Paper Info
Title
Channel Training Signal Design for Reciprocal Multiple Antenna Systems With Beamforming.
Abstract
Fast and efficient channel estimation is key to achieving high data rate performance in mobile and vehicular communication systems, where the channel is fast time-varying. To this end, this work proposes and optimizes channel-dependent training schemes for reciprocal Multiple-Input Multiple-Output (MIMO) channels with beamforming (BF) at the transmitter and receiver. First, assuming that Channel State Information (CSI) is available at the receiver, a channel-dependent Reverse Channel Training (RCT) signal is proposed that enables efficient estimation of the BF vector at the transmitter with a minimum training duration of only one symbol. In contrast, conventional orthogonal training requires a minimum training duration equal to the number of receive antennas. A tight approximation to the capacity lower bound on the system is derived, which is used as a performance metric to optimize the parameters of the RCT. Next, assuming that CSI is available at the transmitter, a channel-dependent forward-link training signal is proposed and its power and duration are optimized with respect to an approximate capacity lower bound. Monte Carlo simulations illustrate the significant performance improvement offered by the proposed channel-dependent training schemes over the existing channel-agnostic orthogonal training schemes.
Year
DOI
Venue
2013
10.1109/TVT.2012.2219631
IEEE T. Vehicular Technology
Keywords
Field
DocType
Training,Data communication,Vectors,Channel estimation,MIMO,Transmitters,Approximation methods
Beamforming,Spatial correlation,Computer science,Binary erasure channel,MIMO,Communication channel,Electronic engineering,Channel capacity,Precoding,Channel state information
Journal
Volume
Issue
ISSN
62
1
0018-9545
Citations 
PageRank 
References 
8
0.48
21
Authors
2
Name
Order
Citations
PageRank
Bettagere Nagaraja Bharath1493.31
Chandra R. Murthy254275.73