Low complexity pilot allocation in massive MIMO systems

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

9 Scopus citations

Abstract

In this paper, we propose a pilot sequences allocation scheme to mitigate the impact of pilot contamination in massive multiple-input multiple-output (MIMO) systems. First, we derive the uplink system sum rate when the number of antennas at the base station tends to infinity. According to the expression, pilot contamination is the only impairment to the system performance. Then, we build a pilot allocation optimization model to maximize the system sum rate. In order to obtain the optimal allocation result, all the possible allocations need to be searched which leads to high computational complexity. To reduce the complexity, a novel pilot allocation algorithm is proposed. The simulation results show that our proposed pilot sequences allocation scheme can achieve a better performance compared with random allocation scheme and has low complexity.

Original languageEnglish
Title of host publicationProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages402-406
Number of pages5
ISBN (Electronic)9781509017805
DOIs
StatePublished - 7 Oct 2016
Event8th IEEE International Conference on Communication Software and Networks, ICCSN 2016 - Beijing, China
Duration: 4 Jun 20166 Jun 2016

Publication series

NameProceedings of 2016 8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

Conference

Conference8th IEEE International Conference on Communication Software and Networks, ICCSN 2016
Country/TerritoryChina
CityBeijing
Period4/06/166/06/16

Keywords

  • greedy strategy
  • massive-MIMO
  • pilot allocation
  • pilot contamination

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