Estimation for Traffic Arrival Rate and Service Rate of Primary Users in Cognitive Radio Networks

作     者：Xiaolong Yang Xuezhi Tan 

作者机构：Communication Research CenterHarbin Institute of Technology 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2015年第22卷第5期

页      面：61-68页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：Sponsored by the National Natural Science Foundation of China(Grant No.61071104) 

主　　题：cognitive radio hidden Markov model cooperative detection 

摘      要：In order to estimate the traffic arrival rate and service rate parameters of primary users in cognitive radio networks,a hidden Markov model estimation algorithm( HMM-EA) is proposed,which can provide better estimation performance than the energy detection estimation algorithm( ED-EA). Firstly,spectrum usage behaviors of primary users are described by establishing a preemptive priority queue model,by which a real state transition probability matrix is derived. Secondly,cooperative detection is utilized to detect the real state of primary users and emission matrix is derived by considering both detection and false alarm probability. Then,a hidden Markov model is built based on the previous two steps,and evaluated through the forward-backward algorithm. Finally,the simulations results verify that the HMM-EA algorithm outperforms the ED-EA in terms of convergence performance,and therefore the secondary user is able to access the unused channel with the least busy probability in real time.