DocumentCode
390092
Title
Performance comparisons of iterative multiuser detection techniques in synchronous coded CDMA systems
Author
Zhou, Xiaobo ; Lu, Wenhi
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
2002
fDate
28-31 Oct. 2002
Firstpage
979
Abstract
In this paper, existing iterative multiuser detection techniques, including the iterative (turbo) soft interference cancellation, the iterative improved parallel interference cancellation, the gradient descent algorithm and the slowest-descent search algorithm, are studied. Two new iterative multiuser detection methods, namely, the simplified iterative soft interference cancellation, and the iterative slowest-ascent search algorithm, are developed and are compared with the above techniques. It is seen that the simplified iterative multiuser detection method significantly outperforms the other methods in coded CDMA systems except the turbo receiver, in additive white Gaussian channels, and also it has low complexity.
Keywords
AWGN channels; code division multiple access; convolutional codes; interference suppression; iterative methods; multiuser detection; radio receivers; radiofrequency interference; search problems; AWGN channels; additive white Gaussian channels; complexity; convolutionally coded CDMA system; gradient descent algorithm; iterative improved parallel interference cancellation; iterative multiuser detection; iterative slowest-ascent search algorithm; iterative soft interference cancellation; performance comparisons; simplified iterative soft interference cancellation; slowest-descent search algorithm; synchronous coded CDMA systems; turbo receiver; turbo soft interference cancellation; Computational modeling; Convolution; Convolutional codes; Interference cancellation; Iterative algorithms; Iterative decoding; Iterative methods; Modulation coding; Multiaccess communication; Multiuser detection;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN
0-7803-7490-8
Type
conf
DOI
10.1109/TENCON.2002.1180285
Filename
1180285
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