A Clustering Method Based on the Average Interference Threshold for mMIMO-HetNet

Zhibin Xu, Lixin Li, Ang Gao, Xu Li

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

Abstract

The coexistence of conventional macro cells (MCs) and low power small cells (SCs) forms the heterogeneous networks (HetNets), which can significantly improve the capacity of wireless communication systems. However, the inter-cell interference between MCs and SCs due to sharing the same frequency band is always the key problem needed to be solved. In order to improve the sum rate and reduce backhaul link overhead, in this paper, we establish a mMIMO-HetNets model based on position coordinates and propose a threshold-based base station dynamic clustering method (I-Threshold) which is suitable for multi-users according to the average channel interference strength among SCs. We show that clustering facilitates intra-cluster coordination by enabling data exchange and channel training with reasonable backhaul communication within each SC cluster (SCC). The simulation results show that the proposed method has better performance than the existing methods in system sum rate under almost the same backhaul link overhead.

Original languageEnglish
Title of host publication2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages443-447
Number of pages5
ISBN (Electronic)9781538670057
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE/CIC International Conference on Communications in China, ICCC 2018 - Beijing, China
Duration: 16 Aug 201818 Aug 2018

Publication series

Name2018 IEEE/CIC International Conference on Communications in China, ICCC 2018

Conference

Conference2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Country/TerritoryChina
CityBeijing
Period16/08/1818/08/18

Keywords

  • cluster
  • heterogeneous network
  • massive MIMO
  • zero-forcing.

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