Cognitive Radio (CR) is an intelligent device equipped with a Cognitive Engine (CE)
capable of making decisions and finding the best policy for a dynamic network. Superior …

The most prominent challenge to the wireless community is to meet the demand for radio
resources. Cognitive Radio (CR) is envisioned as a potential solution that utilizes its …

With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …

Cognitive Radio (CR) is an adaptable communication device driven by a Cognitive Engine
(CE). A suitable machine-learning strategy can increase the learning potential of CE. This …

Abstract Cognitive Radio Networks are an emerging technology in for wireless
communication. With increasing number of wireless devices in wireless communication …

Nowadays, wireless communication system is facing the problems of spectrum resource
shortage. Cognitive radio technology allows cognitive users to use the spectrums authorized …

Deep reinforcement learning (DRL) has been successfully used for the joint routing and
resource management in large-scale cognitive radio networks. However, it needs lots of …

In a typical wireless powered cognitive radio network, secondary transmitters (STs) perform
energy harvesting when the channel is busy and perform active transmission using the …

Abstract In cognitive radio, Reinforcement Learning (RL) has been widely applied to the
construction of cognition engine. However, two crucial challenges remain to be resolved …

In this article, we propose a deep Q-learning based algorithm for optimal resource allocation
in energy harvested cognitive radio networks (EH-CRN). In EH-CRN, channel resources of …