A review of spectrum sensing techniques based on machine learning

A Rojas, GJ Dolecek - … of Information Science and Technology, Sixth …, 2025 - igi-global.com
This article presents a survey of current spectrum sensing (SS) research involving the
application of image processing and deep learning techniques. This document includes …

Dynamic spectrum access for Internet-of-Things with joint GNN and DQN

F Li, J Yang, KY Lam, B Shen, G Wei - Ad Hoc Networks, 2024 - Elsevier
With the rapid growth in access demand for Internet of Things (IoT) devices, effective
utilization of spectrum resource has become a key challenge to ensure reliable …

Optimal Spectral Allocation in Citizens Broadband Radio Service

Z Hoobakht, H Gangammanavar… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper introduces a deterministic optimization framework for spectrum resource
allocation, primarily focusing on the Citizens Broadband Radio Service (CBRS). The …

VisSpecDic: Visual Analysis of Spectrum Situation Data Based on Density Incremental Clustering

C Xunchao, H **yue, Z Zhengguo… - 2024 7th …, 2024 - ieeexplore.ieee.org
The omnipresence of wireless communication highlights the importance of efficient radio
spectrum management. Traditional monitoring, based on spectral analysis, is challenged by …

A Spectrum Sharing System: A Comparison of DDPMs and GANs for Visualized Interference Classification with CNN

AS Gamage, SL Kim - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Due to the scarcity of allocatable wireless spectrum resources, the need for spectrum-
sharing algorithms is increasing rapidly. However, the lack of collision data in the Citizens …