Exact sum-rate analysis of MIMO broadcast channels with random unitary beamforming based on quantized sinr feedback

Hong Chuan Yang, Peng Lu, Hyung Ki Sung, Young Chai Ko

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

    9 Citations (Scopus)

    Abstract

    There is a continuing interest in low-complexity multiuser MIMO transmission techniques based on random unitary beamforming (RUB). Different RUB schemes mandate different amount of feedback to exploit the multiuser diversity gain for sum-rate capacity benefits. In this paper, we investigate the tradeoff of sum-rate capacity versus feedback load between different RUB schemes through accurate statistical analysis. Specifically, we derive the exact sum-rate expressions for two RUB schemes based on quantized signal-to-interference-plus- noise ratio (SINR) feedback. These analysis are accompanied by the development of the complete statistical characterizations of ordered SINRs for a user, which can find their application in many other related problems. We show through selected numerical examples that the additional feedback of the quantized values of best beam SINR from each user can help considerably improve the sum-rate performance of RUB systems.

    Original languageEnglish
    Title of host publicationICC 2008 - IEEE International Conference on Communications, Proceedings
    Pages3669-3673
    Number of pages5
    DOIs
    Publication statusPublished - 2008
    EventIEEE International Conference on Communications, ICC 2008 - Beijing, China
    Duration: 2008 May 192008 May 23

    Publication series

    NameIEEE International Conference on Communications
    ISSN (Print)0536-1486

    Other

    OtherIEEE International Conference on Communications, ICC 2008
    Country/TerritoryChina
    CityBeijing
    Period08/5/1908/5/23

    Keywords

    • Capacity analysis
    • Multiuser MIMO
    • Multiuser diversity
    • Random beamforming

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Electrical and Electronic Engineering

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