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A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder

Srinath, Pavan K and Rajan, Sundar B (2011) A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder. In: IEEE TRANSACTIONS ON SIGNAL PROCESSING, 59 (11). pp. 5485-5498.

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Abstract

Precoding for multiple-input multiple-output (MIMO) antenna systems is considered with perfect channel knowledge available at both the transmitter and the receiver. For two transmit antennas and QAM constellations, a real-valued precoder which is approximately optimal (with respect to the minimum Euclidean distance between points in the received signal space) among real-valued precoders based on the singular value decomposition (SVD) of the channel is proposed. The proposed precoder is obtainable easily for arbitrary QAM constellations, unlike the known complex-valued optimal precoder by Collin et al. for two transmit antennas which is in existence for 4-QAM alone and is extremely hard to obtain for larger QAM constellations. The proposed precoding scheme is extended to higher number of transmit antennas on the lines of the E - d(min) precoder for 4-QAM by Vrigneau et al. which is an extension of the complex-valued optimal precoder for 4-QAM. The proposed precoder's ML-decoding complexity as a function of the constellation size M is only O(root M)while that of the E - d(min) precoder is O(M root M)(M = 4). Compared to the recently proposed X- and Y-precoders, the error performance of the proposed precoder is significantly better while being only marginally worse than that of the E - d(min) precoder for 4-QAM. It is argued that the proposed precoder provides full-diversity for QAM constellations and this is supported by simulation plots of the word error probability for 2 x 2, 4 x 4 and 8 x 8 systems.

Item Type: Journal Article
Additional Information: Copyright 2011 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.
Keywords: Diversity gain;low ML-decoding complexity;multiple-input multiple-output (MIMO) precoders;singular values;word error probability
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 03 Jan 2012 11:55
Last Modified: 03 Jan 2012 11:55
URI: http://eprints.iisc.ernet.in/id/eprint/42614

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