Stochastic duty cycle model based on measurement for Cognitive Radio

K. Patil, K.E. Skouby, R. Prasad

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

Cognitive Radio (CR) is an influential technology which will radically change the spectrum regulation in future since its ability to provide efficient spectrum utilization. In the CR paradigm, unlicensed users get opportunistic access to the unused licensed spectrum without harmful interference to the incumbent users. The statistical information of current spectrum usage is necessary to find out the frequency bands for dynamic spectrum sharing through CR. In this context spectrum occupancy measurement has been conducted in Pune, India at different locations in the frequency band 700-2746.6 MHz. There are three contributions of this paper. First, we report the results of the spectrum occupancy measurement showing the impact of the measurement location on the spectrum occupancy. Second, we present the stochastic duty cycle model based on measurement to identify the potential for CR in the measured band. Third, we discuss the suitable wireless services in the identified band for CR.
Original languageEnglish
Title of host publicationThe 15th International Symposium on Wireless Personal Multimedia Communications (WPMC 2012)
Number of pages5
PublisherIEEE
Publication date2012
Pages128-132
ISBN (Print)9781467345330
Publication statusPublished - 2012
EventThe 15th International Symposium on Wireless Personal Multimedia Communications - Taipei, Taiwan, Province of China
Duration: 24 Sept 201227 Sept 2012
Conference number: 15

Conference

ConferenceThe 15th International Symposium on Wireless Personal Multimedia Communications
Number15
Country/TerritoryTaiwan, Province of China
CityTaipei
Period24/09/201227/09/2012
SeriesProceedings of the Wireless Personal Multimedia Communications Symposia
ISSN1347-6890

Fingerprint

Dive into the research topics of 'Stochastic duty cycle model based on measurement for Cognitive Radio'. Together they form a unique fingerprint.

Cite this