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

Preceding 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 Eu...

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Published in:IEEE transactions on signal processing 2011-11, Vol.59 (11), p.5485-5498
Main Authors: Srinath, K. P., Rajan, B. S.
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description Preceding 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 at 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 pre coder for 4-QAM by Vrigneau et at 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(√M) while that of the E-d min precoder is O(M√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 × 2, 4 × 4 and 8×8 systems.
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source IEEE Electronic Library (IEL) Journals
subjects Antennas
Applied sciences
Channels
Coding, codes
Complexity
Complexity theory
Constellations
Decoding
Detection, estimation, filtering, equalization, prediction
Diversity gain
Errors
Exact sciences and technology
Information, signal and communications theory
low ML-decoding complexity
MIMO
Modulation, demodulation
multiple-input multiple-output (MIMO) precoders
Optimization
Quadrature amplitude modulation
Receivers
Signal and communications theory
Signal, noise
Simulation
singular values
Studies
Telecommunications and information theory
Transmitting antennas
word error probability
title A Low ML-Decoding Complexity, Full-Diversity, Full-Rate MIMO Precoder
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