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A Novel, Balanced, and Energy-Efficient Training Method for Receive Antenna Selection

Kristem, Vinod and Mehta, Neelesh B and Molisch, Andreas F (2010) A Novel, Balanced, and Energy-Efficient Training Method for Receive Antenna Selection. In: IEEE Transactions on Wireless Communications, 9 (9). pp. 2742-2753.

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In receive antenna selection (AS), only signals from a subset of the antennas are processed at any time by the limited number of radio frequency (RF) chains available at the receiver. Hence, the transmitter needs to send pilots multiple times to enable the receiver to estimate the channel state of all the antennas and select the best subset. Conventionally, the sensitivity of coherent reception to channel estimation errors has been tackled by boosting the energy allocated to all pilots to ensure accurate channel estimates for all antennas. Energy for pilots received by unselected antennas is mostly wasted, especially since the selection process is robust to estimation errors. In this paper, we propose a novel training method uniquely tailored for AS that transmits one extra pilot symbol that generates accurate channel estimates for the antenna subset that actually receives data. Consequently, the transmitter can selectively boost the energy allocated to the extra pilot. We derive closed-form expressions for the proposed scheme's symbol error probability for MPSK and MQAM, and optimize the energy allocated to pilot and data symbols. Through an insightful asymptotic analysis, we show that the optimal solution achieves full diversity and is better than the conventional method.

Item Type: Journal Article
Publication: IEEE Transactions on Wireless Communications
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Training; antenna selection; diversity methods; fading channels; estimation; error analysis; quadrature amplitude modulation; quadrature phase shift keying; energy efficient
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 29 Nov 2010 12:13
Last Modified: 29 Nov 2010 12:13
URI: http://eprints.iisc.ac.in/id/eprint/33970

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