DocumentCode :
2006851
Title :
Multiple Description Coding-Based Optimal Resource Allocation for OFDMA Multicast Service
Author :
Ma, Yao ; Letaief, Khaled ; Wang, Zhengdao ; Murch, Ross ; Wu, Zhiqiang
Author_Institution :
Dept. of EE, Wright State Univ, Dayton, OH, USA
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The resource allocation optimization for multicast service in orthogonal frequency division multiple access (OFDMA) systems is an important research topic. It is known that in traditional multicast schemes the rate in each multicast group is severely limited by the user who has the minimum channel gain (MCG) on each subchannel. To counteract this effect, in this paper, we introduce the multiple description coding (MDC) into the multiple-group multicast service optimization for the downlink OFDMA, and study the weighted sum rate (WSR) maximization methods under various system constraints and assuming discrete-rate modulation. Simulation results show that the proposed method provides a significant performance enhancement than the MCG scheme and an MDC-based near-optimal iterative bit loading (IBL) approach. Besides this, our method converges very fast and enjoys a low complexity that is linear in the numbers of users, subchannels, and modulation bit levels.
Keywords :
OFDM modulation; channel coding; frequency division multiple access; iterative methods; multicast communication; optimisation; resource allocation; IBL approach; MDC; MDC-based near-optimal iterative bit loading approach; OFDMA multicast service; WSR maximization; discrete-rate modulation; minimum channel gain; multiple description coding; multiple-group multicast service optimization; orthogonal frequency division multiple access; resource allocation optimization; weighted sum rate maximization method; Algorithm design and analysis; Complexity theory; Downlink; Modulation; Optimization; Resource management; Unicast;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5684356
Filename :
5684356
Link To Document :
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