Virtual cell interference alignment in ultra dense network

Xiaopeng Zhu, Chiyang Xiao, Jie Zeng, Xin Su, Lianfen Huang

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

11 Citations (Scopus)

Abstract

It's highly possible that the future wireless communication system adopts a ultra dense deployment to cope with the increasing demand on spectral and energy efficiency. The prerequisite of the forecasted benefits brought by the ultra dense network is that the complex inter-site interference is well undertaken. This paper aims to tackle the interference in ultra dense network utilizing the well studied interference alignment in one user-centric virtual paradigm. Virtual cell clusters are firstly constructed by building the interference list so that interference alignment with different virtual cell clusters can be designed at the user equipment. Then transmit and receive beamforming matrices can be designed for all user equipments in order to cancel out the interference signals by using minimum mean square error algorithm. Simulation results show that the proposed interference alignment scheme achieves much better performance than the zero-forcing and maximum rate transmission precoding.

Original languageEnglish
Title of host publication2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021437
DOIs
Publication statusPublished - 21 Oct 2016
Externally publishedYes
Event2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

Name2016 IEEE/CIC International Conference on Communications in China, ICCC 2016

Conference

Conference2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Ultra dense network
  • interference alignment
  • minimum mean square error
  • virtual cell cluster

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