Research Article
A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks
@INPROCEEDINGS{10.1007/978-3-319-73447-7_38, author={Yanguo Zhou and Hailin Zhang and Ruirui Chen and Tao Zhou}, title={A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Power control Relay’s source selection Evolutionary game Two-layered game Distributed algorithm}, doi={10.1007/978-3-319-73447-7_38} }- Yanguo Zhou
Hailin Zhang
Ruirui Chen
Tao Zhou
Year: 2018
A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_38
Abstract
Cooperative relay communication has become a promising technology to extend the network coverage and enhance the system performance. To avoid the interference among the relays assisted the same source and maximize the relay utility in multisource multirelay networks, we propose the two-layered game based distributed algorithm, which jointly considers power control and the relay’s source selection. Power control and relay’s source selection are formulated as a general non-cooperative game and an evolutionary game, respectively. By using the alternate iterations between the non-cooperative game and the evolutionary game, the proposed distributed algorithm can effectively suppress the interference and choose the optimal source. Simulation results are presented to analyze the performance of the proposed distributed algorithm.
