AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

A survey of scheduling in 5g urllc and outlook for emerging 6g systems

ME Haque, F Tariq, MRA Khandaker, KK Wong… - IEEE …, 2023 - ieeexplore.ieee.org
Future wireless communication is expected to be a paradigm shift from three basic service
requirements of 5th Generation (5G) including enhanced Mobile Broadband (eMBB), Ultra …

RAN resource slicing in 5G using multi-agent correlated Q-learning

H Zhou, M Elsayed… - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number
of novel services, ranging from remote health care to smart cities. However, heterogeneous …

Reinforcement learning based dynamic function splitting in disaggregated green open RANs

T Pamuklu, M Erol-Kantarci… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
With the growing momentum around Open RAN (O-RAN) initiatives, performing dynamic
Function Splitting (FS) in disaggregated and virtualized Radio Access Networks (vRANs), in …

Learning from peers: Deep transfer reinforcement learning for joint radio and cache resource allocation in 5G RAN slicing

H Zhou, M Erol-Kantarci, HV Poor - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …

An innovative machine-learning-based scheduling solution for improving live UHD video streaming quality in highly dynamic network environments

IS Comşa, GM Muntean… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The latest advances in terms of network technologies open up new opportunities for high-
end applications, including using the next generation video streaming technologies. As …

Joint dynamic spectrum allocation for URLLC and eMBB in 6 G networks

N Chen, Z Cheng, Y Zhao, L Huang… - … on Network Science …, 2023 - ieeexplore.ieee.org
6 G is a further evolution and development of 5 G to meet the need of various emerging
applications of multifarious user equipment (UE). Ultra-reliable and low-latency …

Energy-efficient and delay-guaranteed joint resource allocation and du selection in o-ran

T Pamuklu, S Mollahasani… - 2021 IEEE 4th 5G World …, 2021 - ieeexplore.ieee.org
The radio access network (RAN) part of the next-generation wireless networks will require
efficient solutions for satisfying low latency and high-throughput services. The open RAN (O …

Power minimization of downlink spectrum slicing for eMBB and URLLC users

F Saggese, M Moretti, P Popovski - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
5G technology allows heterogeneous services to share the wireless spectrum within the
same radio access network. In this context, spectrum slicing of the shared radio resources is …

Artificial Intelligence Integrated with 5G for Future Wireless Networks

V Gunturu, J Ranga, CR Murthy… - 2023 International …, 2023 - ieeexplore.ieee.org
Artificial intelligence and fifth-generation mobile networks (5G) are two of the few
technologies that work together so effectively. The complexity of a 5G ecosystem …