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Cluster-based joint cell association and interference coordination control in heterogeneous networks

  • Liang Chen
  • , Lin Ma
  • , Yubin Xu
  • , Victor C.M. Leung
  • , Xiaolu Wang
  • Harbin Institute of Technology
  • Ministry of Public Security of the People's Republic of China
  • University of British Columbia

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

Abstract

In this paper, a joint control method for the user association and almost blank sub-frame (ABSF) based interference coordination (IC) technique in heterogeneous cellular networks is proposed. The optimization objective is simultaneously improving system throughput and guaranteeing proportionally fairness. Usually, user and base station (UE-BS) association is performed before ABSF rate determination, which is suboptimal with respect to UE-BS association. We formulate the joint optimization of UE-BS association and ABSF rate as a combinatorial optimization problem. To deal with it, we proposed an iterative method to discover the ABSF rate, the optimal association and the optimal resource blocks(RBs) allocation that can maximum long-term average throughput. Besides, as we cannot know the interference before userassociation and resource allocation, we proposed a graph-based BS clustering method to estimate the interference before userassociation and resource allocation. Simulation results show the efficiency of our proposed scheme.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
StatePublished - 2 Jul 2016
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 18 Sep 201621 Sep 2016

Publication series

NameIEEE Vehicular Technology Conference
Volume0
ISSN (Print)1550-2252

Conference

Conference84th IEEE Vehicular Technology Conference, VTC Fall 2016
Country/TerritoryCanada
CityMontreal
Period18/09/1621/09/16

Keywords

  • ABSF
  • BS clusting
  • Resource allocation
  • User association

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