NDLI: Decision aided MMSE-SIC multiuser detection for DS-CDMA systems

Content Provider	IEEE Xplore Digital Library
Author	Hoang-Yang Lu Wen-Hsien Fang Wan-Shing Yang
Copyright Year	2004
Description	Author affiliation: Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan (Hoang-Yang Lu; Wen-Hsien Fang; Wan-Shing Yang)
Abstract	This work presents a hybrid of the minimum mean square error (MMSE) multiuser detection (MUD) and successive interference cancellation (SIC) in conjunction with an information reuse scheme for direct-sequence code division multiple access (DS/CDMA) systems. The hybrid MUD first divides the users into groups with each group consisting of users with a close power level. The SIC is then used to distinguish users among different groups, while the MMSE MUD is used to detect signals within each group. T further improve the performance impaired by the propagation errors, a decision feedback scheme is added to attain more precise reconstructed outputs. Furthermore, a detailed performance analysis is conducted to provide further insights into the new approach. Furnished simulations show that the performance of the new MUD is very close to that of the MMSE MUD but with substantially lower computational complexity.
Sponsorship	IEEE Circuits and Syst. Soc. IEEE Commun. Soc. IEEE Signal Processing Soc. IEEE Information Theory Soc. Chinese Inst. of Electron. Nokia Corp., Finland Intel Corp., USA Microsoft Res., Asia Shanghai Jiaotong Univ
Starting Page	795
Ending Page	798
File Size	269199
Page Count	4
File Format	PDF
ISBN	0780379381
DOI	10.1109/CASSET.2004.1322009
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiuser detection Interference cancellation Silicon carbide Computational modeling Mean square error methods Performance analysis Multiaccess communication Computational complexity Signal detection Output feedback
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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