Pilot Allocation Optimization using Digital Annealer for Multi-cell Massive MIMO

Daiki Maruyama, Bo Wei, Hang Song, Jiro Katto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

For massive multiple-input multiple-output (MIMO) systems, pilot contamination reduces the data transmission capacity owing to the inter-cell interference of non-orthogonal pilots reusage. To develop efficient mobile communication, it is necessary to mitigate pilot contamination. To address this problem, we propose an annealing-based pilot allocation method using Digital Annealer to provide solution for Ising machine. The proposed method is a max k-cut-based approach, where the graph represents the potential strength of pilot contamination among users in other cells. By using this proposed method, users who have strong relationship with pilot contamination will be assigned different pilots. Experiment results show that the proposed method can realize optimal pilot allocation and mitigate pilot contamination. Compared with conventional methods, the proposal achieves the best performance which can increase the minimum achievable rate and show higher SINR, especially when the numbers of users and cells are large.

Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2304-2309
Number of pages6
ISBN (Electronic)9781665442664
DOIs
Publication statusPublished - 2022
Event2022 IEEE Wireless Communications and Networking Conference, WCNC 2022 - Austin, United States
Duration: 2022 Apr 102022 Apr 13

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2022-April
ISSN (Print)1525-3511

Conference

Conference2022 IEEE Wireless Communications and Networking Conference, WCNC 2022
Country/TerritoryUnited States
CityAustin
Period22/4/1022/4/13

Keywords

  • Digital Annealer
  • TDD massive MIMO systems
  • contamination
  • interference
  • pilot allocation

ASJC Scopus subject areas

  • General Engineering

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