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 …
Energy efficiency optimization for NOMA-based cognitive radio with energy harvesting
X Wang, Z Na, KY Lam, X Liu, Z Gao, F Li… - IEEE access, 2019 - ieeexplore.ieee.org
Energy Efficiency (EE) is a significant problem for Cognitive Radio (CR) network. Recently,
more interest has focused on EE optimization problem in wireless-powered communication …
more interest has focused on EE optimization problem in wireless-powered communication …
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 …
Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access
framework for short-packet internet-of-things (IoT) networks to enhance connectivity …
framework for short-packet internet-of-things (IoT) networks to enhance connectivity …
Hybrid NOMA/OMA-based dynamic power allocation scheme using deep reinforcement learning in 5G networks
Non-orthogonal multiple access (NOMA) is considered a potential technique in fifth-
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …
generation (5G). Nevertheless, it is relatively complex when applying NOMA to a massive …
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 …
Deep learning based power optimizing for NOMA based relay aided D2D transmissions
The future generation of wireless communication networks demands for high spectral
efficiency to accommodate a large number of devices over the limited available frequency …
efficiency to accommodate a large number of devices over the limited available frequency …
DRL-based energy-efficient resource allocation frameworks for uplink NOMA systems
X Wang, Y Zhang, R Shen, Y Xu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) is one of the promising technologies to meet the
huge access demand and high data-rate requirements of the next-generation networks. In …
huge access demand and high data-rate requirements of the next-generation networks. In …
Energy-efficient resource allocation in uplink NOMA systems with deep reinforcement learning
Y Zhang, X Wang, Y Xu - 2019 11th international conference …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is regarded as a promising technology to satisfy
the huge access demand and data rate requirements of the next generation network. In this …
the huge access demand and data rate requirements of the next generation network. In this …
Energy-efficient opportunistic multi-carrier NOMA-based resource allocation for beyond 5G (B5G) networks
The interplay between the non-orthogonal multiple access (NOMA) and the opportunistic
cognitive radio (CR)-based orthogonal frequency multiple access (OFDMA) has been …
cognitive radio (CR)-based orthogonal frequency multiple access (OFDMA) has been …