A New Allocation Algorithm for Pilot Contamination Mitigation in TDD Massive MIMO Systems

Makram Hashim Mahmood Alkhaled, Emad Alsusa, Khairi Hamdi

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Abstract

    Massive multiple-input multiple-output (MIMO) systems are expected to achieve significant gains in both energy and spectral efficiency compared to conventional MIMO systems. However, these promising gains are limited by the impact of
    pilot contamination in TDD multicell massive MIMO which results from reusing the same set of pilot sequences in all the system’s cells. In this paper, we propose an algorithm for pilot sequences allocation that aims to maximize the minimum achievable rate in a target cell by utilizing the availability of
    the large-scale fading information at the BSs. Our results show that the proposed algorithm can significantly improve both the spectral efficiency and the minimum achievable rate compared to the conventional pilot allocation scheme which assigns the pilot sequences randomly.

    Index Terms—inter-cell interference, massive MIMO, multiuser
    MIMO, multicell MIMO, pilot allocation, pilot contamination.
    Original languageEnglish
    Title of host publicationIEEE Wireless Communications and Networking Conference
    PublisherIEEE
    Publication statusAccepted/In press - 15 Dec 2016
    Event2017 IEEE Wireless Communications and Networking Conference - San Francisco, United States
    Duration: 19 Mar 201722 Mar 2017
    http://wcnc2017.ieee-wcnc.org/

    Conference

    Conference2017 IEEE Wireless Communications and Networking Conference
    Abbreviated titleIEEE WCNC 2017
    Country/TerritoryUnited States
    CitySan Francisco
    Period19/03/1722/03/17
    Internet address

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