Title :
Asymptotic iterative multi-user detection of random CDMA
Author :
Shi, Zhenning ; Schlegel, Christian
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
Recent work has focused on designing efficient receivers for code-division multiple-access (CDMA) channels with forward error control (FEC) coding. In particular with the advent of turbo coding, new receiver structures employing iterative processing have been proposed. A variety of iterative receivers, where multi-user detectors with different complexities are used, have been investigated. In this paper we study such decoders from a large system perspective, where K, N → ∞. We introduce the variance transfer (VTR) functions which accurately describe the convergence of the complete decoder, and are used to predict performance behavior, such as the onset of the turbo cliff, and the maximal supportable user load α=K/N for a given FEC code and interference suppression method. Closed-form expressions for the simple interference canceller as well as the MMSE filter are used. Among the results we present the guidelines on the choice of error control codes, maximal system loads and accurate performance predictions for given system configurations.
Keywords :
AWGN channels; code division multiple access; error correction codes; forward error correction; interference suppression; iterative decoding; least mean squares methods; multiuser detection; turbo codes; AWGN channel; FEC coding; MMSE filter; asymptotic iterative multiuser detection; code-division multiple-access; convergence; error control codes; forward error control coding; interference canceller; interference suppression; iterative decoders; iterative receivers; maximal supportable user load; maximal system loads; random CDMA; turbo cliff; turbo coding; variance transfer functions; Convergence; Detectors; Error correction; Forward error correction; Interference suppression; Iterative decoding; Multiaccess communication; Multiuser detection; Turbo codes; Video recording;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023719