NDLI: Spectral gap filling in cognitive networks: A cooperative game-theoretic approach

Content Provider	IEEE Xplore Digital Library
Author	Chungang Yang Jiandong Li
Copyright Year	2010
Description	Author affiliation: The State Key Lab. of ISN, Xidian University, Xi'an Shaanxi, 710071 China (Chungang Yang; Jiandong Li)
Abstract	An optimal joint channel selection and power control scheme is investigated in a cognitive network context, where the cognitive network is composed by multiple cognitive interference channels. Here, we take the fairness among multiple secondary users (SUs) and Pareto optimality measured by the capacity maximization into consideration. The complex cooperation and competition relationship among multiple SUs and primary users (PUs) is described with the refined signal-to-interference plus noise (SINR) definition. According to the Nash axioms from the Nash bargaining cooperative game, the newly built utility function is formulated, and the spectral gap-filling problem is formulated as cognitive capacity Nash product maximization (CCNPM). To improve the centralized algorithm design in in the cooperative game theory framework, we employ the dual decomposition technique to achieve the distributed bargaining approaches. The proposed approaches are with low implementation complexities and the little information exchange.
Starting Page	1
Ending Page	6
File Size	220794
Page Count	6
File Format	PDF
e-ISBN	9780984589333
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Algorithm design and analysis Decomposition technique Power control Games Interference Network Utility Maximization Nash equilibrium Cognitive network capacity Resource management Cooperative game theory Signal to noise ratio
Content Type	Text
Resource Type	Article

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