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Title:
a comprehensive analytical model of cognitive radio networks employing centralized scheduling mechanism
Author: Liu Lei ; Jin Xiaolong ; Min Geyong ; Li Keqiu
Source: 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
Conference Name: 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012
Conference Date: June 25, 2012 - June 27, 2012
Issued Date: 2012
Conference Place: Liverpool, United kingdom
Keyword: Analytical models ; Embedded software ; Frequency bands ; Models ; Scheduling ; Wireless networks
Indexed Type: EI
ISBN: 9780769547497
Department: (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
Sponsorship: IEEE; IEEE Computer Society; IEEE Technical Committee on Scalable Computing (TCSC); University of Bradford
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15962
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Liu Lei,Jin Xiaolong,Min Geyong,et al. a comprehensive analytical model of cognitive radio networks employing centralized scheduling mechanism[C]. 见:14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012. Liverpool, United kingdom. June 25, 2012 - June 27, 2012.
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