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Compressive spectrum sensing in centralized vehicular cognitive radio networks

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成果类型:
期刊论文
作者:
Duan, Jia-Qi;Li, Shining;Ning, Guoqin(宁国勤
作者机构:
[Duan, Jia-Qi; Li, Shining] Shaanxi Key Lab of Embedded System Technology, School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China
[Ning, Guoqin] Department of Information Technology, Huazhong Normal University, Wuhan, 430079, China
语种:
英文
期刊:
International Journal of Future Generation Communication and Networking
ISSN:
2233-7857
年:
2013
卷:
6
期:
3
页码:
1-12
机构署名:
本校为其他机构
院系归属:
教育信息技术学院
摘要:
Cognitive radio enabled vehicular networks (CR-VNETs) is a new communication paradigm that enables moving vehicles to identify spectrum opportunities along busy streets and freeways. This detected spectrum may possibly lie in licensed frequency bands, and can be used for emergency communications, such as by primary responders during crises events. Spectrum sensing ensures that this spectrum is not currently occupied by licensed users, who have priority access rights. However, as the vehicles are in motion, the spectrum sensing at a given location must be completed with minimum delay, a challen...

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