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A game theoretic distributed algorithm for FeICIC optimization in LTE-A HetNets

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journal contribution
posted on 08.11.2017, 14:00 authored by Ye Liu, Chung Shue Chen, Chi Wan Sung, Chandramani Singh
To obtain good network performance in Long Term Evolution-Advanced (LTE-A) heterogeneous networks (HetNets), enhanced inter-cell interference coordination (eICIC) and further eICIC (FeICIC) have been proposed by LTE standardization bodies to address the entangled inter-cell interference and the user association problems. We propose the distributed algorithms based on the exact potential game framework for both eICIC and FeICIC optimizations. We demonstrate via simulations a 64% gain on energy efficiency (EE) achieved by eICIC and another 17% gain on EE achieved by FeICIC. We also show that FeICIC can bring other significant gains in terms of cell-edge throughput, spectral efficiency, and fairness among user throughputs. Moreover, we propose a downlink scheduler based on a cake-cutting algorithm that can further improve the performance of the optimization algorithms compared with conventional schedulers.

Funding

This work has been partially supported by ANR project IDEFIX under grant number ANR-13-INFR-0006, a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China, under Project CityU 121713, and by the Engineering and Physical Science Research Council of the UK, EPSRC, under the grant EP/M015475.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE/ACM Transactions on Networking

Citation

LIU, Y. ... et al., 2017. A game theoretic distributed algorithm for FeICIC optimization in LTE-A HetNets. IEEE/ACM Transactions on Networking, 25(6), pp. 3500-3513.

Publisher

IEEE

Version

AM (Accepted Manuscript)

Publisher statement

© 2017 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

Acceptance date

14/08/2017

Publication date

2017-09-18

Notes

© 2017 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

ISSN

1063-6692

Language

en