Channel training signal design for reciprocal multiple antenna systems with beamforming

Bharath, BN and Murthy, Chandra R (2013) Channel training signal design for reciprocal multiple antenna systems with beamforming. In: IEEE Transactions on Vehicular Technology, 62 (1). pp. 140-151.

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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.

Item Type:	Journal Article
Publication:	IEEE Transactions on Vehicular Technology
Publisher:	IEEE-Inst Electrical Electronics Engineers Inc
Additional Information:	Copyright of this article belongs to IEEE-Inst Electrical Electronics Engineers Inc.
Keywords:	Capacity Lower Bounds; Channel Estimation; Reverse Training Signal Design; Time-Division Duplex (TDD) System
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	04 Jun 2013 12:03
Last Modified:	04 Jun 2013 12:03
URI:	http://eprints.iisc.ac.in/id/eprint/46671

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