DocumentCode
1183659
Title
Antenna-diversity-assisted genetic-algorithm-based multiuser detection schemes for synchronous CDMA systems
Author
Yen, K. ; Hanzo, L.
Author_Institution
Dept. of Electron. & Comput. Sci., Univ. of Southampton, Highfield Southampton, UK
Volume
51
Issue
3
fYear
2003
fDate
3/1/2003 12:00:00 AM
Firstpage
366
Lastpage
370
Abstract
A spatial diversity reception assisted multiuser code-division multiple-access detector based on genetic algorithms (GAs) is proposed. Two different GA-based individual-selection strategies are considered. In our first approach, the so-called individuals of the GA are selected for further exploitation, based purely on the sum of their corresponding figures of merit evaluated for the individual antennas. According to our second strategy, the GA´s individuals are selected based on the concept of the so-called Pareto optimality, which uses the information from the individual antennas independently. Computer simulations showed that the GAs employing the latter strategy achieve a lower bit-error rate as compared to the former strategy. For a 15-user GA-assisted system employing a spreading factor of 31, a complexity reduction factor of 81 was achieved at a performance identical to that of the optimum multiuser detector using a full search.
Keywords
antenna arrays; antenna theory; code division multiple access; diversity reception; error statistics; genetic algorithms; multiuser detection; receivers; receiving antennas; GA-based individual-selection strategies; Pareto optimality; antenna-diversity-assisted genetic-algorithm-based multiuser detection schemes; bit-error rate; complexity reduction factor; figures of merit; spatial diversity reception assisted multiuser code-division multiple-access detector; spreading factor; synchronous CDMA systems; AWGN; Code division multiplexing; Detectors; Diversity reception; Fading; Genetic algorithms; Multiaccess communication; Multiuser detection; Proposals; Receiving antennas;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2003.809755
Filename
1194441
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