Learning to be energy-efficient in cooperative networks

Tian, Daxin, Zhou, Jianshan, Sheng, Zhengguo and Ni, Qiang (2016) Learning to be energy-efficient in cooperative networks. IEEE Communications Letters, 20 (12). pp. 2518-2521. ISSN 1089-7798

[img] PDF - Accepted Version
Download (278kB)


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.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User: Zhengguo Sheng
Date Deposited: 19 Sep 2016 10:38
Last Modified: 07 Mar 2017 20:54
URI: http://srodev.sussex.ac.uk/id/eprint/63402

View download statistics for this item

📧 Request an update