An improved fair channel hopping protocol for dynamic environments in cognitive radio networks

被引:0
作者
Xiaogang Qi
Rong Gao
Lifang Liu
Wei Yang
机构
[1] Xidian University,School of Mathematics and Statistics
[2] Xidian University,School of Computer Science and Technology
来源
Wireless Networks | 2019年 / 25卷
关键词
Cognitive radio; Cognitive radio networks; Temporal variation; Markov process;
D O I
暂无
中图分类号
学科分类号
摘要
Rendezvous is a fundamental challenge in cognitive radio networks where users can find each other on a specific channel and hence establish a communication link. Most previous works are based on the strong assumption that users are able to find a set of available channels after the spectrum sensing stage and the status of these channels are stable all the time, which, however, may be unrealistic in some scenarios. As a solution, we design a fair channel hopping protocol with dynamic channel state, by adopting the concepts of Markov process, Jenkins Hash and Josephus recursive. Two protocols (FCH_S, FCH_A) are proposed for synchronous clock and asynchronous clock network model, respectively. The channel activity model is built with the aid of Markov process. By taking advantage of Jenkins Hash and Josephus recursive, the fairness of protocol is guaranteed. We assume that (1) a secondary user, SUA\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_A$$\end{document}, rendezvous with SUB\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_B$$\end{document}; (2) corresponding channels available probability are pa\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_a$$\end{document} and pb\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_b$$\end{document}. According to these assumptions, we can prove that expect rendezvous time for FCH_S and FCH_A are 1papb\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\dfrac{1}{p_{a}p_{b}}$$\end{document} and 1pa+1pb-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\dfrac{1}{p_{a}}+\dfrac{1}{p_{b}}-1$$\end{document}. Simulation results demonstrate that FCH_S and FCH_A can achieve better performance in contrast to the exiting channel hopping protocols (e.g. H.Tan and HHCH).
引用
收藏
页码:903 / 911
页数:8
相关论文
共 37 条
[1]  
Yucek T(2009)A survey of spectrum sensing algorithms for cognitive radio applications IEEE Communications Surveys & Tutorials 11 116-130
[2]  
Arslan H(2008)Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs IEEE Communications Magazine 46 32-39
[3]  
Ghasemi A(2015)Cognitive radio for smart grids: Survey of architectures, spectrum sensing mechanisms, and networking protocols IEEE Communications Surveys & Tutorials 18 860-898
[4]  
Sousa ES(2016)White space: Definitional perspectives and their role in exploiting spectrum opportunities Telecommunications Policy 40 319-331
[5]  
Khan AA(2011)Rendezvous for cognitive radios IEEE Transactions on Mobile Computing 10 216-227
[6]  
Rehmani MH(2017)ADFC-CH: Adjusted disjoint finite cover rendezvous algorithms for cognitive radio networks Wireless Networks 2017 1-10
[7]  
Reisslein M(2008)HC-MAC: A hardware-constrained cognitive mac for efficient spectrum management IEEE Journal on Selected Areas in Communications 26 106-117
[8]  
Akhtar F(2009)DCR-MAC: Distributed cognitive radio mac protocol for wireless ad hoc networks Wireless Communications & Mobile Computing 9 631-653
[9]  
Rehmani MH(2015)A fast rendezvous-guarantee channel hopping protocol for cognitive radio networks IEEE Transactions on Vehicular Technology 64 1-1
[10]  
Reisslein M(2016)Adaptive rendezvous for heterogeneous channel environments in cognitive radio networks IEEE Transactions on Wireless Communications 15 7753-7765