Spektrum Kullanimini Kestirme ve Tahmin Etme

Translated title of the contribution: Spectrum Usage Estimating and Predicting

Bulent Bolat, Mehmet Oguz Kelek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this study, made from observations in 4 different locations in Doha, the first location is close to the education campus with an open and flat area, the second location is the trade zone, the third location is a region with high buildings near the city center, and the fourth location is selected as the factory and workshop area. Three different algorithms, Bayes Based Analysis, Largest Sense Estimation, and Naive Bayes classifier, were used to estimate and predict spectrum usage on a data set, with 1 minute observation for each location, with a total of 4320 different readings in the 700 - 3000 MHz spectrum. The optimum solution was sought for the prediction and estimation of its use. After the optimum method was chosen, the relationship of the chosen method with the past and previous situations was examined. As a result of these algorithms, Bayes Based algorithm was chosen as the most suitable algorithm and performance was measured as %88:94.

Translated title of the contributionSpectrum Usage Estimating and Predicting
Original languageTurkish
Title of host publication2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728172064
DOIs
Publication statusPublished - 5 Oct 2020
Externally publishedYes
Event28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Duration: 5 Oct 20207 Oct 2020

Publication series

Name2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

Conference

Conference28th Signal Processing and Communications Applications Conference, SIU 2020
Country/TerritoryTurkey
CityGaziantep
Period5/10/207/10/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

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