NDLI: A reduced complexity algorithm for iterative multiuser detection and decoding of asynchronous users

Content Provider	IEEE Xplore Digital Library
Author	Golshan, A.R. Chugg, K.M.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA (Golshan, A.R.)
Abstract	A reduced complexity algorithm is presented for iterative multiuser detection (MUD) and decoding of asynchronous users. For complexity reduction, multiple soft-input soft-output (SISO) modules are operated in parallel each executing the Verdu (see Multiuser Detection, Cambridge University Press, Cambridge, UK, 1998) optimum detection algorithm on a subset of active users. The novel approach introduced is the application of soft-output broadcasters (SOBC) to combine the soft values generated by parallel MUD-SISOs which model the same user. SOBC modules then exchange soft information with SISO decoders and after the first receiver iteration provide probability values necessary for soft cancellation of the interfering users not modeled in each MUD-SISO. Simulation results show that, after multiple iterations, performance of the reduced-complexity algorithm converges to the single user bound at a slightly degraded SNR threshold relative to the full-complexity algorithm, and acceptable performance is achieved with significant reduction in computational complexity.
Starting Page	847
Ending Page	851
File Size	501394
Page Count	5
File Format	PDF
ISBN	0780370971
DOI	10.1109/ICC.2001.937358
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-06-11
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative algorithms Multiuser detection Iterative decoding Detection algorithms Broadcasting Convolutional codes Degradation Computational complexity Multiple access interference Interleaved codes
Content Type	Text
Resource Type	Article

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