Title : 
A micro-genetic algorithm-based CDMA multi-user detector
         
        
            Author : 
Al-Sawafi, Mubarak M S ; Jervase, Joseph A.
         
        
            Author_Institution : 
Electr. & Comput. Eng. Dept., Sultan Qaboos Univ., Muscat, Oman
         
        
        
        
        
            Abstract : 
A new multi-user detection technique that utilizes only the micro-genetic algorithm (μGA) is developed. In contrast to previous approaches, the micro-genetic algorithm is not hybridized with any detector other than a conventional detector (CD) or a decorrelator as an initial stage. The use of this algorithm considerably reduces the number of operations as well as the total cost of the proposed detector. A 5-user DS-CDMA system is adopted to examine the performance of the μGA detector. Using computer simulations, it is shown that the proposed μGA receiver achieves a performance close to the optimal detector as measured by the bit-error-rate (BER). This performance is achieved at a much lower computational time compared to the optimal detector. The potential of the μGA detector as a suboptimal DS-CDMA multi-user detector is thus demonstrated.
         
        
            Keywords : 
code division multiple access; error statistics; genetic algorithms; multiuser detection; spread spectrum communication; BER; CDMA multi-user detector; DS-CDMA; bit-error-rate; computational time; decorrelator; micro-genetic algorithm; multiuser detection; Bit error rate; Costs; Decorrelation; Detectors; Genetic algorithms; Matched filters; Mean square error methods; Multiaccess communication; Multiple access interference; Multiuser detection;
         
        
        
        
            Conference_Titel : 
Communication Networks and Services Research, 2004. Proceedings. Second Annual Conference on
         
        
            Print_ISBN : 
0-7695-2096-0
         
        
        
            DOI : 
10.1109/DNSR.2004.1344726