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 …

With the increasing shortage of spectrum resources, dynamic spectrum access (DSA)
technology is proposed to maximize the spectrum resources utilization. Traditional DSA …

This paper details the practical design of a Cognitive Radio network which uses multi-agent
Deep Reinforcement Learning for dynamic spectrum access. Each network node evaluates …

This paper presents a deep reinforcement learning-based technique for cognitive radio
underlay dynamic spectrum access (DSA) that performs distributed joint multi-resource …

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 …

Cognitive radio networks (CRNs) implementing spectrum sharing between primary and
secondary users are able to provide a needed solution for the increasing spectrum scarcity …

This paper addresses the problem of distributed dynamic spectrum access in a cognitive
radio (CR) environment utilizing deep recurrent reinforcement learning. Specifically, the …

In this paper, we propose to use deep reinforcement learning (DRL) for the task of
cooperative spectrum sensing (CSS) in a cognitive radio network. We selected a recently …

Reinforcement learning (RL) has proven to be an effective approach for achieving
intelligence in Cognitive Radio (CR). Through interactions with the environment, RL enables …

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 …