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Titlebook: Cognitive Radio Oriented Wireless Networks; 12th International C Paulo Marques,Ayman Radwan,Michael Gundlach Conference proceedings 2018 IC

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書目名稱Cognitive Radio Oriented Wireless Networks
副標(biāo)題12th International C
編輯Paulo Marques,Ayman Radwan,Michael Gundlach
視頻videohttp://file.papertrans.cn/230/229095/229095.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Cognitive Radio Oriented Wireless Networks; 12th International C Paulo Marques,Ayman Radwan,Michael Gundlach Conference proceedings 2018 IC
描述.This book constitutes the thoroughly refereed conference proceedings of the 12th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017, held in Lisbon, Portugal, in September 2017.. The 28 revised full papers presented were carefully reviewed and selected from numerous submissions and cover the evolution of cognitive radio technology pertaining to 5G networks. The papers are clustered to topics on spectrum management; network management; trials, test beds, and tools; PHY and sensing; spectrum management..
出版日期Conference proceedings 2018
關(guān)鍵詞5G networks; antennas; cognitive radio networks; cognitive radios; dynamic spectrum access; communication
版次1
doihttps://doi.org/10.1007/978-3-319-76207-4
isbn_softcover978-3-319-76206-7
isbn_ebook978-3-319-76207-4Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
The information of publication is updating

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Sudha Ram,Yousub Hwang,Vijay Khatring mode while protecting the DVB-T signal. Every time when the cognitive user wanted to initiate new transmission, it asked the database for permission and for a set of parameters defining transmit opportunities. The experiment has been carried out with two sets of USRP N210 devices.
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Radu Tudoran,Bogdan Nicolae,G?tz Braschethe SU’s sensing region. We also consider the scenario when the PUs are undesirable detected active when they are not located within the SUs’ sensing region. Our analysis indicate that the transmission capability increases as the average mobility of the PUs decreases, which is confirmed by simulation.
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https://doi.org/10.1007/978-3-319-74497-1er, we use fourth-order statistics to perform blind symbol rate estimation of FTN signals. The estimator shows good performance results for moderate system’s densities beyond the Nyquist rate and for a reasonable number of received samples.
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Blind Symbol Rate Estimation of?Faster-than-Nyquist Signals Based on?Higher-Order Statisticser, we use fourth-order statistics to perform blind symbol rate estimation of FTN signals. The estimator shows good performance results for moderate system’s densities beyond the Nyquist rate and for a reasonable number of received samples.
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Conference proceedings 2018us submissions and cover the evolution of cognitive radio technology pertaining to 5G networks. The papers are clustered to topics on spectrum management; network management; trials, test beds, and tools; PHY and sensing; spectrum management..
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