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A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks

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Machine Learning and Intelligent Communications (MLICOM 2017)

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.

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Correspondence to Yanguo Zhou .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhou, Y., Zhang, H., Chen, R., Zhou, T. (2018). A Two-Layered Game Approach Based Relay’s Source Selection and Power Control for Wireless Cooperative Networks. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_38

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

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