Cognitive radio networks: Game modeling and self-organization using stochastic learning

Chen Hao Lin, Li Chuan Tseng, Ching-Yao Huang

研究成果: Conference contribution同行評審

摘要

Due to the high demand of spectrum utilization, cognitive radio (CR) network has been a promising solution to the problem of spectrum scarcity by using dynamic spectrum access technique. In this paper, we study one of the CR network architectures where the CR base stations (CRBSs) demand spectrum resources for the CR users to directly access and utilize. We applied an economical Cournot Game model to the system where the CRBSs are the players in this game. In order to optimize the game, we propose a stochastic learning (SL) based scheme for the CRBSs to adjust the demand amount of resources based on the action-reward history. Numerical results show the convergence toward a Nash Equilibrium (NE) point, and the system performs well in terms of the total utility comparing with other schemes.

原文English
主出版物標題2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
頁面3006-3010
頁數5
DOIs
出版狀態Published - 2013
事件2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom
持續時間: 8 9月 201311 9月 2013

出版系列

名字IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
國家/地區United Kingdom
城市London
期間8/09/1311/09/13

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