个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:天津大学
学位:博士
所在单位:软件学院、国际信息与软件学院
电子邮箱:lei.wang@dlut.edu.cn
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.