Game_cooperative_CL.pdf (272.32 kB)
Learning to be energy-efficient in cooperative networks
journal contribution
posted on 2023-06-09, 02:57 authored by Daxin Tian, Jianshan Zhou, Zhengguo ShengZhengguo Sheng, Qiang NiCooperative 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 LettersISSN
1089-7798Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
12Volume
20Page range
2518-2521Department affiliated with
- Engineering and Design Publications
Full text available
- Yes
Peer reviewed?
- Yes