Performance evaluation of multi-user detection in Cdma using micro-genetic algorithm

• Main Authors: Ahmad, Azmi, Ali, Borhanuddin M., Khatun, Sabira, Hassan, Azmi
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2005
• Subjects: QA75 Electronic computers. Computer science; T10.5 Communication of technical information
• Online Access: http://irep.iium.edu.my/37308/1/01635519.pdf; http://irep.iium.edu.my/37308/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1635519&tag=1

Two main problem of multi-user communication system are the Multiple Access Interference (MAI) and the near-far effects. While near-far effect problem can be approach by applying power control, the MAI problem requires individual receiver to identify desired signal from interferences thus making multi-user detector a popular area of research. Genetic Algorithms (GA) is a search and optimizes technique that works by estimating multiple solutions in order to come with the best estimated solution. GA works iteratively over a population of solution using crossover and mutation to simulate potential solution. In this paper we examine the performance of a micro-Genetic Algorithm-based multi-user detector. Our simulation shows that μGA achieves a performance close to optimal detector.