Computation offloading and resource allocation in NOMA-MEC: A deep reinforcement learning approach

C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …

Reinforcement learning-based NOMA power allocation in the presence of smart jamming

L Xiao, Y Li, C Dai, H Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) systems are vulnerable to jamming attacks,
especially smart jammers who apply programmable and smart radio devices such as …

The role of deep learning in NOMA for 5G and beyond communications

MK Hasan, M Shahjalal, MM Islam… - … in Information and …, 2020 - ieeexplore.ieee.org
In the coming future, it is obvious that the wireless networks will be congested with massive
amounts of data traffic with the increasing number of users. Current multiple access …

Joint channel estimation and multiuser detection for uplink grant-free NOMA

Y Du, B Dong, W Zhu, P Gao, Z Chen… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access is an emerging research topic in machine-type
communications, which is used to reduce signaling overhead. In this context, this letter …

Resource management in non-orthogonal multiple access networks for 5G and beyond

L Song, Y Li, Z Ding, HV Poor - IEEE Network, 2017 - ieeexplore.ieee.org
Non-orthogonal multiple access techniques have been proposed recently for 5G wireless
systems and beyond to improve access efficiency by allowing many users to share the same …

A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks

O Maraqa, AS Rajasekaran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The ambitious high data-rate applications in the envisioned future beyond fifth-generation
(B5G) wireless networks require new solutions, including the advent of more advanced …

Deep learning-based sum data rate and energy efficiency optimization for MIMO-NOMA systems

H Huang, Y Yang, Z Ding, H Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The increasing demands for massive connectivity, low latency, and high reliability of future
communication networks require new techniques. Multiple-input-multiple-output non …

RIS-aided ground-aerial NOMA communications: A distributionally robust DRL approach

J Zhao, L Yu, K Cai, Y Zhu, Z Han - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
A reconfigurable intelligent surface (RIS) aided air-to-ground uplink non-orthogonal
transmission framework is investigated for next generation multiple access. Occupying the …

[HTML][HTML] Energy efficiency maximization for beyond 5G NOMA-enabled heterogeneous networks

WU Khan, X Li, A Ihsan, Z Ali, BM Elhalawany… - Peer-to-Peer Networking …, 2021 - Springer
Non-orthogonal multiple access (NOMA) is expected to play a critical role in heterogeneous
networks (HetNets) for beyond fifth-generation (5G) wireless systems. The unrivaled benefits …

Resource allocation for downlink NOMA systems: Key techniques and open issues

SMR Islam, M Zeng, OA Dobre… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
This article presents advances in resource allocation for downlink non-orthogonal multiple
access (NOMA) systems, focusing on user pairing and power allocation algorithms. The …