標題: Network Selection in Cognitive Heterogeneous Networks Using Stochastic Learning
作者: Tseng, Li-Chuan
Chien, Feng-Tsun
Zhang, Daqiang
Chang, Ronald Y.
Chung, Wei-Ho
Huang, ChingYao
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Heterogeneous networks;cognitive radio;self-organized network selection;stochastic learning
公開日期: 1-十二月-2013
摘要: Coexistence of multiple radio access technologies (RATs) is a promising paradigm to improve spectral efficiency. This letter presents a game-theoretic network selection scheme in a cognitive heterogeneous networking environment with time-varying channel availability. We formulate the network selection problem as a noncooperative game with secondary users (SUs) as the players, and show that the game is an ordinal potential game (OPG). A decentralized, stochastic learning-based algorithm is proposed where each SU's strategy progressively evolves toward the Nash equilibrium (NE) based on its own action-reward history, without the need to know actions in other SUs. The convergence properties of the proposed algorithm toward an NE point are theoretically and numerically verified. The proposed algorithm demonstrates good throughput and fairness performances in various network scenarios.
URI: http://dx.doi.org/10.1109/LCOMM.2013.102113.131876
http://hdl.handle.net/11536/23430
ISSN: 1089-7798
DOI: 10.1109/LCOMM.2013.102113.131876
期刊: IEEE COMMUNICATIONS LETTERS
Volume: 17
Issue: 12
起始頁: 2304
結束頁: 2307
顯示於類別:期刊論文


文件中的檔案:

  1. 000329528200025.pdf