Deep reinforcement learning-based optimization for IRS-assisted cognitive radio systems
In this paper, we consider an intelligent reflecting surface (IRS)-assisted cognitive radio
system and maximize the secondary user (SU) rate by jointly optimizing the transmit power …
system and maximize the secondary user (SU) rate by jointly optimizing the transmit power …
Reinforcement learning approach for RF-powered cognitive radio network with ambient backscatter
For an RF-powered cognitive radio network with ambient backscattering capability, while the
primary channel is busy, the RF-powered secondary user (RSU) can either backscatter the …
primary channel is busy, the RF-powered secondary user (RSU) can either backscatter the …
Resource allocation for intelligent reflecting surface-assisted cognitive radio networks
In this paper, we investigate resource allocation algorithm design for intelligent reflecting
surface (IRS)-assisted multiuser cognitive radio (CR) systems. In particular, an IRS is …
surface (IRS)-assisted multiuser cognitive radio (CR) systems. In particular, an IRS is …
Robust beamforming design for intelligent reflecting surface aided cognitive radio systems with imperfect cascaded CSI
In this paper, intelligent reflecting surface (IRS) is introduced to enhance the network
performance of cognitive radio (CR) systems. Specifically, we investigate robust …
performance of cognitive radio (CR) systems. Specifically, we investigate robust …
Deep learning-inspired message passing algorithm for efficient resource allocation in cognitive radio networks
M Liu, T Song, J Hu, J Yang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Energy efficiency (EE) and spectrum efficiency (SE) have received significant attentions on
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …
optimizing the network performance in cognitive radio networks. In this paper, an EE+ SE …
Deep reinforcement learning for robust beamforming in IRS-assisted wireless communications
Intelligent reflecting surface (IRS) is a promising technology to assist downlink information
transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we …
transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we …
Deep reinforcement learning based resource allocation for narrowband cognitive radio-IoT systems
Abstract Narrowband Internet-of-Things (NB-IoT) is a low-power wide area (LPWA)
technology developed by the Third-generation Partnership Project (3GPP) with objective to …
technology developed by the Third-generation Partnership Project (3GPP) with objective to …
Intelligent reflecting surface (IRS)-enhanced cognitive radio system
Cognitive radio (CR) is an effective solution to increase the spectral efficiency (SE) of
wireless communications by allowing the secondary users (SUs) to share the spectrum with …
wireless communications by allowing the secondary users (SUs) to share the spectrum with …
Energy-efficient resource allocation in cognitive radio networks under cooperative multi-agent model-free reinforcement learning schemes
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 …
resources. Cognitive Radio (CR) is envisioned as a potential solution that utilizes its …
Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey
NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …
technology and machine learning (ML), where intelligent networks can provide pervasive …