DocumentCode :
3470959
Title :
Downlink resource allocation for multi-user MIMO-OFDMA systems: The Kalai-Smorodinsky bargaining approach
Author :
Chen, Jie ; Swindlehurst, A. Lee
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA, USA
fYear :
2009
fDate :
13-16 Dec. 2009
Firstpage :
380
Lastpage :
383
Abstract :
Multi-user MIMO-OFDMA is regarded as an important technology for increasing the flexibility and efficiency of wireless communication systems. A well-behaved resource allocation strategy is crucial for the performance of such systems. In this paper, we study the allocation problem from a cooperative game theory perspective and present two algorithms to find the Kalai-Smorodinsky bargaining solution to the problem. Simulation results show that the algorithms can achieve a reasonable tradeoff between fairness and efficiency.
Keywords :
MIMO communication; OFDM modulation; frequency division multiple access; game theory; resource allocation; Kalai-Smorodinsky bargaining approach; cooperative game theory; downlink resource allocation; multiuser MIMO-OFDMA systems; wireless communication systems; Conferences; Downlink; Feedback; Game theory; MIMO; Receiving antennas; Resource management; Testing; USA Councils; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
Conference_Location :
Aruba, Dutch Antilles
Print_ISBN :
978-1-4244-5179-1
Electronic_ISBN :
978-1-4244-5180-7
Type :
conf
DOI :
10.1109/CAMSAP.2009.5413250
Filename :
5413250
Link To Document :
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