DocumentCode :
2045431
Title :
Linear precoding for MIMO with LDPC coding and reduced receiver complexity
Author :
Ketseoglou, Thomas ; Ayanoglu, Ender
Author_Institution :
ECE, California State Univ., Pomona, CA, USA
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
2067
Lastpage :
2071
Abstract :
In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems employing Low-Density Parity-Check (LDPC) codes is addressed under the constraint of minimizing the dependence between the system´s receiving branches, thus reducing the relevant transmitter and receiver complexities. Our approach constitutes an interesting generalization of Bit-Interleaved Coded Modulation with Multiple Beamforming (BICMB) which has shown many benefits in MIMO systems. We start with a Pareto optimal surface modeling of the system and show the difficulty involved in the corresponding optimization problem. We then propose an alternative, practical technique, called per-Group Precoding (PGP), which groups together multiple input symbol streams and corresponding receiving branches, and thus results in independent transmitting/receiving streams between groups. We show with simulated results that PGP offers almost optimal performance, albeit with significant reduction both in the precoder optimization, and LDPC EXIT chart based decoding complexities.
Keywords :
MIMO communication; computational complexity; interleaved codes; parity check codes; precoding; BICMB; LDPC coding; MIMO system; Pareto optimal surface modeling; bit-interleaved coded modulation with multiple beamforming; independent transmitting-receiving streams; linear precoding; low-density parity-check codes; multiple input symbol streams; multiple-input multiple-output system; optimization problem; per-group precoding; reduced receiver complexity; Complexity theory; MIMO; Mutual information; Optimization; Parity check codes; Receivers; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810670
Filename :
6810670
Link To Document :
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