Paper Info
Title
Distributed Compressed Sensing-Based Multiuser Channel Estimation For Frequency-Selective Hybrid Mmwave Mimo System
Abstract
The multiuser millimeter wave (mmWave) MIMO system has been considered as a promising technology for future 5G cellular networks since high volume of data rates can be achieved by simultaneously supporting multiple users. However, the channel estimation is challenging due to the multiuser interference in frequency-selective hybrid mmWave MIMO system. In this paper, we focus on the multiuser uplink wideband channel estimation with frequency selectivity. Specifically, a layer-precoder reuse strategy is proposed, in which each transmission frame is divided into several subframes and the users share a common precoder at each subchannel of different subcarriers. Then, instead of only estimating channel of one user, multiuser frequency-selective channel can be jointly estimated via a sparse recovery formulation. Furthermore, by exploiting the common sparsity among subchannels in frequency-selective mmWave system, a distributed compressed sensing (DCS)-based channel estimation is proposed to jointly acquire the channel state information of all users via weighted least square to further reduce the pilot overhead. In addition, the Cramer-Rao lower bound (CRLB) is derived for multiuser frequency-selective channel estimation. Simulation results demonstrate that the proposed DCS-based method can asymptotically approach the CRLB of channel estimation.
Year
DOI
Venue
2018
10.1002/dac.3816
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
Keywords
Field
DocType
distributed compressed sensing, frequency-selective channel, mmWave MIMO, multiuser channel estimation
Computer science,MIMO,Communication channel,Real-time computing,Electronic engineering,Compressed sensing
Journal
Volume
Issue
ISSN
31
18
1074-5351
Citations 
PageRank 
References 
1
0.35
14
Authors
4
Name
Order
Citations
PageRank
Ruoyu Zhang162.79
Jia Yan Zhang2105.24
Yulong Gao37512.30
H. L. Zhao494.87