In this paper, a multi-agent deep reinforcement learning method was adopted to realize
cooperative spectrum sensing in cognitive radio networks. Each secondary user learns an …

Abstract Vehicular Ad hoc Networks (VANETs) is an essential part of Intelligent
Transportation System (ITS), which aims to improve the road safety. However, the main …

In cognitive radio networks, an important issue is to share the detected available spectrum
among different secondary users to improve the network performance. Although some work …

This paper considers the problem of Dynamic Spectrum Access (DSA) with partial
observations under the cognitive radio framework. It is the heart of the matter for improving …

In vehicular ad-hoc network (VANET), the reliability of communication is associated with
driving safety. However, research shows that the safety-message transmission in VANET …

Dynamic spectrum access (DSA) based on cognitive radios (CR) technique is an effective
approach to address the" spectrum scarcity" issue. However, traditional CR-enabled DSA …

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

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

Cognitive Radio enables secondary users (SUs) to access communication channels
allocated to primary users (PUs). As prior knowledge of the channel characteristics is not …

With the rising demand for spectrum and the emergence of advanced communication
systems, there is a critical requirement for more efficient and streamlined approaches to …