کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
446238 | 1443168 | 2013 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A stochastic game framework for joint frequency and power allocation in dynamic decentralized cognitive radio networks A stochastic game framework for joint frequency and power allocation in dynamic decentralized cognitive radio networks](/preview/png/446238.png)
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.
Journal: AEU - International Journal of Electronics and Communications - Volume 67, Issue 10, October 2013, Pages 817–826