Deep Learning-Based Resource Allocation for Transmit Power Minimization in Uplink NOMA IoT Cellular Networks

HJ Park, HW Kim, SH Chae - IEEE Transactions on Cognitive …, 2023 - ieeexplore.ieee.org
For Internet of Things (IoT) networks, it is important to develop energy-efficient
communication schemes to extend the operating life of battery-powered IoT devices …

Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning

M Fayaz, W Yi, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

A Deep Q-Learning Bisection Approach for Power Allocation in Downlink NOMA Systems

MJ Youssef, CA Nour, X Lagrange… - IEEE Communications …, 2021 - ieeexplore.ieee.org
In this work, we study the weighted sum-rate maximization problem for a downlink non-
orthogonal multiple access (NOMA) system. With power and data-rate constraints, this …

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 …

Device Access, Sub-Channel Division, and Transmission Power Allocation for NOMA-Enabled IoT Systems

J Zhang, H Zheng, Z Chen, X Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), it is a promising way to improve system energy utility
and better meet users' requirements for Quality of Service (QoS) via integrating …

Energy-efficient user scheduling and power allocation for NOMA-based wireless networks with massive IoT devices

D Zhai, R Zhang, L Cai, B Li… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) exhibits superiority in spectrum efficiency and
device connections in comparison with the traditional orthogonal multiple access …

User selection and power allocation scheme with SINR-based deep learning for downlink NOMA

D Kim, H Jung, IH Lee - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Innon-orthogonal multiple access (NOMA) systems, transmit power allocation plays a crucial
role in maximizing the sum rate, while satisfying quality of service requirements of users. In …

Energy-efficient power allocation in downlink multi-cell multi-carrier NOMA: Special deep neural network framework

ABM Adam, Z Wang, X Wan, Y Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Energy-efficient resource allocation for multi-cell multi-carrier non-orthogonal multiple
access (MCMC-NOMA) is a challenging task due to the interference and other related …

Joint minimization of transmission energy and computation energy for MEC-aware NOMA NB-IoT networks

LP Qian, Z Zhu, N Yu, Y Wu - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In recent years, the 3rd generation partnership project (3GPP) has approved the
narrowband Internet of Things (NB-IoT) system to support the low-data-rate machine-type …

Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC

M Liu, T Song, G Gui - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile
networks and the smart cities. However, considering the large numbers of connectivity …