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    覃振权

    • 副教授       硕士生导师
    • 任职 : 网络空间安全研究所副所长
    • 性别:男
    • 毕业院校:中国科学技术大学
    • 学位:博士
    • 所在单位:软件学院、国际信息与软件学院
    • 学科:软件工程
    • 办公地点:开发区校区综合楼413.
    • 电子邮箱:qzq@dlut.edu.cn

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    GCC: Group-Based CSI Feedback Compression for MU-MIMO Networks

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    论文类型:期刊论文

    发表时间:2018-06-01

    发表刊物:MOBILE NETWORKS & APPLICATIONS

    收录刊物:SCIE

    卷号:23

    期号:3,SI

    页面范围:407-418

    ISSN号:1383-469X

    关键字:MU-MIMO; CSI feedback Compression; User group

    摘要:Multi-user Multiple Input Multiple Output networks (MU-MIMO) adopts beamforming to enable Access Point (AP) to transmit packets concurrently to multiple users, which brings formidable overhead. The overhead of collecting Channel State Information (CSI) feedback matrix may even overwhelm real data transmission when the scale of network is large, which incurs unsatisfactory performance and huge waste of resources. In this paper, we address this urgent problem with GCC, a Group-based CSI feedback Compression scheme for MU-MIMO networks, which enables users to feedback their CSI in terms of group determined by their location. Instead of traditional per-packet scheme, GCC limit the quantity of CSI feedback in each transmission round regardless of the size of network by allowing the location-related users to share a CSI matrix. We use a novel metric to do the tradeoff between throughput and capacity loss of the system. We realize GCC in different scenarios and compare it with exist works, evaluation result reveals that GCC can achieve much higher throughput and is robust to various situations.