Channel Allocation to GAA Users Using Double Deep Recurrent Q-Learning Based on Double Auction Method

W Abbass, R Hussain, N Abbas, SA Malik… - IEEE …, 2023 - ieeexplore.ieee.org
The SAS-CBRS framework is being tested to share the federally held spectrum with licensed
users and opportunistic users to maximize the underutilized spectrum's utility and overcome …

User correlation and double threshold based cooperative spectrum sensing in dense cognitive vehicular networks

S Zhu, C Guo, C Feng, X Liu - 2016 International Symposium …, 2016 - ieeexplore.ieee.org
Spectrum scarcity is becoming increasingly serious in vehicular networks due to the
deployment of the Intelligent Transportation System. Cognitive Radio (CR) is a promising …

Traffic Priority-Aware Multi-User Distributed Dynamic Spectrum Access: A Multi-Agent Deep RL Approach

S Zhang, Z Ni, L Kuang, C Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Real-time information exchange on traffic and channel selection results among users in
dynamic spectrum access (DSA) system consumes scarce spectrum resources. However, it …

Deep reinforcement learning approach to QoE-driven resource allocation for spectrum underlay in cognitive radio networks

F Shah-Mohammadi… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper presents a deep reinforcement learning-based technique for cognitive radio
underlay dynamic spectrum access (DSA) that performs distributed joint multi-resource …

Intelligent Spectrum Sensing and Resource Allocation in Cognitive Networks via Deep Reinforcement Learning

DC Nguyen, DJ Love, CG Brinton - ICC 2023-IEEE International …, 2023 - ieeexplore.ieee.org
Opportunistic spectrum access is a viable technique for cognitive radio (CR) networks to
address the spectrum scarcity problem, where both spectrum sensing and resource …

RDRL: A recurrent deep reinforcement learning scheme for dynamic spectrum access in reconfigurable wireless networks

M Chen, A Liu, W Liu, K Ota, M Dong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reconfigurable wireless network can flexibly provide efficient spectrum access service and
keep stable operation in highly dynamic environment. In this paper, a primary-prioritized …

Exploiting temporal and spatial diversities for spectrum sensing and access in cognitive vehicular networks

Y Liu, S Xie, R Yu, Y Zhang, X Zhang… - … and Mobile Computing, 2015 - Wiley Online Library
In cognitive vehicular networks (CVNs), spectrum sensing and access are introduced as the
promising technologies to fully exploit the underutilized licensed spectrum. Because the …

Multi-agent reinforcement learning-based decentralized spectrum access in vehicular networks with emergent communication

P Xiang, H Shan, Z Su, Z Zhang… - IEEE Communications …, 2022 - ieeexplore.ieee.org
In this letter, we propose a novel decentralized spectrum access algorithm based on the
multi-agent reinforcement learning (MARL) for cellular vehicle-to-everything (C-V2X) …

Efficient spectrum utilization on TV band for cognitive radio based high speed vehicle network

T Jiang, Z Wang, L Zhang, D Qu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
It is well known that broadband wireless communications (BWC) are necessary for high
speed vehicles since passengers need many broadband wireless multimedia services …

Weighted Adaptive Spectrum Sensing for Cognitive Vehicular Networks

K Jyostna, T Penmetsa… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Vehicular Network is an advanced application which enables smarter management of traffic
and ensures safer, and more coordinated travel. The US Federal Communication …