NDLI: Single-carrier modulation with ML equalization for large-scale antenna systems over Rician fading channels

Content Provider	IEEE Xplore Digital Library
Author	Yin Sheng Zhenhui Tan Li, G.Y.
Copyright Year	2014
Description	Author affiliation: Sch. of EIE, Beijing Jiaotong Univ., Beijing, China (Yin Sheng; Zhenhui Tan) \|\| Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA, USA (Li, G.Y.)
Abstract	In this paper, we investigate maximum likelihood equalization (MLE) for a large-scale antenna (LSA) system with single-carrier (SC) modulation over Rician fading channels. Orthogonal frequency division multiplexing (OFDM) is usually used to deal with frequency selectivity of wireless channels. However, for a wireless system with large-scale antennas in a Rayleigh fading channel, by combining the received signals through a matched filter (MF), the frequency selective channel can be converted into a frequency flat channel. As a result, SC modulation can be used directly with a simple one-tap equalizer. In a Rician fading channel, however, the line-of-sight (LOS) path will cause mutliuser-interference (MUI), which cannot be mitigated through MF. As a result, the simple one-tap equalizer leads to an error-floor when the signal-to-noise ratio (SNR) is large. In this paper, MLE is used to improve system performance through multiuser detection. From both theoretical analysis and simulation results, the proposed approach can eliminate the error floor and outperform existing approach.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	5759
Ending Page	5763
File Size	294723
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Antennas Maximum likelihood estimation OFDM Rician channels Vectors Fading MLE large-scale antenna single carrier multiuser detection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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