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Learning to be energy-efficient in cooperative networks

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journal contribution
posted on 2023-06-09, 02:57 authored by Daxin Tian, Jianshan Zhou, Zhengguo ShengZhengguo Sheng, Qiang Ni
Cooperative communication has great potential to improve the transmit diversity in multiple users environments. To achieve a high network-wide energy-efficient performance, this letter poses the relay selection problem of cooperative communication as a noncooperative automata game considering nodes’ selfishness, proving that it is an ordinal game (OPG), and presents a game-theoretic analysis to address the benefit equilibrium decision-making issue in relay selection. A stochastic learning-based relay selection algorithm is proposed for transmitters to learn a Nash-equilibrium strategy in a distributed manner. We prove through theoretical and numerical analysis that the proposed algorithm is guaranteed to converge to a Nash equilibrium state, where the resulting cooperative network is energy-efficient and reliable. The strength of the proposed algorithm is also confirmed through comparative simulations in terms of energy benefit and fairness performances.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE Communications Letters

ISSN

1089-7798

Publisher

Institute of Electrical and Electronics Engineers

Issue

12

Volume

20

Page range

2518-2521

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2016-09-19

First Open Access (FOA) Date

2016-09-19

First Compliant Deposit (FCD) Date

2016-09-19

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