NDLI: Relay selection and discrete power control in cognitive relay networks using learning automata

Content Provider	IEEE Xplore Digital Library
Author	Wei Zhong Gang Chen Shi Jin
Copyright Year	2013
Description	Author affiliation: Southeast Univ., Nanjing, China (Shi Jin) \|\| Nanjing Inst. of Commun. Eng., PLAUST, Nanjing, China (Wei Zhong; Gang Chen)
Abstract	This paper investigates the joint relay selection and discrete power control in cognitive relay networks through a game theoretic approach. Using the rate of cognitive relay network as the common utility, we firstly formulate the problem of the joint relay selection and discrete power control as a noncooperative game. Then, we prove that the proposed game is a potential game which possess at least one pure strategy Nash equilibrium (NE) and the optimal strategy profile which maximizes the rate of the cognitive relay network constitutes a pure strategy NE of our proposed game. We prove that, under mild conditions, our proposed game can guarantee the feasibility of the pure strategy NE without the advance knowledge of the infeasible strategy profiles. Then we design a decentralized stochastic learning algorithm based on learning automata and prove that the proposed algorithm can converge to a pure strategy NE. Numerical results show that our proposed algorithm has good convergence and promising performance.
Sponsorship	IEEE Commun. Soc.
Starting Page	4080
Ending Page	4085
File Size	402782
Page Count	6
File Format	PDF
ISBN	9781479913534
DOI	10.1109/GLOCOM.2013.6831712
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Games Power control Interference Learning automata Algorithm design and analysis
Content Type	Text
Resource Type	Article

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