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
… and accessing the spectrum quickly. This study presents a distributed dynamic spectrum
access (… deep echo state Q-network (PER-DESQN) for CRIoT networks with multiple users and …

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
wireless network). We study the uplink spectrum access problem of cognitive users in a
time-… channel hopping cognitive radio network, in which the scattered cognitive users transmit …

Dynamic multichannel sensing in cognitive radio: Hierarchical reinforcement learning

S Liu, J Wu, J He - IEEE Access, 2021 - ieeexplore.ieee.org
Dynamic spectrum access (DSA) is one of the key techniques on utilizing the … , we propose
a dynamic multi-channel sensing model based on the hierarchical deep Q-network (h-DQN), …

Low-complexity learning for dynamic spectrum access in multi-user multi-channel networks

S Kang, C Joo - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
access can improve the spectrum utilization [3], [4]. We consider multi-user multi-channel
We consider a cognitive radio network of N (secondary) users and K orthogonal channels …

Dynamic multiobjective approach for power and spectrum allocation in cognitive radio networks

CL Chuang, WY Chiu, YC Chuang - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
… and XS Shen, “Dynamic spectrum access in multi-channel cognitive radio networks,” IEEE
J… Hamdi, “Dynamic spectrum sharing with multiple primary and secondary users,” IEEE Trans. …

[HTML][HTML] Performance analysis of centralized dynamic spectrum access via channel reservation mechanism in cognitive radio networks

NM El Azaly, EF Badran, HN Kheirallah… - Alexandria Engineering …, 2021 - Elsevier
cognitive radio networks (CRNs) based on dynamic spectrum access (DSA) is proposed.
In this scheme, a centralized cognitive manager (CCM) provides the dynamic coordination …

A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error

L Chen, K Fu, Q Zhao, X Zhao - Physical Communication, 2022 - Elsevier
… In this section, the dynamic spectrum access problem with different SVs is discussed in
CR-VANETs. We consider a CR-VANETs with 22 channels and 10 SVs, we assume p f = 0.2 for …

A double auction framework for multi-channel multi-winner heterogeneous spectrum allocation in cognitive radio networks

M Devi, N Sarma, SK Deka - IEEE Access, 2021 - ieeexplore.ieee.org
Cognitive Radio (CR) [2], [3]. To efficiently redistribute the radio resource, CR uses dynamic
spectrum access (DSA) techniques [4] which initially senses for spectrum holes and then …

A multi-stage resource-constrained spectrum access mechanism for cognitive radio IoT networks: Time-spectrum block utilization

M Aloqaily, HB Salameh, I Al Ridhawi, K Batieha… - Future Generation …, 2020 - Elsevier
… of the spectrum bandwidth. Multi-channel cognitive radio networks as well as Information
Centric … (CRN) is based on the idea of Dynamic Spectrum Access (DSA), where CR users can …

Multichannel spectrum access based on reinforcement learning in cognitive internet of things

C Sun, H Ding, X Liu - Ad Hoc Networks, 2020 - Elsevier
… and dynamic spectrum access, was proposed in [11], which … Because in the multi-channel
model, when the data transmission in … interests focus on cognitive radio and spectrum access. …