performance. Very high bit rate DSL (VDSL), utilizes higher bandwidth of copper cable for data transmission. In upstream data transmission, a ‘Near–Far’ problem occurs in VDSL system. In this problem the far end crosstalk is produced from near end user degrades the data rate achieved at the far end user. Several dynamic spectrum management (DSM) algorithms were proposed in literature to remove this problem. In this paper, a new distributed DSM algorithm is proposed in which power from only those subcarriers of near end user are reduced which create interference to far end user. This power back off strategy takes place with the help of power spectral density masks at those interference creating subcarriers of near end user. The results after simulating the low complex proposed algorithm show an improvement in terms of data rate and approaches near the rate of highly complex optimal spectrum balancing algorithm.
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References
Zeng, C., Aldana, C., Salvekar, A. A., & Cioffi, J. M. (2001). Crosstalk identification in xDSL systems. IEEE Journal on Selected Areas Communication, 19, 1488–1496.
Jakovljevi’c, M., Statovci, D., Nordstr̈om, T., Nilsson, R., & Zazo, S. (2007). VDSL power back-off parameter optimization for a cable bundle. 15th European Signal Processing Conference (EUSIPCO 2007), Poznan, Poland, September 3–7, pp. 550–554.
Gao, Y., Li, Y., Liu, X., & Zou, T. (2013). Weighted power discrete bit-loading in upstream VDSL. IEEE/CIC International Conference on Communications in China (ICCC), Xi’an, P. R. China. August 12–14.
Mehmood, H., Kerpez, K., & Cioffi, J. M. (2013). Enhanced upstream power back-off for VDSL lines. In Selected Areas in Communications Symposium, IEEE ICC, pp. 3996–4001.
Cendrillon, R., Yu, W., Moonen, M., Verlinden, J., & Bostoen, T. (2006). Optimal multiuser spectrum balancing for digital subscriber lines. IEEE Transaction Communication, 54, 922–933.
Papandriopoulos, J., & Evans, J. S. (2009). Scale: A low-complexity distributed protocol for spectrum balancing in multiuser DSL networks. IEEE Transaction on Information Theory, 55, 3711–3724.
Yu, W., Ginis, G., & Cioffi, J. M. (2002). Disributed multiuser power control for digital subscriber lines. IEEE Journal on Selected Areas Communication, 20, 1105–1115.
Schelstraete, S. (2002). Defining upstream power back off for VDSL. IEEE Journal on Selected Areas in Communications, 20, 1064–1074.
Ginis, G., & Cioffi, J. M. (2002). Vectored transmission for digital subscriber line systems. IEEE Journal on Selected Areas in Communications, 20, 1085–1104.
Jacobsen, K. S. (2001). Methods of upstream power back off on very high speed digital subscriber lines. IEEE Communication Magazine, 39, 210–216.
Statovci, D., Nordström, T., & Nilsson, R. (2006). The normalized-rate iterative algorithm: A practical dynamic spectrum management method for DSL. EURASIP Journal on Applied Signal Processing, 1–17. doi:10.1155/ASP/2006/95175.
Biyani, P., Mahadevan, A., Prakriya, S., Duvaut, P., & Prasad, S. (2013). Co-operative alien noise cancellation in upstream VDSL: A new decision directed approach. IEEE Transactions on Communications, 61, 3494–3504.
Chen, M., Rhee, W., Mohseni, M., & Cioffi, J. M. (2012). Distributed crosstalk management for upstream VDSL using dynamic power control. IEEE Transactions on Communications, 60, 940–945.
Huberman, S., Leung, C., & Ngoc, T. L. (2012). Dynamic spectrum management (DSM) algorithms for multi-user xDSL. IEEE Communication Surveys & Tutorials, 14, 109–130.
Noam, Y., & Leshem, A. (2009). Iterative power pricing for distributed spectrum coordination in DSL. IEEE Transaction Communication, 57, 948–953.
Su, Y., & Schaar, M. (2009). A new perspective on multi-user power control games in interference channels. IEEE Transactions on Wireless Communications, 8, 2910–2919.
Tsiaflakis, P., Diehl, M., & Moonen, M. (2008). Distributed spectrum management algorithms for multiuser DSL networks. IEEE Transaction on Signal Processing, 56, 4825–4843.
Moraes, R. B., Dortschy, B., Klautau, A., & Riu, J. R. I. (2010). Semi-blind spectrum balancing for DSL. IEEE Transactions on Signal Processing, 58, 3717–3726.
Xu, Y., Le-Ngoc, T., & Panigrahi, S. (2008). Global concave minimization for optimal spectrum balancing in multi-user DSL networks. IEEE Transaction on Signal Processing, 56, 2875–2885.
Cendrillon, R., Huang, J. W., Chiang, M., & Moonen, M. (2007). Autonomous spectrum balancing for digital subscriber lines. IEEE Transaction on Signal Processing, 55, 4241–4257.
Liu, Y. S., & Su, Z. S. (2007). Distributed dynamic spectrum management for digital subscriber lines. IEICE Transaction on Communication, E90–B, 491–498.
Cendrillon, R., Yu, W., Moonen, M., Verlinden, J., & Bostoen, T. (2005). Optimal multiuser spectrum management for digital subscriber lines. IEEE Transaction on Communication, 54, 922–933.
ETSI (2003). Transmission and multiplexing (TM); access transmission systems on metallic access cables; very high speed digital subscriber line (VDSL); part 1: Functional requirements. ETSI Std. TS 101 270–1, vol. Rev. V1.3.1.
Starr, T., Sorbara, M., Cioffi, J. M., & Silverman, P. J. (2003). DSL advances. Englewood Cliffs NJ: Prentice-Hall.
Specification of the Access Network Frequency Plan applicable to transmission systems connected to the BT Access Network, UK NICC ND 1602 (2011-09).
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Sharma, S., Sahu, O.P. A Modified Low Complexity Based Distributed Iterative Water-Filling (IWF) Spectrum Management Algorithm. Wireless Pers Commun 82, 1239–1247 (2015). https://doi.org/10.1007/s11277-015-2278-5
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DOI: https://doi.org/10.1007/s11277-015-2278-5