Throughput Maximization for RF Powered Cognitive NOMA Networks with Backscatter Communication by Deep Reinforcement Learning
S Guo, X Zhao, W Zhang - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
In this paper, we present a hybrid ambient backscatter communication (ABC) assisted
framework for radio frequency (RF) powered cognitive radio networks (CRNs). In these …
framework for radio frequency (RF) powered cognitive radio networks (CRNs). In these …
Throughput maximization for NOMA-based cognitive backscatter communication networks with imperfect CSI
Cognitive radio and backscatter communication (BackCom) have been viewed as two
promising technologies for the future green Internet of Things (IoT). The combination of …
promising technologies for the future green Internet of Things (IoT). The combination of …
Optimal resource allocation for RF-powered underlay cognitive radio networks with ambient backscatter communication
Y Zhuang, X Li, H Ji, H Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we study radio frequency (RF)-powered underlay cognitive radio networks
(CRNs) with power-domain non-orthogonal multiple access (NOMA). In these networks, by …
(CRNs) with power-domain non-orthogonal multiple access (NOMA). In these networks, by …
Sum rate maximization for RIS-assisted NOMA-enabled underlay AmBC-CR networks
Ambient backscatter communications (AmBC) have introduced a revolutionary approach to
wireless communication that utilizes ambient radio frequency (RF) signals in contrast to self …
wireless communication that utilizes ambient radio frequency (RF) signals in contrast to self …
Multiuser NOMA with multiple reconfigurable intelligent surfaces for backscatter communication in a symbiotic cognitive radio network
DKP Asiedu, JH Yun - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In this paper, we develop an optimization framework for the symbiotic operation of a
multiuser cognitive radio network (CRN) consisting of a non-orthogonal multiple access …
multiuser cognitive radio network (CRN) consisting of a non-orthogonal multiple access …
[HTML][HTML] Uplink NOMA-based long-term throughput maximization scheme for cognitive radio networks: an actor–critic reinforcement learning approach
HTH Giang, TNK Hoan, I Koo - Wireless Networks, 2021 - Springer
Non-orthogonal multiple access (NOMA) is one of the promising techniques for spectrum
efficiency in wireless networks. In this paper, we consider an uplink NOMA cognitive system …
efficiency in wireless networks. In this paper, we consider an uplink NOMA cognitive system …
No-pain no-gain: DRL assisted optimization in energy-constrained CR-NOMA networks
This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …
AoI-oriented Resource Allocation for NOMA-based Wireless Powered Cognitive Radio Networks based on Multi-agent Deep Reinforcement Learning
T He, Y Peng, Y Liu, H Song - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we study a wireless powered cognitive internet of things (IoT) network, where
cognitive radio (CR) and non-orthogonal multiple access (NOMA) technologies are …
cognitive radio (CR) and non-orthogonal multiple access (NOMA) technologies are …
Deep reinforcement learning-based multidimensional resource management for energy harvesting cognitive NOMA communications
The combination of energy harvesting (EH), cognitive radio (CR), and non-orthogonal
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
multiple access (NOMA) is a promising solution to improve energy efficiency and spectral …
Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints
Recently, the combination of cognitive radio networks with the nonorthogonal multiple
access (NOMA) approach has emerged as a viable option for not only improving spectrum …
access (NOMA) approach has emerged as a viable option for not only improving spectrum …
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