Infrastructure based spectrum sensing scheme in VANET using reinforcement learning

C Chembe, D Kunda, I Ahmedy, RM Noor… - Vehicular …, 2019 - Elsevier
Spectrum sensing is one of the fundamental functionality performed by a cognitive radio to
identify vacant radio spectrum for dynamic spectrum access (DSA). However, there are …

Spectrum sensing in cognitive vehicular network: State-of-Art, challenges and open issues

C Chembe, RM Noor, I Ahmedy, M Oche… - Computer …, 2017 - Elsevier
Abstract Vehicular Ad Hoc Network (VANET) is envisaged to play an important role in the
safety of drivers and passengers when moving on the roads. However, VANET still faces …

Q-learning-based spectrum access for content delivery in mobile networks

Z Su, M Dai, Q Xu, R Li, S Fu - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
By the wide development of wireless communication technology, mobile networks are
becoming the promising paradigm for mobile users to access the Internet to download …

Distributed reinforcement learning for dynamic spectrum allocation in cognitive radio‐based internet of things

J Elhachmi - IET Networks, 2022 - Wiley Online Library
Cognitive Radio (CR) with other advancements such as the Internet of things and machine
learning has recently emerged as the main involved technique to use spectrum in an …

Research on Distributed Dynamic Spectrum Access Based on Deep Reinforcement Learning

Y Liu, X Zhang, S Wang - International Conference in Communications …, 2023 - Springer
Abstract Dynamic Spectrum Access (DSA) is a critical technology for Cognitive Wireless
Sensor Network (CWSN). The main challenge of DSA is how Secondary Users (SUs) can …

Cooperative spectrum management in cognitive vehicular ad hoc networks

M Di Felice, KR Chowdhury… - 2011 IEEE vehicular …, 2011 - ieeexplore.ieee.org
In recent years, Cognitive Radio (CR) technology has received significant attention from the
research community as it enables on-demand spectrum utilization, based on the requests of …

Connectivity probability analysis for green cooperative cognitive vehicular networks

X Li, R Zhou, T Zhou, L Liu, K Yu - IEEE Transactions on Green …, 2022 - ieeexplore.ieee.org
To meet the increasing demands of green communications for vehicular services, cognitive
vehicular networks (CVNs) are expected to improve spectrum efficiency via cognitive radio …

Machine-learning-based opportunistic spectrum access in cognitive radio networks

P Zhu, J Li, D Wang, X You - IEEE Wireless Communications, 2020 - ieeexplore.ieee.org
The explosive growth of wireless devices and data rate demands makes spectrum scarcity a
serious problem. A promising solution is to employ OSA, which enables SUs to seek and …

[引用][C] Resource Allocation in Dynamic Spectrum Access Using Deep Reinforcement Learning and Meta Learning

N Mishra, S Srivastava, SN Sharan - Available at SSRN 4040779

Performance analysis of cooperative spectrum sensing in cognitive vehicular networks with dense traffic

S Zhu, C Guo, C Feng, X Liu - 2016 IEEE 83rd Vehicular …, 2016 - ieeexplore.ieee.org
Cognitive Radio (CR) is a promising technology to solve the spectrum scarcity. Spectrum
sensing becomes more challenging in Cognitive Vehicular Networks (CVNs) due to …