Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G

By Shan-zhi Chen, Jinling Hu, Yan Shi, Ying Peng, Jiayi Fang, Rui Zhao, Li Zhao. IEEE Communications Standards Magazine, 2017

806 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3ed2265e1f5854306ebd2ed85159c4e23b8f1eb2

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Citations in the corpus

A Survey of Vehicle to Everything (V2X) Testing (2019, methodology): “The Uu mode uses the existing LTE cellular network to implement V2V communication by forwarding (shown in Figure 1a), and the PC5 mode is similar to the DSRC, enabling direct communication between vehicles (shown in Figure 1b) [17,18].”
A Vision of C-V2X: Technologies, Field Testing, and Challenges With Chinese Development (2020, background): “With the evolution of cellular systems from 4G long-term evolution (LTE) to 5G, C-V2X evolves from LTE-V2X to new radio (NR)-V2X [1].”
Networking and Communications in Autonomous Driving: A Survey (2019, background): “LTE-V also has better support for high-speed autonomous driving scenario, the relative speed can be supported up to 500 km/h [163].”
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities (2020, background): “…V2X encompasses a broad range of wireless technologies including vehicle-to-vehicle (V2V) communications, vehicle-to-infrastructure (V2I) communications, and vehicle-to-pedestrian (V2P) communications), as well as communications with vulnerable road users (VRUs), and with cloud networks (V2N) [1].”
Computation Offloading Toward Edge Computing (2019, methodology): “To realize the vision of vehicle-to-everything (V2X) [185], we need to build standardized software platforms (such as OpenVDAP) and hardware facilities (e.g., customized base stations for vehicles).”
Integrated Sensing and Communication-Assisted Orthogonal Time Frequency Space Transmission for Vehicular Networks (2021, unknown): “To serve multiple vehicles in the network, the RSU is generally equipped with a massive antenna array to formulate multiple spatial beams [26].”
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection (2022, background): “Advances in communications like V2X (vehicle to everything) have made it possible to utilize data from infrastructure sensors [3,22].”
A Survey on Trajectory-Prediction Methods for Autonomous Driving (2022, unknown): “Note thatthehistoricaltrajectoryinformationusedinpredictionmeth-odscanbeobtainedfromtheperceptionsystem[13]andvehicle toeverythingV2X[14],andvision-basedmethodsarenotthe focusofthisreview.”
On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication (2020, background): “Motivated by emerging vehicular applications (V2X) [2], we consider a joint radar parameter estimation and communication system where a radar-equipped transmitter wishes to transmit information to a target receiver and jointly estimate the parameters of that receiver such as range and velocity.”
Bayesian Predictive Beamforming for Vehicular Networks: A Low-Overhead Joint Radar-Communication Approach (2020, background): “These technologies are enabling innovations that will transform vehicles into platforms for drivers and passengers that will provide services beyond transportation [1], [2]In the era of the fifth-generation (5G) communication, vehicle-to-everything (V2X) communication is expected to play an importan”