认知无线网状网中基于差分演化的功率控制与信道分配  

Channel Allocation and Power Control Based on Differential Evolution Algorithm in Cognitive Radio Mesh Network

作　　者：贾杰[1] 李燕燕[1] 陈剑[1] 王兴伟[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《电子学报》2013年第1期62-67,共6页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60903159;No.61070162;No.61173153;No.71071028;No.70931001);中国博士后科学基金(No.20110491508;No.2012T50248);中央高校基本科研业务费资助(No.N110404014;No.N110318001);高等学校博士学科点专项科研基金(No.20070145017)

摘　　要：信道分配对于提高认知无线网状网性能具有重要作用.考虑到节点功率对网络干扰的影响,定义了网络干扰边及潜在干扰边,通过量化通信功率控制等级,给出了联合功率控制与信道分配的网络模型.提出一种基于差分演化的功率控制与信道分配算法,设计了实数编码规则及相应的约束控制机制以保证个体的有效性,确保算法的快速收敛.一系列仿真实验表明本文算法的有效性.Channel allocation plays an important role in improving the performance of cognitive radio mesh network.Considering the influnce of the node power on network interference,the network interference edge and potential interference edge are defined.By quantizing the level for communication power,a network model of joint power control and channel assignment is presented.Futher,the channel allocation algrithm with power control on the basis of differential evolution algorithm is proposed.The real-number encoding rules and relevant constraints control mechanisms are designed to ensure the effectiveness of the individuals,thus to converge faster to optimal solution.Extensive simulations have been performed to validate the effectiveness of the proposed algorithm.

关 键 词：认知无线网状网 功率控制 信道分配 差分演化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]