A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
A Boualouache, T Engel - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
Distributed offloading for cooperative intelligent transportation under heterogeneous networks
S Xia, Z Yao, G Wu, Y Li - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
With the rapid advancement of the Internet of Vehicles and artificial intelligence (AI)
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
technologies, the cooperative intelligent transportation system (C-ITS) has drawn great …
Survey on digital twin edge networks (DITEN) toward 6G
F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
Distributed offloading in overlapping areas of mobile-edge computing for Internet of Things
With the maturity of 5G cellular communication systems and mobile-edge computing (MEC),
a large number of base stations (BSs) with edge-computing servers are densely deployed …
a large number of base stations (BSs) with edge-computing servers are densely deployed …
CRB weighted source localization method based on deep neural networks in multi-UAV network
With the advent of the Internet of Things (IoT) era, the multiunmanned aerial vehicle (UAV)
networks have attracted great attention in the fields of source detection and localization …
networks have attracted great attention in the fields of source detection and localization …
Intelligent reflecting surface-aided vehicular networks toward 6G: Vision, proposal, and future directions
As one of the typical applications in the 6G mobile network, autonomous driving will
significantly benefit from the extremely high network throughput and capacity, and an …
significantly benefit from the extremely high network throughput and capacity, and an …
On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
DeepADV: A deep neural network framework for anomaly detection in VANETs
We are seeing a growth in the number of connected vehicles in Vehicular Ad-hoc Networks
(VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a …
(VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a …
Machine-learning-based 3-D channel modeling for U2V mmWave communications
Unmanned aerial vehicle (UAV) millimeter wave (mmWave) technologies can provide
flexible link and high data rate for future communication networks. By considering the new …
flexible link and high data rate for future communication networks. By considering the new …