In this paper, a reinforcement learning technique is employed to maximize the performance
of a cognitive radio network (CRN). In the presence of primary users (PUs), it is presumed …

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 …

A three‐dimensional continuous‐time Markov model is proposed for an energy harvesting
cognitive radio system, where each secondary user (SU) harvests energy from the ambient …

In this paper, an underlay cognitive radio network with energy harvesting is considered
which works in slotted mode. SU decides to transmit data or harvest energy from …

A wideband cognitive radio network relying on energy harvesting is studied under a
practically non-linear energy harvesting model. In order to efficiently exploit the harvesting …

Abstract In an Energy Harvested Cognitive Radio Networks (EH-CRN), Primary user (PU)
and Secondary User (SU) networks share channel resources. Energy harvesting allows …

The newly emerging energy-harvesting cognitive radio networks (EH-CRNs) have drawn
significant research interests in the fields of spectrum reuse and lifetime prolongation. This …

How to achieve energy-efficient transmission in radio frequency energy harvesting cognitive
radio network (RF-CRN) is of great importance when nodes in CRN are self-maintained …

Recently in wireless networks, spectrum scarcity and energy consumption are becoming
important issues. Radio Frequency Energy Harvesting Cognitive Radio (RF-EH-CR) …

Drastic development in the wireless communication systems is leading to the issue of
spectrum scarcity and to resolve this issue, cognitive radio (CR) is emerging as one of the …