Blockage effects of road bridge on mmwave channels for intelligent autonomous vehicles

D Yan, K Guan, D He, J Kim, H Chung… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular communication and sensing technologies are key to enabling 6G Intelligent
Autonomous Transportation Systems (IATS). With the introduction of massive sensors and …

10.51-Tbit/s multi-channel IF-over-fiber transmission with SDM/WDM/SCM for beyond-5G mobile fronthaul accommodating ultra-high-density antennas

S Nimura, K Tanaka, S Ishimura… - Journal of Optical …, 2023 - ieeexplore.ieee.org
In beyond-5G and 6G mobile communication systems, it is expected that massive numbers
of antennas are densely deployed to provide a stable and high-speed communication …

Het-SDVN: SDN Based Radio Resource Management of Heterogeneous V2X for Cooperative Perception

Z Li, K Wang, T Yu, K Sakaguchi - IEEE Access, 2023 - ieeexplore.ieee.org
The transformation and innovation brought by vehicle-to-everything (V2X) communications
are ongoing. Enhanced road safety, traffic efficiency, and vehicle automation are all …

Task-oriented prediction and communication co-design for haptic communications

B Kizilkaya, C She, G Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Prediction has recently been considered as a promising approach to meet low-latency and
high-reliability requirements in long-distance haptic communications. However, most of the …

MBC-SS: A multi-band cooperative sidelink scheme for NR V2X networks

J Lv, X He, X Yang, T Luo - Ad Hoc Networks, 2023 - Elsevier
Abstract Vehicle-to-everything (V2X) sidelink (SL) communication at mmWave frequency is
envisioned to satisfy the exchange of massive sensor data among vehicles. However …

Proposed CtCNet-HDRNN: A Cornerstone in the Integration of 5G mmWave and DSRC for High-Speed Vehicular Networks

TH Ahmed, JJ Tiang, A Mahmud, CG Chin… - IEEE Access, 2023 - ieeexplore.ieee.org
This study proposes an innovative integration of the Car-to-Car Network-Hierarchical deep
neural network (CtCNET-HDRNN) model with Fifth generation (5G) and Dedicated Short …

Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios

J Wang, Y Zheng, J Wang, Z Shen, L Tong, Y Jing… - Sensors, 2023 - mdpi.com
Higher standards for reliability and efficiency apply to the connection between vehicle
terminals and infrastructure by the fifth-generation mobile communication technology (5G). A …

Efficient content caching for 5G assisted vehicular networks

F Ahmed, B Alsamani, M Alkhathami, D Alsadie… - Scientific Reports, 2024 - nature.com
Traffic congestion is one of the major challenges faced by daily commuters in smart cities.
An autonomous transportation system with a 5 G-based Cellular Vehicle-to-Everything (C …

Energy-Efficient Cooperative Secure Communications in mmWave Vehicular Networks Using Deep Recurrent Reinforcement Learning

Y Ju, Z Gao, H Wang, L Liu, Q Pei… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Millimeter wave (mmWave) with abundant spectrum resources can realize high-rate
communications in vehicular networks. However, the mobility of vehicles and the blocking …

Realistic field trial evaluation of a tele-operated support service for remote driving over 5G

G Kakkavas, M Diamanti, KN Nyarko… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
In this paper, we focus on the development and realistic field trial evaluation of a Tele-
operated Support (TeSo) service for remote driving over 5G mobile communications. The …