Results 211 to 220 of about 16,042 (256)

Heterogeneous Multiscale Cooperative Perception for Connected Autonomous Vehicles via V2X Interaction

IEEE Internet of Things Journal
Connected autonomous driving and vehicle-to-everything (V2X) technology brings new opportunities for precise perception in occluded and sight-limited environments.
Yuanyuan Zha, Shangguan Wei, Junjie Chen, Linguo Chai, Weizhi Qiu, Antonio M. López   +5 more
semanticscholar   +1 more source

DDQN-Based Centralized Spectrum Allocation and Distributed Power Control for V2X Communications

IEEE Transactions on Vehicular Technology
With the widespread use of machine learning, especially deep learning, in high-mobility vehicular networks, vehicle-to-everything (V2X) communication has received lots of attention from academia and industry. However, the fast dynamic network environment
Peng Liu, Haixia Cui, Nan Zhang
semanticscholar   +1 more source

NO-V2X: Non-orthogonal Multiple Access with Side Information for V2X Communications

2018
We study a vehicle-to-everything (V2X) communication scenario where multiple vehicles coming from different road segments converge at a road junction and exchange their information via a road side unit. The high-mobility of vehicles determines that the communication is time-critical. If conventional orthogonal multiple access (OMA) is applied, not only
Zhenhui Situ, Ivan Wang Hei Ho
openaire   +1 more source

Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network

IEEE transactions on consumer electronics
The Sixth Generation network (6G) can support autonomous driving along with various vehicular applications like Vehicular Edge Computing (VEC), a distributed computing architecture for connected autonomous vehicles.
M. Hasan, Nusrat Jahan, Mohd Zakree Ahmad Nazri, S. Islam, Muhammad Attique Khan, A. Alzahrani, Nasser Alalwan, Yunyoung Nam   +7 more
semanticscholar   +1 more source

End-to-End Autonomous Driving through V2X Cooperation

AAAI Conference on Artificial Intelligence
Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving.
Haibao Yu, Wenxian Yang, Jiaru Zhong, Zhenwei Yang, Siqi Fan, Ping Luo, Zaiqing Nie   +6 more
semanticscholar   +1 more source

Experimental Evaluation of V2X Connectivity Technologies with V2X Channel Models

2024 18th European Conference on Antennas and Propagation (EuCAP)
A new concept of on-demand automatic electric vehicles able to circulate on roads and tracks is under development to revitalize secondary railway lines: the FLEXMOVE project. The operation of this new system requires a dynamic, flexible, and safe supervision system.
Molla, Dereje-Mechal, Hadji, Chadli, Maaloul, Sassi, Berbineau, Marion, Narouwa, Massamaesso, Mendiboure, Leo, Badis, Hakim   +6 more
openaire   +2 more sources

Evaluation of DSRC and LTE for V2X

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), 2019
Researchers are actively working on technologies that enable vehicles to communicate with each other and with surrounding devices in the environment. Currently, Dedicated Short Range Radio (DSRC) and cellular communication based approaches such as 4G/LTE and 5G are the most promising technologies for Vehicular communications (V2X). The main goal of V2X
Taajwar Bey, Girma S. Tewolde
openaire   +1 more source

Federated Learning-Based Resource Allocation for V2X Communications

IEEE transactions on intelligent transportation systems (Print)
In federated learning (FL), devices contribute to global training by uploading only the local model gradients (outcomes), providing connected devices with the ability to learn while preserving privacy.
Sanjay Bhardwaj, Da-Hye Kim, Dong-Seong Kim   +2 more
semanticscholar   +1 more source

Energy-Efficient and Intelligent ISAC in V2X Networks With Spiking Neural Networks-Driven DRL

IEEE Transactions on Wireless Communications
Integrated sensing and communication (ISAC) is emerging as a key enabler for vehicle-to-everything (V2X) systems. However, designing efficient beamforming schemes for ISAC signals to achieve accurate sensing and enhance communication performance in the ...
Chen Shang, Jiadong Yu, Dinh Thai Hoang
semanticscholar   +1 more source

Beam Alignment in mmWave V2X Communications: A Survey

IEEE Communications Surveys and Tutorials
The digital transformation within the automotive industry is accelerating towards an era dominated by autonomous vehicles, with vehicle-to-everything (V2X) communications being a fundamental enabler for this advancement.
Tom H Luan, Wenbo Guan, Yuntao Wang
exaly   +2 more sources