University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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.

[img]
Preview
Text
218-17519-review.pdf
Available under License : See the attached licence file.

Download (251kB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

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 :
AuthorsEmailORCID
Al-Imari, MUNSPECIFIEDUNSPECIFIED
Ghoraishi, MUNSPECIFIEDUNSPECIFIED
Xiao, PUNSPECIFIEDUNSPECIFIED
Tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : 14 May 2015
Identification Number : 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 : 19 Aug 2015 13:01
URI: http://epubs.surrey.ac.uk/id/eprint/807140

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800