Distributed dynamic-TDD resource allocation in femtocell networks using evolutionary game

Cheng Chih Chao, Chia-Han Lee, Hung Yu Wei, Chih Yu Wang, Wen Tsuen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Since uplink (UL) and downlink (DL) traffic loads are time-variant in femtocells, it is essential to adopt dynamic time-division duplexing (TDD) to effectively adjust the uplink and downlink transmission resources. However, the cross-link interference between dynamic TDD femtocells decreases the throughput gain of dynamic TDD. In this paper, we propose an evolutionary game-based distributed approach to choose the UL-DL configuration in order to minimize interference and maximize the system throughput in a large-scale femtocell network. A multiple populations evolutionary game is formulated to model femtocells with different traffic loads. We prove that the evolutionarily stable strategy (ESS) of the considered multiple populations evolutionary game is the optimal configuration which maximizes the system throughput. Simulation results confirm the effectiveness of the proposed evolutionary game-based approach for system throughput optimization in femtocells employing dynamic TDD.

Original languageEnglish
Title of host publication2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1157-1162
Number of pages6
ISBN (Electronic)9781467367820
DOIs
StatePublished - 1 Dec 2015
Event26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015 - Hong Kong, China
Duration: 30 Aug 20152 Sep 2015

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2015-December

Conference

Conference26th IEEE Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2015
CountryChina
CityHong Kong
Period30/08/152/09/15

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