Game Theory for Wireless Engineers (Synthesis Lectures on Communications)
Game Theory for Wireless Engineers (Synthesis Lectures on Communications)
Repeated open spectrum sharing game with cheat-proof strategies
IEEE Transactions on Wireless Communications
IEEE Transactions on Communications
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview
IEEE Communications Magazine
Spectrum sharing for unlicensed bands
IEEE Journal on Selected Areas in Communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
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In this paper, we consider the channel allocation for selfish secondary user (SU) in cognitive radio networks. In general, there are two allocation approaches for our scenario. The user-centric allocation approach aims to maximize the revenues of individual SUs and the system-centric allocation approach attempts to maximize the system revenue. In this paper, we focus on the joint user-centric and system-centric allocation approach and aim to investigate two fundamental issues below: 1) Is there an allocation profile which maximizes the revenues of the SU sand the system? 2) How to achieve this desirable allocation if it exists? We use the game theory approach to investigate these issues. We model the problem of the channel allocation as an ordinal potential game and prove the existence of the desirable allocation profile. Furthermore, we propose a simple protocol to achieve it. Finally, considering the practical issues, we propose a self-enforcing truth-telling method and a Best Response Based algorithm which uses only local information.