基于认知的拓扑生成与信道分配算法  

Topology Generation and Channel Allocation Algorithm Based on Cognitive Radio

作　　者：刘玉涛 

机构地区：[1]通信网信息传输与分发技术重点实验室,河北石家庄050081

出　　处：《无线电工程》2018年第1期6-9,共4页Radio Engineering

基　　金：国家科技重大专项(2015ZX03004002-004);国家自然科学基金面上项目(61671179)

摘　　要：认知无线电技术通过感知周围环境,自适应地调整拓扑结构和通信参数,可以有效地提高通信性能。由于环境的变化,尤其授权用户工作状态的变化,认知无线电网络的拓扑结构和信道分配结果也动态变化。主要基于图论模型研究最大化瓶颈链路吞吐率目标下的拓扑生成与信道分配问题。基于KM算法提出了干线节点和剩余节点的信道分配方法,仿真分析表明,可用信道比例较低时,EC、PCA、MDS、LTSA和DM方法可以在一定程度上提高组网的成功率。By sensing the wireless environment, cognitive radio technology can adjust topology and communication parametersadaptively,thereby enhancing system performance. For the changes of wireless environment, especially in authorized user status, the topology and channel allocation results are changed dynamically. This paper mainly focuses on topology generation and channel allocation. After the channel allocation algorithm is proposed for the main and the remaining nodes based on the KM algorithm, the appropriate descending dimension algorithms such as EC,PCA,MDS,LTSA and DM are received through simulation analysis when the useful channel proportion is low.

关 键 词：认知无线电 拓扑 信道分配 最大化瓶颈链路吞吐率 

分 类 号：TN929.5[电子电信—通信与信息系统]