Title: | Network Selection in Cognitive Heterogeneous Networks Using Stochastic Learning |
Authors: | 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 |
Keywords: | Heterogeneous networks;cognitive radio;self-organized network selection;stochastic learning |
Issue Date: | 1-Dec-2013 |
Abstract: | 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 |
Journal: | IEEE COMMUNICATIONS LETTERS |
Volume: | 17 |
Issue: | 12 |
Begin Page: | 2304 |
End Page: | 2307 |
Appears in Collections: | Articles |
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