ISCAS OpenIR
a comprehensive analytical model of cognitive radio networks employing centralized scheduling mechanism
Liu Lei; Jin Xiaolong; Min Geyong; Li Keqiu
2012
会议名称14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
会议录名称Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
页码1179-1184
会议日期June 25, 2012 - June 27, 2012
会议地点Liverpool, United kingdom
收录类别EI
ISBN9780769547497
部门归属(1) Department of Computer Science Shandong University China; (2) Shandong Provincial Key Laboratory of Software Engineering Chinese Academy of Science China; (3) Institute of Computing Technology Chinese Academy of Science China; (4) Department of Computing School of Computing Informatics and Media University of Bradford Bradford BD7 1DP United Kingdom; (5) Dalian University of Technology China
摘要The rapid growth of the wireless users in contemporary wireless networks requires more potential spectrum usage. As a result, spectrum bands are deemed to be getting congested. Conversely, the authorities have found that a quantity of frequency bands licensed to operators is under-utilized, and hence implies the inefficiency of spectrum utilization. The provisioning of Cognitive Radio (CR) enables the dynamic spectrum allocation, which is a promising technique for improving spectrum utilization. This paper develops an analytical model for CR networks which distribute the service by a hybrid centralized scheduling mechanism. We obtain the user QoS metrics by isolating the primary and secondary users from the original network. The accuracy of the develop model is corroborated by the comparison between analytical and simulation results. © 2012 IEEE.; The rapid growth of the wireless users in contemporary wireless networks requires more potential spectrum usage. As a result, spectrum bands are deemed to be getting congested. Conversely, the authorities have found that a quantity of frequency bands licensed to operators is under-utilized, and hence implies the inefficiency of spectrum utilization. The provisioning of Cognitive Radio (CR) enables the dynamic spectrum allocation, which is a promising technique for improving spectrum utilization. This paper develops an analytical model for CR networks which distribute the service by a hybrid centralized scheduling mechanism. We obtain the user QoS metrics by isolating the primary and secondary users from the original network. The accuracy of the develop model is corroborated by the comparison between analytical and simulation results. © 2012 IEEE.
关键词Analytical Models Embedded Software Frequency Bands Models Scheduling Wireless Networks
主办者IEEE; IEEE Computer Society; IEEE Technical Committee on Scalable Computing (TCSC); University of Bradford
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/15962
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Liu Lei,Jin Xiaolong,Min Geyong,et al. a comprehensive analytical model of cognitive radio networks employing centralized scheduling mechanism[C],2012:1179-1184.
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