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Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16–18, 2020, Proceedings, Part I

Research Article

TAB: CSI Lossless Compression for MU-MIMO Network

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  • @INPROCEEDINGS{10.1007/978-3-030-67537-0_7,
        author={Qigui Xu and Wei Xi and Lubing Han and Kun Zhao},
        title={TAB: CSI Lossless Compression for MU-MIMO Network},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 16th EAI International Conference, CollaborateCom 2020, Shanghai, China, October 16--18, 2020, Proceedings, Part I},
        proceedings_a={COLLABORATECOM},
        year={2021},
        month={1},
        keywords={MU-MIMO network Channel State Information Channel overhead},
        doi={10.1007/978-3-030-67537-0_7}
    }
    
  • Qigui Xu
    Wei Xi
    Lubing Han
    Kun Zhao
    Year: 2021
    TAB: CSI Lossless Compression for MU-MIMO Network
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-030-67537-0_7
Qigui Xu1, Wei Xi1, Lubing Han1, Kun Zhao1,*
  • 1: School of Computer Science and Technology, Xi’an Jiaotong University
*Contact email: pandazhao1982@gmail.com

Abstract

Multi-user MIMO (MU-MIMO) is an important technology to improve data transmission efficiency for future network, such as 5G and WiFi 6, due to its ability of enabling multi-users’ concurrent transmissions. To achieve concurrent diversity gains, MU-MIMO network resource allocation relies on the feedback of Channel State Information (CSI) from multiple clients. CSI feedbacks from large user population, however, heavily degrade the throughput of a MU-MIMO network. Pursuing smart CSI feedback, we present a CSI timeliness-aware balanced mechanism, named TAB. It is a novel MU-MIMO protocol to eliminate unnecessary feedback overhead and improve CSI utilization within channel coherence time. TAB is fully compatible with the WiFi 5/6 standard and most state-of-the-art CSI feedback strategies, and is easy to be deployed on existing WiFi systems. Our software-radio based implementation and testbed experimentation demonstrate that TAB substantially improves the throughput of both downlink and uplink MU-MIMO network by 1.5(\times )at least.

Keywords
MU-MIMO network Channel State Information Channel overhead
Published
2021-01-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-67537-0_7
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