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基于Galois域的异构认知无线网络信道跳频汇合算法
Alternative TitleGalois-field-based channel hopping rendezvous algorithms for heterogeneous cognitive radio networks
杨博; 郑萌; 梁炜
Department工业控制网络与系统研究室
Source Publication中国科学:信息科学
ISSN1674-7267
2015
Volume45Issue:6Pages:752-765
Indexed ByCSCD
CSCD IDCSCD:5448640
Contribution Rank1
Funding Organization中国科学院战略性先导科技专项(批准号:XDA06021000)资助
Keyword认知无线网络 信道汇合 跳频 异构网络 Galois域
Abstract信道汇合是认知无线网络中次用户之间选择公共可用信道并建立通信链路的过程,是通信的前提和基础.针对次用户可用信道集合不同的异构认知无线网络难以保证信道汇合的问题,本文提出一套基于Galois域的信道汇合算法,具体包括面向全局信道和面向局部信道的汇合算法.该算法利用Galois域的加和乘运算生成周期性跳频序列,各周期序列包括顺时针方向遍历的信道、校验信道、逆时针方向遍历的信道3个阶段.面向局部信道的汇合算法是针对分布式环境中次用户无法获取全局信道信息而提出的.此外,本文对两种算法的最长汇合时间进行了理论分析.仿真结果表明,与已有算法相比,在全局信道和局部信道两种条件下,所提算法都具有更短的平均汇合...
Other AbstractChannel rendezvous is a prerequisite in cognitive radio networks, where secondary users choose a common available channel and establish a connection. It is difficult to guarantee rendezvous in heterogeneous cognitive radio networks, where no universal channel set is shared among secondary users. In this paper, we propose two Galois-field-based channel hopping (GFCH) heterogeneous rendezvous algorithms: one is global-channel-oriented and the other is local-channel-oriented. The algorithms generate periodic channel-hopping sequences by performing the operations of plus and multiply in the Galois field. The sequence in each period includes three phases: access all the channels in a clockwise direction, access the parity channel, and access all the channels in a counterclockwise direction. As in a distributed environment, global channels may not be shared among secondary users; we then propose a local Galois-field-based channel hopping (L-GFCH) rendezvous algorithm utilizing only local available channels. Furthermore, we analyze the theoretical values of the maximum-time-to-rendezvous of GFCH and L-GFCH. Extensive simulations confirm that GFCH and L-GFCH outperform existing algorithms in terms of expected-time-to-rendezvous in global and local scenarios, respectively.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16863
Collection工业控制网络与系统研究室
Affiliation1.中国科学院网络化控制系统重点实验室
2.中国科学院沈阳自动化研究所
3.中国科学院大学
Recommended Citation
GB/T 7714
杨博,郑萌,梁炜. 基于Galois域的异构认知无线网络信道跳频汇合算法[J]. 中国科学:信息科学,2015,45(6):752-765.
APA 杨博,郑萌,&梁炜.(2015).基于Galois域的异构认知无线网络信道跳频汇合算法.中国科学:信息科学,45(6),752-765.
MLA 杨博,et al."基于Galois域的异构认知无线网络信道跳频汇合算法".中国科学:信息科学 45.6(2015):752-765.
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