Deep reinforcement learning-based distributed dynamic spectrum access in multi-user multi-channel cognitive radio internet of things networks

X Zhang, Z Chen, Y Zhang, Y Liu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Integrating cognitive radio into Internet of Things (IoT) is conducive to reducing spectrum
scarcity for large-scale IoT deployment, where a core technology is the design of spectrum …

Cooperative multi-agent reinforcement-learning-based distributed dynamic spectrum access in cognitive radio networks

X Tan, L Zhou, H Wang, Y Sun, H Zhao… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
With the development of wireless communication and Internet of Things (IoT), there are
massive wireless devices that need to share the limited spectrum resources. Dynamic …

A usage aware dynamic spectrum access scheme for interweave cognitive radio network by exploiting deep reinforcement learning

X Wang, Y Teraki, M Umehira, H Zhou, Y Ji - Sensors, 2022 - mdpi.com
Future-generation wireless networks should accommodate surging growth in mobile data
traffic and support an increasingly high density of wireless devices. Consequently, as the …

Distributed dynamic spectrum access through multi-agent deep recurrent Q-learning in cognitive radio network

MK Giri, S Majumder - Physical Communication, 2023 - Elsevier
This paper addresses the problem of distributed dynamic spectrum access in a cognitive
radio (CR) environment utilizing deep recurrent reinforcement learning. Specifically, the …

Dynamic spectrum access based on deep reinforcement learning for multiple access in cognitive radio

Z Li, X Liu, Z Ning - Physical Communication, 2022 - Elsevier
With the increasing shortage of spectrum resources, dynamic spectrum access (DSA)
technology is proposed to maximize the spectrum resources utilization. Traditional DSA …

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 …

Fast learning cognitive radios in underlay dynamic spectrum access: Integration of transfer learning into deep reinforcement learning

F Shah-Mohammadi… - 2020 Wireless …, 2020 - ieeexplore.ieee.org
Cognitive radio (CR) as a leading technology in realizing dynamic spectrum access (DSA)
offers a large efficiency and flexibility in the use of radio spectrum. The cognition feature …

A reinforcement learning approach to dynamic spectrum access in Internet-of-Things networks

H Cha, SL Kim - ICC 2019-2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
To support wireless communication traffic of Internet-of-Things (IoT) systems in terms of
massive connectivity, dynamic spectrum access (DSA) is important issue. This paper …

Deep recurrent reinforcement learning-based distributed dynamic spectrum access in multichannel wireless networks with imperfect feedback

A Kaur, J Thakur, M Thakur, K Kumar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This paper investigates Dynamic Spectrum Access (DSA) paradigm with imperfect feedback
for multiuser wireless network. Each user selects an orthogonal channel in particular time …

Dynamic multichannel sensing in cognitive radio: Hierarchical reinforcement learning

S Liu, J Wu, J He - IEEE Access, 2021 - ieeexplore.ieee.org
Efficient use of spectral resources is critical in wireless networks and has been extensively
studied in recent years. Dynamic spectrum access (DSA) is one of the key techniques on …