Spectrum management in high-speed railway cooperative cognitive radio network based on multi-agent reinforcement learning

C Wang, Q Wu, Z Tang, J Sheng… - … and Mobile Computing …, 2020 - ieeexplore.ieee.org
As the high-speed railway industry matures, higher requirements are put forward for the
railway wireless communication, and the demand for spectrum resources is also increasing …

Cooperative learning for spectrum management in railway cognitive radio network

C Wu, C Wang, J Sheng, Y Wang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
High-speed rail public broadband wireless access requires communication terminals with
high mobility to perform seamless cell switching in a harsh and fast time-varying …

Adaptive spectrum management of cognitive radio in intelligent transportation system

C Wu, YM Wang, X Qiang, ZY Zhang - Applied Mechanics and …, 2015 - Trans Tech Publ
With the rapid development of urban rail transit, the demand of the public in rail
transportationto take real-time, reliable and efficient wireless access services, has become …

Intelligent spectrum management based on reinforcement learning schemes in cooperative cognitive radio networks

A Kaur, K Kumar - Physical Communication, 2020 - Elsevier
Abstract Cognitive Radio (CR) and Cooperative Communication provide key technologies
for efficient utilization of available unused spectrum bands (called resources) to achieve a …

Bayesian-based distributed sequential decision in rail transit cognitive radio

C Wang, Y Wang, C Wu - Procedia Computer Science, 2018 - Elsevier
Wireless communication is an important part of key technology in modern rail transit. The
rapid trajectory of the train makes the wireless spectrum of rail transit environment instable …

Dynamic spectrum access in cognitive radio networks using deep reinforcement learning and evolutionary game

P Yang, L Li, J Yin, H Zhang, W Liang… - 2018 IEEE/CIC …, 2018 - ieeexplore.ieee.org
With the rapid development of wireless communication technology, the low utilization of
spectrum resources and the high demand for spectrum have always been an urgent and …

Reinforcement learning based anti-jamming cognitive radio channel selection

F Slimeni, Z Chtourou, AB Amor - 2020 4th International …, 2020 - ieeexplore.ieee.org
Dynamic spectrum management (DSM) models and cognitive radio (CR) technology are
presented as promising solutions to the spectrum scarcity and under-utilization problems …

Optimization of a Multi-criteria Cognitive Radio User Through Autonomous Learning

N Seghiri, MZ Baba-Ahmed, B Benmammar… - … , Intelligent Systems and …, 2021 - Springer
Dynamic and optimal management of radio spectrum congestion is becoming a major
problem in networking. Various factors can cause damage and interference between …

Deep reinforcement learning for resource allocation with network slicing in cognitive radio network

S Yuan, Y Zhang, W Qie, T Ma, S Li - Computer Science and …, 2021 - doiserbia.nb.rs
With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …

A cooperative spectrum sensing with multi-agent reinforcement learning approach in cognitive radio networks

A Gao, C Du, SX Ng, W Liang - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Cognitive radio networks (CRNs) can greatly improve the temporal and spatial spectrum
utilization by identifying and exploring spectrum holes of the licensed primary users (PUs) …