Paper Info
Title
Pilot Length Optimization For Spatially Correlated Multi-User Mimo Channel Estimation
Abstract
We address the design of pilot sequences for channel estimation in the context of multiple-user Massive MIMO; considering the presence of channel correlation, and assuming that the statistics are known, we seek to exploit the spatial correlation of the channels to minimize the length of the pilot sequences, and specifically the fact that the users can be separated either through their spatial signature (low-rank channel covariance matrices), or through the use of different training sequences. We introduce an algorithm to design short training sequences for a given set of user covariance matrices. The obtained pilot sequences are in general non-orthogonal, however they ensure that the channel estimation error variance is uniformly upper-bounded by a chosen constant over all channel dimensions. We show through simulations using a realistic scenario based on the one-ring channel model that the proposed technique can yield pilot sequences of length significantly smaller than the number of users in the system.
Year
DOI
Venue
2015
10.1109/ACSSC.2015.7421339
2015 49TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS
Keywords
Field
DocType
Pilot design, channel estimation, massive MIMO
Mathematical optimization,Multi-user MIMO,Spatial correlation,Error variance,Matrix (mathematics),Control theory,Algorithm,Communication channel,MIMO,Precoding,Mathematics,Covariance
Conference
Volume
Citations 
PageRank 
abs/1602.05480
6
0.46
References 
Authors
10
2
Name
Order
Citations
PageRank
Beatrice Tomasi1335.58
Maxime Guillaud231530.64