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