Multi-user Detection in CDMA Systems using Firefly based Optimization

被引:0
|
作者
Kaur, Amandeep [1 ]
Mundra, P. S. [1 ]
机构
[1] Chandigarh Engn Coll Landran, Dept Elect & Commun Engn, Mohali, India
来源
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT) | 2017年
关键词
Multiuser detection; Optimization; Firefly algorithm; comparison between Genetic algorithm; biogeography based optimization and Firefly algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the comparison of several optimization methods for solving the optimal multiuser detection problem exactly or approximately are discussed. The purpose of using these algorithms is to provide complexity constraint alternatives to solving this nondeterministic polynomial-time (NP)-hard problem. An approximate solution is found firefly based optimization which is used to provide an exact solution. Simulations show that these approaches can have bit-error rate (BER) performance which is indistinguishable from the maximum likelihood performance. Multi-user detection technique is one of the key technique used in CDMA system. This technique can reduce the multiple access interference and enhance the system performance and capacity. This algorithm helps to finding the shortest path and finding the best transmission power to minimize the BER within the signal. In this paper Comparative study of BBO (Biogeography based optimization) and Firefly Algorithm optimization techniques are summarized and discussed.
引用
收藏
页码:252 / 257
页数:6
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