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Game Theory Based Radio Resource Allocation for Full-Duplex Systems

Al-Imari, M, Ghoraishi, M, Xiao, P and Tafazolli, R (2015) Game Theory Based Radio Resource Allocation for Full-Duplex Systems In: IEEE VTC'spring 2015, 2015-05-11 - 2015-05-14, Glasgow, Scotland.

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Full-duplex transceivers enable transmission and reception at the same time on the same frequency, and have the potential to double the wireless system spectral efficiency. Recent studies have shown the feasibility of full-duplex transceivers. In this paper, we address the radio resource allocation problem for full-duplex system. Due to the self-interference and inter-user interference, the problem is coupled between uplink and downlink channels, and can be formulated as joint uplink and downlink sum-rate maximization. As the problem is non-convex, an iterative algorithm is proposed based on game theory by modelling the problem as a noncooperative game between the uplink and downlink channels. The algorithm iteratively carries out optimal uplink and downlink resource allocation until a Nash equilibrium is achieved. Simulation results show that the algorithm achieves fast convergence, and can significantly improve the full-duplex performance comparing to the equal resource allocation approach. Furthermore, the full-duplex system with the proposed algorithm can achieve considerable gains in spectral efficiency, that reach up to 40%, comparing to half-duplex system.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
Al-Imari, M
Ghoraishi, M
Xiao, P
Tafazolli, R
Date : 14 May 2015
DOI : 10.1109/VTCSpring.2015.7145850
Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Depositing User : Symplectic Elements
Date Deposited : 19 Aug 2015 13:01
Last Modified : 31 Oct 2017 17:20

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