Intelligent Spectrum Occupancy Prediction for Realistic Measurements: GRU based Approach

Armed Tusha, Batuhan Kaplan, Hakan Ali Cirpan, Khalid Qaraqe, Huseyin Arslan

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

2 Citations (Scopus)

Abstract

Cognitive radio (CR) technology has always been a research hotspot in the wireless communications field as it has the potential to significantly improve system capacity at the cost of increased processing time and power consumption, which represent highly critical performance indicators (CPI) towards next-generation wireless networks. In particular, the main problem in the CR-based communication links resides in the prediction of spectrum availability in accordance with strict secondary user (SU) CPIs requirements, which is not achievable through the traditional approaches. In this work, we design a novel hierarchical spectrum prediction model, taking advantage from the recurrent neural network (RNN) with the focus on the gated recurrent unit network (GRU). Specifically, the proposed system architecture offers an accrue prediction on the spectrum availability for the SU considering the prior information of the primary user (PU). The performance of the proposed design is illustrated through extensive simulation results. Specifically, real spectrum measurements gathered from Doha, in Qatar are performed to assess the performance accuracy of the designed architecture. In particular different from the conventional scheme that uses a binary representation of spectrum occupancy (idle is '0' and occupied is '1'), we perform training and prediction over the minimum and maximum recorded measurements.

Original languageEnglish
Title of host publication2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages179-184
Number of pages6
ISBN (Electronic)9781665497497
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022 - Sofia, Bulgaria
Duration: 6 Jun 20229 Jun 2022

Publication series

Name2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022

Conference

Conference2022 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2022
Country/TerritoryBulgaria
CitySofia
Period6/06/229/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

ACKNOWLEDGMENT This publication was made possible by the NPRP award [NPRP12S-0225-190152] from the Qatar National Research Fund, a member of The Qatar Foundation. The statements made herein are solely the responsibility of the authors.

FundersFunder number
Qatar National Research Fund

    Keywords

    • Cognitive radio
    • deep learning
    • multidimensional signal analysis
    • spectrum measurement
    • spectrum occupancy

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