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 …
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 …
technologies for the next generation wireless networks. One of the critical concerns …
Evolution of NOMA toward next generation multiple access (NGMA) for 6G
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 …
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
Federated learning (FL) has been considered as a promising paradigm for enabling
distributed training/learning in many machine-learning services without revealing users' …
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
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 …
their computation-workloads to the computation-servers located at the edge of cellular …
Spectral efficiency optimization for next generation NOMA-enabled IoT networks
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 …
to improve the spectral efficiency of data-driven, intelligence inspired, and highly digitized …
Power control based on deep reinforcement learning for spectrum sharing
In the current researches, artificial intelligence (AI) plays a crucial role in resource
management for the next generation wireless communication network. However, traditional …
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 …
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 …
access services as air base stations. However, the channel errors of low-altitude …
Performance analysis of FD-NOMA-based decentralized V2X systems
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 …
services (QoS), various transmit rates, and ultra-reliable and low latency communications …