EDITORIAL article
Front. Commun. Netw.
Sec. Wireless Communications
This article is part of the Research TopicMachine Learning-Based Spectrum Occupancy Prediction and Resource Allocation/Management for Wireless Communication SystemsView all 5 articles
Editorial: Machine Learning-Based Spectrum Occupancy Prediction and Resource Allocation/Management for Wireless Communication Systems
Provisionally accepted
- 1Istanbul Technical University, Istanbul, Türkiye
- 2Bogazici Universitesi, Istanbul, Türkiye
- 3Ozyegin Universitesi, Istanbul, Türkiye
- 4National Institute of Technology Durgapur, Durgapur, India
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Keywords: Cognitive Radio, machine learning, resource allocation and management, spectrum occupancy prediction, Spectrum opportunities, wireless communications
Received: 30 Nov 2025; Accepted: 08 Dec 2025.
Copyright: © 2025 Aygul, Yilmaz, Ates and Roy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mehmet Ali Aygul
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.