3D Spectrum hole detector using Support Vector Machine to enable D2D overlay on heterogeneous CR networks

Yuri Vershinin, Nagendra Nagaraja, Govind Kadambi , Vasile Palade

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This paper presents a novel architecture of a Cognitive Radio (CR) enabled heterogeneous network to obtain maximum spectrum efficiency by minimizing the interference to the Primary User (PU). In a wideband frequency co-operative spectrum sensing, different CR nodes can be assigned to different frequency bands to detect the spectrum hole. Spectrum hole is a 3-dimensional concept, where space, time and frequency are involved. By estimating the probable distance, time and frequency of primary user and applying transmit power control to the CR node, we can maximize the spectrum efficiency. Since in D2D (Device to Device) communication, the distance of communication is shorter and the propagation delays can be estimated, we can perform very accurate transmit power control. Using a 3-dimensional spectrum detector to detect spectrum holes in space, time and frequency will yield higher spectrum efficiency because it enhances the degrees of freedom from 1 to 3 and, hence, provides flexibility to use resources with lowest probability of interference.
Original languageEnglish
Title of host publicationInternational Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017), 01-02 August 2017
Place of PublicationChennai, India
PublisherIEEE
Pages3774-3784
Number of pages11
ISBN (Print)9781538618875
DOIs
Publication statusPublished - 2017
EventInternational Conference on Energy, Communication,
Data Analytics and Soft Computing
- Tamil Nadu, India
Duration: 1 Aug 20172 Aug 2017
http://www.ecds.org.in/

Conference

ConferenceInternational Conference on Energy, Communication,
Data Analytics and Soft Computing
Abbreviated titleICECDS
CountryIndia
CityTamil Nadu
Period1/08/172/08/17
Internet address

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  • Cite this

    Vershinin, Y., Nagaraja, N., Kadambi , G., & Palade, V. (2017). 3D Spectrum hole detector using Support Vector Machine to enable D2D overlay on heterogeneous CR networks. In International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS 2017), 01-02 August 2017 (pp. 3774-3784). [SKR-IEEE-ECDS-0808] Chennai, India : IEEE. https://doi.org/10.1109/ICECDS.2017.8390170