Title
Low Complexity Soft Input Decoding In An Iterative Linear Receiver For Overloaded Mimo
Abstract
This paper proposes a low complexity soft input decoding in an iterative linear receiver for overloaded MIMO. The proposed soft input decoding applies two types of lattice reduction-aided linear filters to estimate log-likelihood ratio (LLR) in order to reduce the computational complexity. A lattice reduction-aided linear with whitening filter is introduced for the LLR estimation in the proposed decoding. The equivalent noise caused by the linear filter is mitigated with the decoder output stream and the LLR is re-estimated after the equivalent noise mitigation. Furthermore, LLR clipping is introduced in the proposed decoding to avoid the performance degradation due to the incorrect LLRs. The performance of the proposed decoding is evaluated by computer simulation. The proposed decoding achieves about 2 dB better BER performance than soft decoding with the exhaustive search algorithm, so called the MLD, at the BER of 10(-4), even though the complexity of the proposed decoding is 1/10 as small as that of soft decoding with the exhaustive search.
Year
DOI
Venue
2020
10.1587/transcom.2019EBP3159
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
MIMO, overloaded, linear detection, iterative decoding, soft-input-soft-output (SISO)
Journal
E103B
Issue
ISSN
Citations 
5
0916-8516
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Satoshi Denno17625.60
Tsubasa Inoue200.34
Yuta Kawaguchi301.35
Takuya Fujiwara400.68
Yafei Hou51211.89