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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 | |
| 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 |
| ISBN | 9780769547497 |
| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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