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A low‐complexity iterative MIMO detection and decoding scheme using dimension reduction
Author(s) -
Shin SangSik,
Choi Hongsoo,
Jang JaeEun,
Choi JiWoong
Publication year - 2016
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.2839
Subject(s) - decoding methods , reduction (mathematics) , demodulation , single antenna interference cancellation , computer science , mimo , dimension (graph theory) , computational complexity theory , a priori and a posteriori , slicing , scheme (mathematics) , algorithm , interference (communication) , multiplexing , computer engineering , mathematics , telecommunications , channel (broadcasting) , mathematical analysis , philosophy , geometry , epistemology , world wide web , pure mathematics
Spatial multiplexing multiple‐input multiple‐output is considered as a core advanced communication technology to increase data rate. Although it guarantees higher capacity, it gives huge burden on the receiver side especially when iterative detection and decoding (IDD) is employed. Therefore, the IDD receiver needs to be efficiently implemented considering the complexity as well as performance in practice. In this paper, we propose an IDD scheme employing dimension reduction soft demodulation (DRSD) principle based on maximum a posteriori criterion necessary for IDD operation. With separation into hard and soft streams in the DRSD, the proposed scheme employs all ordering successive interference cancellation with a simple modified slicing for hard detection to consider the effect of a priori information conveyed from past iteration, enabling complexity reduction. It can provide better trade‐off between complexity and performance. Copyright © 2014 John Wiley & Sons, Ltd.