DocumentCode
2442451
Title
An efficient channel condition aware proportional fairness ressource allocation for powerline communications
Author
Maiga, Ali ; Baudais, Jean-Yves ; Hélard, Jean-François
Author_Institution
Inst. of Electron. & Telecommun. of Rennes, Rennes, France
fYear
2009
fDate
25-27 May 2009
Firstpage
286
Lastpage
291
Abstract
Powerline communications (PLC) become a viable local area network (LAN) solution for in-home networks. We are witnessing a growing number of in-home devices and services using PLC systems. In this paper, the resource allocation problem with peak BER constraint is investigated in multiuser context. A new proportional fairness resource allocation algorithm which takes into account the channel conditions is proposed for the downlink. This algorithm is based on linear precoded OFDM (LP-OFDM) which enables reliable high bit rate transmission under peak BER constraint. The algorithm tries to maximize the overall throughput of the system under different users required bit rate constraints. Simulations are run over PLC channels and it is shown that proposed algorithms under peak BER constraint give better performance than classical proportional fairness algorithms. In addition, the linear precoding technique brings significant data rate gain and reduces the number of unsatisfied users.
Keywords
OFDM modulation; bandwidth allocation; carrier transmission on power lines; error statistics; local area networks; precoding; resource allocation; telecommunication channels; LAN; PLC; channel condition aware; fairness resource allocation; high bit rate transmission reliability; in-home networks; linear precoded OFDM; local area network; powerline communications; Application software; Bit error rate; Bit rate; Context; Downlink; Local area networks; OFDM; Programmable control; Resource management; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications, 2009. ICT '09. International Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4244-2936-3
Electronic_ISBN
978-1-4244-2937-0
Type
conf
DOI
10.1109/ICTEL.2009.5158660
Filename
5158660
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