This letter investigates a reconfigurable intelligent surface (RIS)-assisted overlay cognitive
radio network (CRN) that incorporates rate splitting multiple access (RSMA) and energy …

By harvesting energy from ambient radio frequency (RF) signals, significant progress has
been achieved in wireless networks self-maintaining their life cycles. Motivated by this and …

With the rapid proliferation of wireless devices, energy efficiency and addressing spectrum
scarcity have become critical global concerns. To address these challenges, this paper …

Cognitive radio (CR) and energy harvesting (EH) have been deemed two promising
technologies in the spectrum-scarce and energy-limited wireless networks. In this paper, the …

By harvesting energy from ambient radio frequency (RF) signals, significant progress has
been achieved in wireless networks self-maintaining their life cycles. Motivated by this and …

Cognitive radio networks (CRNs) with energy harvesting (EH) represent a promising
solution to improve the energy efficiency (EE) of wireless networks and alleviate the scarcity …

Cognitive radio networks (CRNs) are acknowledged for their ability to tackle the issue of
spectrum under-utilization. In the realm of CRNs, this paper investigates the energy …

In order to improve the utilization of available resources in wireless networks, this paper
studies the resource allocation problem of underlay cognitive wireless network based on …

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 …

This paper studies a green paradigm for the underlay coexistence of primary users (PUs)
and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs) …