带有组间切换的认知无线网络混合式信道分配策略及性能研究

doi:10.3969/j.issn.1000-436X.2013.12.002

通信学报 ›› 2013, Vol. 34 ›› Issue (12): 11-19.doi: 10.3969/j.issn.1000-436X.2013.12.002

带有组间切换的认知无线网络混合式信道分配策略及性能研究

金顺福^1,²,解洪亭³,赵媛^1,²

¹ 燕山大学信息科学与工程学院，河北秦皇岛066004
² 河北省计算机虚拟技术与系统集成重点实验室，河北秦皇岛066004
³ 山东中医药大学附属医院网络中心，山东济南250011

出版日期:2013-12-25 发布日期:2017-07-05
基金资助:
国家自然科学基金资助项目;河北省自然科学基金资助项目

Hybrid channel allocation strategy with group switching and performance evaluation in cognitive radio network

Shun-fu JIN^1,²,Hong-ting XIE³,Yuan ZHAO^1,²

¹ College of Information Science and Engineering, Ya han University, Qinhuangdao 066004, China
² Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao 066004, China
³ Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, China

Online:2013-12-25 Published:2017-07-05
Supported by:
The National Natural Science Foundation of China;The Natural Science Foundation of Hebei Province

摘要/Abstract

摘要：

针对认知无线网络中的非实时通信业务，综合使用随机退避方式和控制中心调度方式，考虑两组授权信道，提出一种带有组间切换机制的混合式信道分配策略。基于认知用户数据分组数量及两组授权信道上分别传输的授权用户数据分组数量，建立三维 Markov 模型，导出认知用户的阻塞率、数据丢失率及平均延迟等性能指标表达式。数值实验和系统仿真的结果表明，随着退避时间的变化，不同性能指标间存在一定的折衷关系，通过选取最低的系统成本，给出退避参数的优化设置方案。

关键词: 认知无线网络, 混合式频谱分配, 组间切换, Markov模型, 退避时间

Abstract:

Considering the non-real-time traffic in cognitive radio networks and two groups of licensed channels,com-bing the methods of random back-off and control center schedule,a novel hybrid channe allocation strategy with channel group switching mechanism was proposed.Taking into account the total number of the cognitive packets and the numbers of the primary packets on each group channels,a three-dimensional Markov model was constructed,some cogniti user measures in terms of the blocking ratio,the packet loss ratio and the average delay were derived accordingly.Numerical results with analysis and simulation show that,as the back-off time changes,a tradeoff exists between different perfor-mance measures.Therefore,by minimizing the system cost,the back-off time can be optimized.

Key words: cognitive radio network, hybrid spectrum allocation, group switching, Markov model, back-off time

金顺福,解洪亭,赵媛. 带有组间切换的认知无线网络混合式信道分配策略及性能研究[J]. 通信学报, 2013, 34(12): 11-19.

Shun-fu JIN,Hong-ting XIE,Yuan ZHAO. Hybrid channel allocation strategy with group switching and performance evaluation in cognitive radio network[J]. Journal on Communications, 2013, 34(12): 11-19.

图/表 5

参考文献 12

[1]	MCHENRY M . Spectrum White Space Measurements[R]. New America Foundation Broadband Form, 2003.
[2]	杨威，管东林，逯东辉等. 面向认知无线电网络能量高效协作感知的在线节点选择算法[J]. 通信学报， 2012,33(7):103-110. YANG W , GUAN D L , LU D H , et al. Online energy-efficient node selection algorithm for cooperative sensing in cogniti radio networks[J]. Journal on Communications, 2012,33(7):103-110.
[3]	郭彩丽，冯存燕，曾志民 . 认知无线电网络技术及应用[M]. 北京：电子工业出版社， 2010. GUO C L , FENG C Y , ZENG Z M . Cognitive Radio Network Technologies and Applications[M]. Beijing: Publishing House of Electronics Industry, 2010.
[4]	BAE Y H , ALFA A S , CHOI B D . Performance analysis of modified IEEE 802.11-based cognitive radio networks[J]. Communications Letters, 2010,14(10):975-977.
[5]	SHIANG H P , SCHAAR M . Queuing-based dynamic channel selection for heterogeneous multimedia applications over cognitive radio networks[J]. IEEE Transactions on Multimedia, 2008,10(5):896-909.
[6]	HOANG A T , WONG D T C , LIANG Y C . Design and analysis for an 802.11-based cognitive radio network[A]. Wireless Communications and Networking Conference[C]. Budapest,Hungary, 2009.1-6.
[7]	朱艺华，徐晖，彭静 . IEEE 802.11无线网络的两步指数退避算法[J]. 电子与信息学报， 2011,33(11):2578-2580. ZHU Y H , XU H , PENG J . Two-step backoff algorithm for IEEE 802.11 based wireless networks[J]. Journal of Electronics ＆ Information Technology, 2011,33(11):2578-2580.
[8]	KAUR P , KHOSLA A , UDDIN M . Markovian queuing model for dynamic spectrum allocation in centralized architecture for cognitive radios[J]. IACSIT International Journal of Engineering and Technology, 2011,3(1):96-101.
[9]	WANG B , ZHAO D M , CAI J . Joint connection admission control and packet scheduling in a cognitive radio network with spectrum underlay[J]. IEEE Transactions on Wireless Communications, 2011,10(11):3852-3863.
[10]	KIM K . T-preemptive priority queue and its application to the a lysis of an opportunistic spectrum access in cognitive radio networks[J]. Computers ＆ Operations Research, 2012,39(7):1394-1401.
[11]	TUMULURU V K , WANG P , NIYATO D . A novel spectrum scheduling scheme for multi-channel cognitive radio network and performance analysis[J]. IEEE Transactions on Vehicula Technology, 2011,60(4):1849-1858.
[12]	石华，李建东，李钊 . 认知异构网络中基于克隆选择算法的动态频谱分配[J]. 通信学报， 2012,33(7):59-66. SHI H , LI J D , LI Z . Dynamic spectrum allocation based on clone selection algorithm in cognitive heterogeneous wireless networks[J]. Journal on Communications, 2012,33(7):59-66.

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带有组间切换的认知无线网络混合式信道分配策略及性能研究

Hybrid channel allocation strategy with group switching and performance evaluation in cognitive radio network

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