SoftDrone: Softwarized 5G assisted drone networks for dynamic resource sharing using machine learning techniques
The concept of a programmable network instantiates dedicated network slices for
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
How to Allocate Resources in Cloud Native Networks Towards 6G
The cloud native computing is a promising solution for optimizing mobile networks, as it can
improve the networks' flexibility and scalability. However, it also brings new challenges to …
improve the networks' flexibility and scalability. However, it also brings new challenges to …
Towards intelligent virtual resource allocation in UAVs-assisted 5G networks
H Cao, Y Hu, L Yang - Computer Networks, 2021 - Elsevier
With the aim of providing novel services and applications having high data rate and low
latency, the 5G networks are designed. Thus, it is essential to manage and schedule the …
latency, the 5G networks are designed. Thus, it is essential to manage and schedule the …
Deep-Learning-Based Concurrent Resource Allocation Method for Improving the Service Response of 6G Network-in-Box Users in UAV
G Manogaran, J Ngangmeni, J Stewart… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Network-in-box (NIB) architectures are designed to improve communication information
sharing in an ad hoc manner with limited infrastructure support. These architectures are …
sharing in an ad hoc manner with limited infrastructure support. These architectures are …
Predictive UAV base station deployment and service offloading with distributed edge learning
In modern networks, edge computing will be responsible for processing and learning from
the critical network-and user-generated data, such as wireless link usage, mobility …
the critical network-and user-generated data, such as wireless link usage, mobility …
Federated deep reinforcement learning-based intelligent dynamic services in UAV-assisted mec
Unmanned aerial vehicles (UAVs)-assisted multiaccess edge computing (MEC) has
emerged as a promising solution in B5G/6G networks. The high flexibility and seamless …
emerged as a promising solution in B5G/6G networks. The high flexibility and seamless …
Design of a 5G network slice extension with MEC UAVs managed with reinforcement learning
G Faraci, C Grasso, G Schembra - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Network slices for delay-constrained applications in 5G systems require computing facilities
at the edge of the network to guarantee ultra-low latency in processing data flows generated …
at the edge of the network to guarantee ultra-low latency in processing data flows generated …
A novel framework of federated and distributed machine learning for resource provisioning in 5g and beyond using mobile-edge scbs
The future needs of the telecommunication system lie in deploying a heterogeneous ultra-
dense network with varied topographical use cases. However, this increase in ultra …
dense network with varied topographical use cases. However, this increase in ultra …
Utilizing network function virtualization for drone-based networks
M Alharthi, AEM Taha… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
The emerging use of drones to support communication infrastructure and to deploy
temporary networks in emergency scenarios is under active research. In this paper, we …
temporary networks in emergency scenarios is under active research. In this paper, we …
Software-defined network based resource allocation in distributed servers for unmanned aerial vehicles
RM Shukla, S Sengupta… - 2018 IEEE 8th Annual …, 2018 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are gaining a lot of popularity among research
communities as well as various service providers. The UAVs deployed in mission-critical …
communities as well as various service providers. The UAVs deployed in mission-critical …