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| a comprehensive analytical model of cognitive radio networks employing centralized scheduling mechanism | |
| Liu Lei; Jin Xiaolong; Min Geyong; Li Keqiu | |
| 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 |
| 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 |
| Pages | 1179-1184 |
| Conference Date | June 25, 2012 - June 27, 2012 |
| Conference Place | Liverpool, United kingdom |
| 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 |
| 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.; 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. |
| Keyword | Analytical Models Embedded Software Frequency Bands Models Scheduling Wireless Networks |
| Sponsorship | IEEE; IEEE Computer Society; IEEE Technical Committee on Scalable Computing (TCSC); University of Bradford |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15962 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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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