AoD-Based Statistical Beamforming for Cell-Free Massive MIMO Systems

Seungnyun Kim, Byonghyo Shim

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

    6 Citations (Scopus)

    Abstract

    Cell-free massive MIMO system is one of a promising technology of 5G wireless communications that can provide high throughput from the basestation cooperation. To capitalize on the gain obtained by the basestation cooperation, the downlink channel state information (CSI) should be available at the basestations. In the popularly used frequency division duplexing (FDD) system, the downlink CSI must be fed back from the users. However, due to a large number of antennas and basestations, the feedback overhead is a serious concern in the cell-free systems. Recent studies have shown that the uplink and downlink channels have similar angle-of-departures (AoDs), so-called angle reciprocity. In this paper, we present an AoD-based statistical beamforming scheme for the cell-free massive MIMO systems that does not rely on the CSI feedback. Also, we provide an efficient solution for the power allocation problem that minimizes the total power consumption of the basestations. Simulation results demonstrate that the proposed scheme saves approximately 12% transmit power and has a 22% higher coverage probability compare to the conventional cellular systems.

    Original languageEnglish
    Title of host publication2018 IEEE 88th Vehicular Technology Conference, VTC-Fall 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538663585
    DOIs
    Publication statusPublished - 2018 Jul 2
    Event88th IEEE Vehicular Technology Conference, VTC-Fall 2018 - Chicago, United States
    Duration: 2018 Aug 272018 Aug 30

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume2018-August
    ISSN (Print)1550-2252

    Conference

    Conference88th IEEE Vehicular Technology Conference, VTC-Fall 2018
    Country/TerritoryUnited States
    CityChicago
    Period18/8/2718/8/30

    Bibliographical note

    Publisher Copyright:
    © 2018 IEEE.

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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