NDLI: Complexity reducing QRM-MLD with sequential decision based on the estimated noise variance

Content Provider	IEEE Xplore Digital Library
Author	Yoshimura, T. Ida, Y. Chang-Jun Ahn Omori, T. Hashimoto, K.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan (Ida, Y.) \|\| Grad. Sch. of Eng., Chiba Univ., Chiba, Japan (Yoshimura, T.; Chang-Jun Ahn; Omori, T.; Hashimoto, K.)
Abstract	In MIMO systems, maximum likelihood decoding (MLD) shows the best performance of all kinds of detections. However, the complexity of MLD exponentially increases with increasing the number of antenna branches and constellation size. Accordingly, it is impractical to use a full MLD without reducing its computational complexity, because it would be prohibitively large to implement. Recently, the use of QR decomposition with an M-algorithm (QRM-MLD) has been proposed to reduce the system complexity while maintaining the performance of the system. However, QRM-MLD performance depends on the surviving symbol replica candidates. To reduce this problem, in this paper, we propose the complexity reducing QRM-MLD with threshold method using the estimated noise variance. The proposed method shows the superior performance while maintaining the low complexity. From the simulation results, the proposed method achieves 1/10 complexity reduction compared with a full MLD for the threshold index $k_{th}$ = 3.3.
Starting Page	590
Ending Page	593
File Size	796196
Page Count	4
File Format	PDF
ISBN	9781467331487
ISSN	17389445
e-ISBN	9788996865018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	GIRI
Subject Keyword	OFDM MIMO Phase shift keying
Content Type	Text
Resource Type	Article

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