Title
A Practical Channel Estimation Scheme for Sub-Connected Hybrid Massive MIMO Systems
Abstract
In massive multiple-input multiple-output (MIMO) system, the increasing number of antennas causes high power consumption and hardware complexity. Sub-connected hybrid system structure can effectively mitigate integration difficulty and reduce the number of radio frequency (RF) chains. Despite losing little degrees of freedom, this structure makes massive MIMO achieved in practice. In this paper, we proposes a uplink channel estimation scheme where a sub-connected hybrid massive MIMO base station (BS) communicates with a single-antenna user. Since the sparsity caused by severe path loss, channel state information can be reconstructed by estimating the angles and gains of paths. We apply joint beam selection and sum-difference beam (JBSSDB) method to estimate path angles and utilize least square (LS) method to estimate gains information. Simulation results demonstrate that the proposed scheme achieves lower NMSE than conventional method in the case of same overhead.
Year
DOI
Venue
2019
10.1109/BMSB47279.2019.8971952
2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
Keywords
Field
DocType
massive MIMO,sub-conected hybrid structure,channel estimation,joint beam selection and sum-difference beam (JBSSDB).
Least squares,Base station,Computer science,MIMO,Communication channel,Real-time computing,Radio frequency,Electronic engineering,Path loss,Hybrid system,Channel state information
Conference
ISSN
ISBN
Citations 
2155-5044
978-1-7281-2151-2
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhang Zijian15710.32
Yue Li2610.29
Lingna Hu301.01
Lianghui Ding414223.58
Feng Yang501.01