Multi user detection in asynchronous CDMA systems based on parallel tabu search algorithm

被引:1
作者
Isik, Y [1 ]
Kalinli, A
Taspinar, N
机构
[1] Erciyes Univ, Kayseri Meslek Yuksekokulu, Dept Elect, Vocat High Sch, TR-38039 Kayseri, Turkey
[2] Erciyes Univ, Dept Elect Engn, TR-38039 Kayseri, Turkey
关键词
code division multiple access (CDMA); multiuser detection; tabu search algorithm;
D O I
10.1515/FREQ.2005.59.7-8.166
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The performance of the conventional single user detector in CDMA systems degrades due to multiple access interference and near-far effect. Due to high complexity of the optimum multiuser detector, suboptimal multiuser detectors with less complexity and reasonable performance have received considerable attention. In this paper we proposed a novel method based on a parallel tabu search algorithm for the multiuser detection of asynchronous CDMA signals as based on truncated observation window. The performance of the proposed method was also compared with the results of the basic tabu search, matched filter, and single user bound. It is shown that the performance of the proposed method is much better than the basic tabu search and matched filter, and it is very close to the single user bound.
引用
收藏
页码:166 / 170
页数:5
相关论文
共 17 条
[1]   Genetic multiuser receiver for code division multiple access communications [J].
Abedi, S ;
Tafazolli, R .
ELECTRONICS LETTERS, 2000, 36 (23) :1957-1958
[2]   Genetically modified multiuser detection for code division multiple access systems [J].
Abedi, S ;
Tafazolli, R .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2002, 20 (02) :463-473
[3]  
[Anonymous], 2000, Intelligent Optimisation Techniques
[4]  
Corne David., 1999, NEW IDEAS OPTIMIZATI
[5]   Multiuser detection using a genetic algorithm in CDMA communications systems [J].
Ergün, C ;
Hacioglu, K .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2000, 48 (08) :1374-1383
[6]   FUTURE PATHS FOR INTEGER PROGRAMMING AND LINKS TO ARTIFICIAL-INTELLIGENCE [J].
GLOVER, F .
COMPUTERS & OPERATIONS RESEARCH, 1986, 13 (05) :533-549
[7]  
Juntti M. J., 1997, Proceeding. 1997 IEEE International Symposium on Information Theory (Cat. No.97CH36074), DOI 10.1109/ISIT.1997.613429
[8]   Training recurrent neural networks by using parallel tabu search algorithm based on crossover operation [J].
Kalinli, A ;
Karaboga, D .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2004, 17 (05) :529-542
[9]   Tabu learning method for multiuser detection in CDMA systems [J].
Li, CG ;
Liao, XF ;
Yu, JB .
NEUROCOMPUTING, 2002, 49 :411-415
[10]  
Reeves C.R., 1995, Modern Heuristic Techniques for Combinatorial Problems