ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

On Training and Training Voids for Receive Antenna Subset Selection in Time-Varying Channels

Kristem, V and Mehta, NB and Molisch, AF (2011) On Training and Training Voids for Receive Antenna Subset Selection in Time-Varying Channels. In: GLOBECOM 2010, 2010 IEEE Global Telecommunications Conference , 10 January 2011 , Miami, FL .

[img] PDF
On_Training.pdf - Published Version
Restricted to Registered users only

Download (186Kb) | Request a copy
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

Antenna selection (AS) provides most of the benefits of multiple-antenna systems at drastically reduced hardware costs. In receive AS, the receiver connects a dynamically selected subset of N available antennas to the L available RF chains. The "best" subset to be used for data reception is determined by means of channel estimates acquired using training sequences. Due to the nature of AS, the channel estimates at different antennas are obtained from different transmissions of the pilot sequence, and are, thus, outdated by different amounts in a time-varying channel. We show that a linear weighting of the estimates is optimum for the subset selection process, where the weights are related to the temporal correlation of the channel variations. When L is not an integer divisor of N, we highlight a new issue of "training voids", in which the last pilot transmission is not fully exploited by the receiver. We present a "void-filling" method for fully exploiting these voids, which essentially provides more accurate training for some antennas, and derive the optimal subset selection rule for any void-filling method. We also derive new closed-form equations for the performance of receive AS with optimal subset selection.

Item Type: Conference Paper
Additional Information: Copyright 2010 IEEE. Personal use of this material is permitted.However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 19 Dec 2011 11:01
Last Modified: 19 Dec 2011 11:01
URI: http://eprints.iisc.ernet.in/id/eprint/38949

Actions (login required)

View Item View Item