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Training for Antenna Selection in Time-Varying Channels: Optimal Selection, Energy Allocation, and Energy Efficiency Evaluation

Kristem, Vinod and Mehta, Neelesh B and Molisch, Andreas F (2013) Training for Antenna Selection in Time-Varying Channels: Optimal Selection, Energy Allocation, and Energy Efficiency Evaluation. In: IEEE TRANSACTIONS ON COMMUNICATIONS, 61 (6). pp. 2295-2305.

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Official URL: http://dx.doi.org/10.1109/TCOMM.2013.032713.120551...

Abstract

Single receive antenna selection (AS) is a popular method for obtaining diversity benefits without the additional costs of multiple radio receiver chains. Since only one antenna receives at any time, the transmitter sends a pilot multiple times to enable the receiver to estimate the channel gains of its N antennas to the transmitter and select an antenna. In time-varying channels, the channel estimates of different antennas are outdated to different extents. We analyze the symbol error probability (SEP) in time-varying channels of the N-pilot and (N+1)-pilot AS training schemes. In the former, the transmitter sends one pilot for each receive antenna. In the latter, the transmitter sends one additional pilot that helps sample the channel fading process of the selected antenna twice. We present several new results about the SEP, optimal energy allocation across pilots and data, and optimal selection rule in time-varying channels for the two schemes. We show that due to the unique nature of AS, the (N+1)-pilot scheme, despite its longer training duration, is much more energy-efficient than the conventional N-pilot scheme. An extension to a practical scenario where all data symbols of a packet are received by the same antenna is also investigated.

Item Type: Journal Article
Additional Information: Copyrright of this article is belongs to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords: Training; antenna selection; diversity methods; fading channels; estimation; error analysis; phase shift keying; time-varying channels; energy management
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Depositing User: Id for Latest eprints
Date Deposited: 25 Sep 2013 11:48
Last Modified: 25 Sep 2013 11:48
URI: http://eprints.iisc.ac.in/id/eprint/47315

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