基于鸡群算法的认知无线电决策引擎  

Cognitive Decision Engine for Cognitive Radio Based on the CSO Algotithm

作　　者：尤晓建[1] 韩雪梅[1] 

机构地区：[1]西南科技大学国防科技学院,四川绵阳621010

出　　处：《软件导刊》2017年第7期128-130,共3页Software Guide

基　　金：四川省教育厅科研项目(17ZB0441)

摘　　要：提出基于鸡群算法的认知决策引擎,以解决认知无线电发射参数的自适应重配置问题。将认知决策引擎模型转化为多目标优化问题,并采用加权和方法将其转换为单目标优化问题。采用鸡群算法对认知决策引擎进行求解,从而实现认知无线电发射参数的重配置。结合多载波通信系统进行了仿真实验,结果表明,该认知决策引擎能根据用户需求变化,动态进行认知无线电参数的重配置。Aiming at the problem of reconfiguration of cognitive radio parameters, a cognitive radio decision engine based on chicken swam optimization algorithm is proposed. The cognitive decision engine is modeled as a multi - objective optimiza- tion problem,and it is transformed into a single-objective optimization problem by means of weighted sum according to the user ＂s requirement. The chicken wwarm optimization is used to solve the cognitive decision engine, and the reconfiguration of cognitive radio parameters is realized. Finally, the simulation experiment is carried out by combining the multi-carrier communication system. The results show that the cognitive decision engine can reconfigure the cognitive radio parameters dynamically according to the changes of the communication environment and the user＇s requirements.

关 键 词：认知无线电 认知决策引擎 鸡群算法 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]