%0 Journal Article
%T Chaotic immune optimization based resource allocation in cognitive radio network<br>混沌免疫算法求解认知无线电网络资源分配问题
%A Chai Zheng-Yi
%A Zheng Li-Ping
%A Zhu Si-Feng
%A <br>柴争义
%A 郑丽萍
%A 朱思峰
%J 物理学报
%D 2012
%I 
%X In order to optimize the multi-user subcarrier allocation of cognitive wireless network, it is converted into a constraint optimization problem. A chaotic immune optimization algorithm is proposed to solve it. The key techniques and implementation processes are given. The operators, such as coding, clonal, crossover, and mutation, are designed. The experimental results show that in conditions of user rate, the bit error rate and inference constraints, the algorithm minimizes the total transmit power and converges rapidly. It can obtain the better allocation scheme and improve the utilization efficiency of high frequency spectrum.
%K immune optimization
%K cognitive radio network
%K resource allocation
%K chaotic<br>免疫优化
%K 认知无线电网络
%K 资源分配
%K 混沌
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=78F360FC29C47911916BE454EF570612&yid=99E9153A83D4CB11&vid=1D0FA33DA02ABACD&iid=708DD6B15D2464E8&sid=76629BEFCFE0F7A4&eid=76629BEFCFE0F7A4&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=15