认知无线网络中基于主用户行为的联合路由和信道分配算法

刘婧; 任品毅; 薛少丽; 张超

doi:1000-436X(2011)11-0183-08

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认知无线网络中基于主用户行为的联合路由和信道分配算法

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- 认知无线网络中基于主用户行为的联合路由和信道分配算法
- Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks
- 通信学报 2011年32卷第11期页码：183-190
- 作者机构：
- 作者简介：
  
  [ "刘婧（1988-），女，江西萍乡人，西安交通大学硕士生，主要研究方向为认知无线网络路由技术。" ]
  [ "任品毅（1971-），男，湖南长沙人，博士，西安交通大学教授、博士生导师，主要研究方向为无线通信及信号检测技术、无线通信技术、认知无线电技术。" ]
  [ "薛少丽（1962-），女，陕西韩城人，硕士，西安交通大学副教授，主要研究方向为通信电子技术。" ]
  [ "张超（1982-），男，陕西西安人，博士，西安交通大学讲师，主要研究方向为无线通信技术、超宽带技术、认知无线电技术。" ]
- 基金信息：
  
  国家自然科学基金重点资助项目;The Major Program of National Natural Science Foundation of China(60832007);国家自然科学基金资助项目;The National Natural Science Foundation of China(61102082);国家高技术研究发展计划（“863”计划）基金资助项目;The National High Technology Research and Development Program of China (863 Program)(2009AA011801);国家科技重大专项基金资助项目;The National Science and Technology Major Specific Project of China(2010ZX03005-003);东南大学移动通信国家重点实验室开放研究基金资助课题;The Open Research Fund of National Mobile Communications Research Laboratory，Southeast University(2011D14)
- DOI：1000-436X(2011)11-0183-08
  中图分类号： TP393.04
- 网络首发：2011-11，
  
  纸质出版：2011-11-25
- 稿件说明：
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刘婧, 任品毅, 薛少丽, 等. 认知无线网络中基于主用户行为的联合路由和信道分配算法[J]. 通信学报, 2011,32(11):183-190.

Jing LIU, Pin-yi REN, Shao-li XUE, et al. Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks[J]. Journal on Communications, 2011, 32(11): 183-190.
刘婧, 任品毅, 薛少丽, 等. 认知无线网络中基于主用户行为的联合路由和信道分配算法[J]. 通信学报, 2011,32(11):183-190. DOI： 1000-436X(2011)11-0183-08.

Jing LIU, Pin-yi REN, Shao-li XUE, et al. Primary-user behavior based joint routing and channel allocation algorithm in cognitive radio networks[J]. Journal on Communications, 2011, 32(11): 183-190. DOI： 1000-436X(2011)11-0183-08.

摘要

针对认知无线网络中主用户行为将导致频谱瞬时变化而影响路由稳定性的问题，提出了一种基于主用户行为的路由和信道联合分配算法。该算法通过采用呼叫模型对主用户行为建模，并根据动态源路由协议的路由寻找机制，在目的节点等待多个路由请求分组后选择受主用户行为影响最小的路由，然后沿着所选定路径的反方向传送路由回复分组并完成信道分配。理论分析证明了算法中的链路平均持续时间期望与主用户活动概率成反比且具有与网络节点数成正比的计算复杂度。仿真结果表明，该算法具有比Gymkhana路由方案更高的分组投递率和更低的平均分组时延。

Abstract

To resolve the unstable routing problem due to the variation of spectrum availability caused by primary users’ behaviors in cognitive radio networks (CRN)

a primary-user behavior based joint routing and channel allocation (PUB-JRCA) algorithm was proposed.The PUC-JRCA algorithm characterized the primary-user behavior by using the call-based model.According to the route discovery mechanism in the dynamic source routing protocol

the destination node selected the route which received the least impact from primary-user behaviors after receiving a number of route requests.Then

the destination sent back the route reply packet (RREP) along the selected route

and the channel allocation was performed when the RREP passed each node on this route.Theoretic analyses prove that the expected available transmission time for the packet delivery is inversely proportional to the probability that PU is active.Moreover

the computational complexity of the proposed algorithm is proportional to the number of nodes in the CRN.Simulation results show that the proposed algorithm has higher packet delivery ratio and lower average packet delay than the Gymkhana routing scheme.

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Keywords

references

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