Low-Complexity MIMO Precoding for Finite-Alphabet Signals

This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and, in particular, for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels exhibiting line-of-sight components and rather general antenna cor...

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Bibliographic Details
Published in:IEEE transactions on wireless communications Vol. 16; no. 7; pp. 4571 - 4584
Main Authors: Yongpeng Wu, Wing Kwan Ng, Derrick, Chao-Kai Wen, Schober, Robert, Lozano, Angel
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
Subjects:
Antennas
Asymptotic properties
Channel models
Channels
Codes
Communication channels
Complexity
Complexity theory
Finite alphabet inputs
Iterative methods
Linear precoding
MIMO
Multiple-input multiple-output
multiple-input multiple-output (MIMO)
Mutual information
Precoding
Replica method
Transmitting antennas
ISSN:1536-1276, 1558-2248
Online Access:Get full text
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Summary:This paper investigates the design of precoders for single-user multiple-input multiple-output (MIMO) channels, and, in particular, for finite-alphabet signals. Based on an asymptotic expression for the mutual information of channels exhibiting line-of-sight components and rather general antenna correlations, precoding structures that decompose the general channel into a set of parallel subchannel pairs are proposed. Then, a low-complexity iterative algorithm is devised to maximize the sum mutual information of all pairs. The proposed algorithm significantly reduces the computational load of existing approaches with only minimal loss in performance. The complexity savings increase with the number of transmit antennas and with the cardinality of the signal alphabet, making it possible to support values thereof that were unmanageable with existing solutions. Most importantly, the proposed solution does not require instantaneous channel state information (CSI) at the transmitter, but only statistical CSI.
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2017.2700308