Paper Info
Title
Training for massive MIMO systems with non-identically aging user channels
Abstract
In this paper, we consider the problem of channel state information (CSI) acquisition in massive MIMO systems with the users exhibiting non-identical channel aging profiles. For this purpose, we derive the per user achievable rates, and the corresponding CSI outage times for different users. We then use these derived results to argue that scheduling the training of all the users, with respect to the outage time of the fastest moving user is suboptimal, and results in unnecessary training overhead. Therefore, we present and evaluate the performance of two simple schemes for scheduling the training of users with different mobilities. Via numerical results, we show that training a subset of users based on the ages of their channel estimates can significantly increase the spectral efficiency of a massive MIMO system.
Year
DOI
Venue
2019
10.1016/j.phycom.2019.100710
Physical Communication
Keywords
Field
DocType
Massive MIMO,Channel aging,Channel estimation,Performance analysis,Achievable rate
Mimo systems,Computer science,Scheduling (computing),Communication channel,Computer network,MIMO,Spectral efficiency
Journal
Volume
ISSN
Citations 
35
1874-4907
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Soumendu Ghosh100.34
Ribhu2235.62