A stochastic game framework for joint frequency and power allocation in dynamic decentralized cognitive radio networks

作者：Liu Xiu; Ding Guoru^*; Yang Yang; Wu Qihui; Wang Jinlong

来源：AEU-International Journal of Electronics and Communications, 2013, 67(10): 817-826.

DOI：10.1016/j.aeue.2013.04.002

• Cognitive radio networks
• Frequency allocation
• Power control
• Stochastic game
• Multi-agent learning

Cognitive radio networks (CRNs) have been recognized as a promising solution to improve the radio spectrum utilization. This article investigates a novel issue of joint frequency and power allocation in decentralized CRNs with dynamic or time-varying spectrum resources. We firstly model the interactions between decentralized cognitive radio links as a stochastic game and then proposed a strategy learning algorithm which effectively integrates multi-agent frequency strategy learning and power pricing. The convergence of the proposed algorithm to Nash equilibrium is proofed theoretically. Simulation results demonstrate that the throughput performance of the proposed algorithm is very close to that of the centralized optimal learning algorithm, while the proposed algorithm could be implemented distributively and reduce information exchanges significantly.

• 出版日期2013
• 单位中国人民解放军陆军工程大学