Spectral efficiency maximization for V2V communication underlaid cellular uplink using deep neural networks

D Ron, EJ Han, JR Lee - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication has been considered as a key technology of the
intelligent transportation system because it has emerged with significant benefits such as …

Real-time monitoring and alerting system using Zabbix and Grafana software for wireless Internet access service management.

ARH Velasco, EEG Malla… - 2023 18th Iberian …, 2023 - ieeexplore.ieee.org
When there is no continuous monitoring system of the devices that make up the wireless
network for internet service access, it is not possible to react in time to failures, nor to keep a …

Connectionless transmission in wireless networks (IoT)

I Hmedoush - 2022 - theses.hal.science
The origin of the idea of adding intelligence to basic objects and making them communicate
has been lost to history. But in recent times, the emergence of the Internet as a global …

Wireless communication channel modeling using machine learning

MM Kamruzzaman, MA Hossin… - Transactions on …, 2022 - Wiley Online Library
Channel modeling is crucial in the development of wireless communication systems.
Analyzing a large amount of data is typical practice before using statistical methods to …

Adaptive anti-jamming beamforming based on the preprocessing deep reinforcement learning for downlink navigation communication

C Hao, X Sun - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Aiming to solve the problems of system sum-rate reduction caused by wavefront distortion,
this paper studies an adaptive anti-jamming beamforming through a preprocessing deep …

Intelli‐GATS: Dynamic Selection of the Wi‐Fi Multicast Transmission Policy Using Interpretable‐AI

B Gómez, E Coronado, J Villalón… - … and Mobile Computing, 2022 - Wiley Online Library
COVID‐19 has changed the way we use networks, as multimedia content now represents an
even more significant portion of the traffic due to the rise in remote education and …

Machine learning technique for wireless sensor networks

R Kaur, JK Sandhu, L Sapra - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
Wireless Sensor Networks comprise of various low-cost, low-energy sensor nodes that
perform the data gathering task. In a network, data or packets are transferred from source to …

Artificial intelligence enabled 5G-NR optimisation

N Sharma, P Ahlawat… - International Journal of …, 2023 - inderscienceonline.com
Radio-frequency spectrum chunks/channels are like invisible traffic lanes that can be used
simultaneously by multiple telecoms operators. For realising spectrum efficient intelligent …

Explainable prediction of intelligent DTN routing

EA Abdellaoui Alaoui, K Nassiri… - … conference on artificial …, 2022 - Springer
The objective of this work is to create an intelligent routing system based on machine
learning methods, the usage of which opens up yet another opportunity to classify bundles …

[PDF][PDF] Develonment of a Platform for an Agricultural Environment based on loT and Digital Twin

V Lisnic - PhD diss., 2022 - run.unl.pt
Agriculture is a key industry when it comes to providing food for the world's population.
Despite being so important, it faces many challenges today, namely the sustainability of …