A tutorial on AI-powered 3D deployment of drone base stations: State of the art, applications and challenges
Deploying uncrewed aerial vehicles (UAVs) as aerial base stations (BSs) to assist terrestrial
connectivity has drawn significant attention in recent years. Alongside other UAV types …
connectivity has drawn significant attention in recent years. Alongside other UAV types …
QoS aware resource allocation for coexistence mechanisms between eMBB and URLLC: Issues, challenges, and future directions in 5G
Abstract 5G NR enables three types of use case scenarios viz. enhance mobile broadband
(eMBB), ultra-reliable low latency communication (URLLC), and massive machine type …
(eMBB), ultra-reliable low latency communication (URLLC), and massive machine type …
A comprehensive study on the role of machine learning in 5G security: challenges, technologies, and solutions
Fifth-generation (5G) mobile networks have already marked their presence globally,
revolutionizing entertainment, business, healthcare, and other domains. While this leap …
revolutionizing entertainment, business, healthcare, and other domains. While this leap …
New trends and advancement in next generation mobile wireless communication (6G): a survey
As the commercial implementations of 5G networks have been initiated in different regions
of the world, the focus of the researchers is bending towards the next generation of wireless …
of the world, the focus of the researchers is bending towards the next generation of wireless …
Deep Learning‐Based Solutions for 5G Network and 5G‐Enabled Internet of Vehicles: Advances, Meta‐Data Analysis, and Future Direction
MS Almutairi - Mathematical Problems in Engineering, 2022 - Wiley Online Library
The advent of the 5G mobile network has brought a lot of benefits. However, it prompted new
challenges on the 5G network cybersecurity defense system, resource management …
challenges on the 5G network cybersecurity defense system, resource management …
A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks
Resource management in the next-generation vehicle-to-everything (V2X) communication
networks is a demanding research problem. It is difficult to achieve the best results if the …
networks is a demanding research problem. It is difficult to achieve the best results if the …
Double deep q-network method for energy efficiency and throughput in a uav-assisted terrestrial network
Increasing the coverage and capacity of cellular networks by deploying additional base
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
Energy efficiency and throughput maximization using millimeter waves–microwaves HetNets
The deployment of millimeter waves can fulfil the stringent requirements of high bandwidth
and high energy efficiency in fifth generation (5G) networks. Still, millimeter waves …
and high energy efficiency in fifth generation (5G) networks. Still, millimeter waves …
The research of resource allocation method based on GCN-LSTM in 5G network
X Gao, J Wang, M Zhou - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
To achieve higher performance of allocation resources in the densely distributed scene of
5G networks, resources can be allocated considering the communication traffic of different …
5G networks, resources can be allocated considering the communication traffic of different …
High-Speed Train Positioning Using Improved Extended Kalman Filter With 5G NR Signals
T Wen, H Jiang, B Cai, C Roberts - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the integration of 5G NR (New Radio) into railway systems, the demand for enhanced
positioning and trajectory tracking performance in High-Speed Train (HST) networks has …
positioning and trajectory tracking performance in High-Speed Train (HST) networks has …