URLLC and eMBB in 5G industrial IoT: A survey

BS Khan, S Jangsher, A Ahmed… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
Fifth generation (5G)-industrial Internet of things (IIoT) is the integration of IIoT and a private
5G network. The IIoT is a concept that involves incorporating smart objects, gadgets, and …

NOMA-based vlc systems: a comprehensive review

SAH Mohsan, M Sadiq, Y Li, AV Shvetsov… - Sensors, 2023 - mdpi.com
The enhanced proliferation of connected entities needs a deployment of innovative
technologies for the next generation wireless networks. One of the critical concerns …

Evolution of NOMA toward next generation multiple access (NGMA) for 6G

Y Liu, S Zhang, X Mu, Z Ding, R Schober… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Due to the explosive growth in the number of wireless devices and diverse wireless
services, such as virtual/augmented reality and Internet-of-Everything, next generation …

Non-orthogonal multiple access assisted federated learning via wireless power transfer: A cost-efficient approach

Y Wu, Y Song, T Wang, L Qian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …

NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation

Y Wu, K Ni, C Zhang, LP Qian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …

Spectral efficiency optimization for next generation NOMA-enabled IoT networks

WU Khan, J Liu, F Jameel, V Sharma… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) is a rapidly emerging paradigm with the capability
to improve the spectral efficiency of data-driven, intelligence inspired, and highly digitized …

Power control based on deep reinforcement learning for spectrum sharing

H Zhang, N Yang, W Huangfu, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …

Deep learning based radio resource management in NOMA networks: User association, subchannel and power allocation

H Zhang, H Zhang, K Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of future wireless communication, the combination of NOMA
technology and millimeter-wave (mmWave) technology has become a research hotspot. The …

Energy efficiency optimization for NOMA UAV network with imperfect CSI

H Zhang, J Zhang, K Long - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are developing rapidly owing to flexible deployment and
access services as air base stations. However, the channel errors of low-altitude …

Performance analysis of FD-NOMA-based decentralized V2X systems

D Zhang, Y Liu, L Dai, AK Bashir… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In order to meet the requirements of massively connected devices, different quality of
services (QoS), various transmit rates, and ultra-reliable and low latency communications …