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Receive Antenna Selection for Time-Varying Channels Using Discrete Prolate Spheroidal Sequences

Abou Saleh, Hassan A and Molisch, Andreas F and Zemen, Thomas and Blostein, Steven D and Mehta, Neelesh B (2012) Receive Antenna Selection for Time-Varying Channels Using Discrete Prolate Spheroidal Sequences. In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 11 (7). pp. 2616-2627.

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Official URL: http://dx.doi.org/10.1109/TWC.2012.050112.111582

Abstract

Receive antenna selection (AS) has been shown to maintain the diversity benefits of multiple antennas while potentially reducing hardware costs. However, the promised diversity gains of receive AS depend on the assumptions of perfect channel knowledge at the receiver and slowly time-varying fading. By explicitly accounting for practical constraints imposed by the next-generation wireless standards such as training, packetization and antenna switching time, we propose a single receive AS method for time-varying fading channels. The method exploits the low training overhead and accuracy possible from the use of discrete prolate spheroidal (DPS) sequences based reduced rank subspace projection techniques. It only requires knowledge of the Doppler bandwidth, and does not require detailed correlation knowledge. Closed-form expressions for the channel prediction and estimation error as well as symbol error probability (SEP) of M-ary phase-shift keying (MPSK) for symbol-by-symbol receive AS are also derived. It is shown that the proposed AS scheme, after accounting for the practical limitations mentioned above, outperforms the ideal conventional single-input single-output (SISO) system with perfect CSI and no AS at the receiver and AS with conventional estimation based on complex exponential basis functions.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Antenna selection;time-varying fading;discrete prolate spheroidal sequences;Slepian basis expansion
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 15 Oct 2012 05:14
Last Modified: 15 Oct 2012 05:15
URI: http://eprints.iisc.ernet.in/id/eprint/45106

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