A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation
Resource allocation in dense vehicle-to-everything (V2X) communication networks poses
intricate challenges due to scalability issues, dynamic environments, and diverse quality of …
intricate challenges due to scalability issues, dynamic environments, and diverse quality of …
Finding hidden links among variables in a large-scale 4g mobile traffic network dataset using machine learning
D Ndolane, N Massa, D Dialo… - … Conference on Soft …, 2021 - ieeexplore.ieee.org
Using a mobile dataset from Orange Senegal small cell 4G network, we study the effect of
variables such as data traffic at the downlink level, data traffic at the uplink level, total data …
variables such as data traffic at the downlink level, data traffic at the uplink level, total data …
[PDF][PDF] Enhancing V2I and V2V Communication in Vehicular Networks through GSA-BPSO Optimized Neural Network.
S Sadashiviah, NK Ramaswamy - International Journal of Intelligent …, 2023 - inass.org
In vehicular networks, efficient communication between vehicles and infrastructure relies on
the ergodic capacities of V2I links. Meanwhile, the crucial transmission of urgent information …
the ergodic capacities of V2I links. Meanwhile, the crucial transmission of urgent information …
Distributed Artificial Intelligence and Adaptive Fish Swarm Optimization based Resource Allocation in Wireless Sensor Network
YG Reddy, K Priyanka, KS Kumar… - 2023 International …, 2023 - ieeexplore.ieee.org
The Wireless Sensor Network (WSN) is a decentralized and distributed ad-hoc network that
comprises the powerful computing, sensing and processing nodes. In WSN, the sensor …
comprises the powerful computing, sensing and processing nodes. In WSN, the sensor …
Optimization of the Task Allocation Process in VEC with the GWO Bioinspired Algorithm
DD Lieira, MS Quessada… - 2023 18th Iberian …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) helps intelligent transportation systems deliver
information and process data efficiently, at low latency. However, with the continuous …
information and process data efficiently, at low latency. However, with the continuous …
MALTREAT-A Metaheuristic Algorithm for Allocation of Resources in Vehicular AD-HOC Networks
EN Gottsfritz, MS Quessada, DD Lieira… - … Computing in Smart …, 2023 - ieeexplore.ieee.org
Over time, Decision Support Technologies (DST) based on Intelligent Transport Systems
(ITS) have undergone modernization through the remodeling of well-known techniques. In …
(ITS) have undergone modernization through the remodeling of well-known techniques. In …
Deep Reinforcement-based Q-Learning Approach for Improving Energy Efficiency and Resource Management in V2X Communication Networks
ML Moses, T Perarasi, K Rajkumar… - … and Robotics (STCR …, 2023 - ieeexplore.ieee.org
Recent advancements in technologies have paved the way for developing intelligent
transportation systems that offer safety and autonomous services on the road through the …
transportation systems that offer safety and autonomous services on the road through the …
Throughput enhancement of High-Bandwidth Wireless Network using Deep Double Q-Network Algorithm
C Wang, A Aljohani, F Khan - 2024 - researchsquare.com
In high-bandwidth network environments, multiple users and devices frequently share
similar high-frequency bands, but signal propagation limitations lead to unstable network …
similar high-frequency bands, but signal propagation limitations lead to unstable network …
Finding Hidden Links among Variables in a Large-Scale 4G Mobile Traffic Network Dataset with Deep Learning
Using a mobile dataset from Orange Senegal small cell 4G network, we study the effect of
variables such as data traffic at the downlink level, data traffic at the uplink level, total data …
variables such as data traffic at the downlink level, data traffic at the uplink level, total data …