Deep reinforcement learning agents for dynamic spectrum access in television whitespace cognitive radio networks

Deep reinforcement learning agents for dynamic spectrum access in television whitespace cognitive radio networks

Businesses, security agencies, institutions, and individuals depend on wireless communication to run their day-to-day activities successfully. The ever-increasing demand for wireless communication services, coupled with the scarcity of available radio frequency spectrum, necessitates innovative appr...

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Bibliographic Details
Main Authors: Udeme C. Ukpong, Olabode Idowu-Bismark, Emmanuel Adetiba, Jules R. Kala, Emmanuel Owolabi, Oluwadamilola Oshin, Abdultaofeek Abayomi, Oluwatobi E. Dare
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Scientific African
Subjects:
Cognitive radio networks
Deep reinforcement learning
DQN
Dynamic spectrum access
QR-DQN
Television whitespace;RFRL gym
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227624004654
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