认知无线网络中多业务时延性能分析  

Delay Performance Analysis for Supporting Multi-Traffic in Cognitive Radio Networks

作　　者：李来扛[1] 李宁[2] 徐友云[2] 冯望[3] 徐阳[3] 

机构地区：[1]解放军理工大学通信工程学院研究生2队,江苏南京210007 [2]解放军理工大学通信工程学院 [3]解放军理工大学通信工程学院研究生4队

出　　处：《军事通信技术》2014年第2期33-39,共7页Journal of Military Communications Technology

基　　金：国家自然科学基金资助项目(61072044;60932002;61371123);江苏省自然科学基金资助项目(BK2011002)

摘　　要：针对认知无线网络中多业务的时延性能进行分析研究。为保证不干扰主用户正常通信,采用绝对优先策略传输主用户业务,同时,通过"动态传输窗"分别为认知用户的时延敏感业务和时延不敏感业务提供相对优先级传输策略,基于EWA模型和认知用户之间信道选择的博弈特性设计信道选择算法,改善了认知用户业务时延性能,并利用排队理论对各种业务进行时延性能分析。仿真结果表明,改进的信道选择算法收敛速度更快,能够改善认知用户业务的时延性能。The delay performance was analyzed for supporting multi-traffic in cognitive radio networks. For ensuring Primary Users~ （PUs） licensed membership, packets from PUs were dis- tinguished from the Secondary Users （SUs） by employing an absolute priority strategy. The packets from SUs were classified into delay-sensitive packets and delay-insensitive packets. More- over, adopting ＂dynamic transmission window＂ strategy, a relative priority transmission between these two types of SUs~ traffic was provided. The delay performance of multi-traffic was thor- oughly investigated by coupling a dynamic and adaptive channel selection algorithm based on EWA model and game among the secondary users and queuing theory. Simulation results show that the improved EWA learning game algorithm converges faster, and can significantly improve the delay performance of SUs＇ traffic.

关 键 词：认知无线网络 多业务 学习博弈 信道选择 时延分析 

分 类 号：TN929.5[电子电信—通信与信息系统]