Coordination and Bargaining over the Gaussian Interference Channel

Details Coordination and Bargaining over the Gaussian Interference Channel Coordination and Bargaining over the Gaussian Interference Channel

2010-05-08

arxiv.org/abs/1005.1339v1

Computer Science

Information Theory

5 pages, 4 figures, to appear in Proceedings of IEEE ISIT2010

Scientific paper

This work considers coordination and bargaining between two selfish users over a Gaussian interference channel using game theory. The usual information theoretic approach assumes full cooperation among users for codebook and rate selection. In the scenario investigated here, each selfish user is willing to coordinate its actions only when an incentive exists and benefits of cooperation are fairly allocated. To improve communication rates, the two users are allowed to negotiate for the use of a simple Han-Kobayashi type scheme with fixed power split and conditions for which users have incentives to cooperate are identified. The Nash bargaining solution (NBS) is used as a tool to get fair information rates. The operating point is obtained as a result of an optimization problem and compared with a TDM-based one in the literature.

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