DocumentCode :
699487
Title :
Adaptive resource allocation in multiuser FDD-DMT systems
Author :
Statovci, Driton ; Nordstrom, Tomas
Author_Institution :
Telecommun. Res. Center Vienna, Vienna, Austria
fYear :
2004
fDate :
6-10 Sept. 2004
Firstpage :
1213
Lastpage :
1216
Abstract :
The performance of multiuser digital subscriber line (DSL) systems is constrained by crosstalk noise. This becomes especially noticeable in DSL systems that use high frequencies as in very high speed DSL (VDSL), since the crosstalk increases with frequency. To minimize the performance losses due to the crosstalk the users should coordinate and optimize their spectra with the aim of jointly maximizing the bit rates of all users. However, the multiuser DSL environment is modelled as a Gaussian interference channel and the rate region for this channel model is still an unsolved problem in information theory. This problem, for multiuser frequency division duplex discrete multi-tone (FDD-DMT) systems, is solved in a suboptimal way by our proposed Normalized-Rate Iterative Algorithm (NRIA). The NRIA determines optimized down- and upstream subcarrier allocations for the bundle and implicitly performs power control and power allocation for all users. In this paper we show, by simulation, that this algorithm achieves a significant performance improvement over existing standardized upstream power back-off (UPBO) and spectra plans in VDSL.
Keywords :
Gaussian channels; crosstalk; digital subscriber lines; frequency division multiplexing; iterative methods; radiofrequency interference; resource allocation; Gaussian interference channel; NRIA; UPBO; adaptive resource allocation; crosstalk noise; information theory; multiuser FDD-DMT system; multiuser digital subscriber line system; multiuser frequency division duplex discrete multitone system; normalized-rate iterative algorithm; upstream power back-off; very high speed DSL; Abstracts;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
Type :
conf
Filename :
7080017
Link To Document :
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