Digital and Geographical Feature Detection by Machine Learning Techniques Using Google Earth Engine for CPEC Traffic Management
S Mazhar, G Sun, A Bilal, Y Li… - Wireless …, 2022 - Wiley Online Library
The center of human settlements is in the cities, which must have high‐quality habitats for
their inhabitants. Many megachallenges of urbanization, population development, global …
their inhabitants. Many megachallenges of urbanization, population development, global …
A conditional generative adversarial network based approach for network slicing in heterogeneous vehicular networks
F Falahatraftar, S Pierre, S Chamberland - Telecom, 2021 - mdpi.com
Heterogeneous Vehicular Network (HetVNET) is a highly dynamic type of network that
changes very quickly. Regarding this feature of HetVNETs and the emerging notion of …
changes very quickly. Regarding this feature of HetVNETs and the emerging notion of …
Resource allocation in V2X communication: State-of-the-art and research challenges
A Nair, S Tanwar - Physical Communication, 2024 - Elsevier
This paper explores the multifaceted domain of resource allocation (RA) in vehicle-to-
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …
MDP-based connectivity and availability models for Internet of Vehicles
A Saad, P Yan, E Robson - Internet of Things, 2023 - Elsevier
Smart and connected vehicles have enabled a series of services and applications in
intelligent transportation. Such vehicles introduce a new paradigm that supports the Internet …
intelligent transportation. Such vehicles introduce a new paradigm that supports the Internet …
Deep learning based predictive power allocation for V2X communication
As an essential technology of the fifth generation communication (5G), Vehicle-to-Everything
(V2X) has attracted wide attention lately. A well-designed power allocation scheme can …
(V2X) has attracted wide attention lately. A well-designed power allocation scheme can …
ML-driven scaling of 5G Cloud-Native RANs
The evolution of the different network functions to a cloud-native configuration creates fertile
ground for the efficient management and reconfiguration of the network. Through the wide …
ground for the efficient management and reconfiguration of the network. Through the wide …
[PDF][PDF] Wireless AI: Enabling an AI-governed data life cycle
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …
networks, which can be mostly attributed to the increasing communication and sensing …
Optimizing network slicing in 6G networks through a hybrid deep learning strategy
The sixth generation (6G) networks demand high security, low latency, and highly
dependable standards and capacity. One of the essential components of 6G networks is …
dependable standards and capacity. One of the essential components of 6G networks is …
MDP-based vehicular network connectivity model for VCC management
A Saad, E Robson - … on Distributed Simulation and Real Time …, 2020 - ieeexplore.ieee.org
Vehicular Cloud computing is new paradigm where vehicles collaboratively exchange data
and resources to support services and problem-solving in urban environments …
and resources to support services and problem-solving in urban environments …
A review on 5G network system with its limitation and different approaches to build strong 5G network system
V Chauhan - 2022 3rd International Conference on Intelligent …, 2022 - ieeexplore.ieee.org
Due to the large demands of the high throughput of network and large size network capacity,
that brings the need of 5G Network in the world to improve Quality of Services. As time-to …
that brings the need of 5G Network in the world to improve Quality of Services. As time-to …