LTE evolution for vehicle-to-everything services

By Hanbyul Seo, Ki-Dong Lee, Shinpei Yasukawa, Ying Peng, P. Sartori. IEEE Communications Magazine, 2016

297 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0da40aa1c4a60cc1457a08fbd9c2f46429872854

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In Automotive Engineering

In Control and Systems Engineering

In Electrical and Electronic Engineering

Citations in the corpus

V2X Access Technologies: Regulation, Research, and Remaining Challenges (2018, background): “cation between UEs and allow for continuity of service even outside of the range of infrastructural nodes [134], [135].”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “D2D communications is a high potential candidate to solve the latency issue of the cellular networks, which enables the cellular networks to realize the vehicle safety applications [280]– [283].”
On the Performance of IEEE 802.11p and LTE-V2V for the Cooperative Awareness of Connected Vehicles (2017, background): “11p if errors are perfectly uncorrelated [11], [12], while the latter is more conservative.”
6G for Vehicle-to-Everything (V2X) Communications: Enabling Technologies, Challenges, and Opportunities (2020, methodology): “C-V2X enables every vehicle to communicate with different entities of a V2X network (such as V2V, V2I, V2P, and V2N) [5].”
A Survey on Acquisition, Tracking, and Pointing Mechanisms for Mobile Free-Space Optical Communications (2018, background): “An example of a high-mobility station is a high-speed train, which travels at a speed of about 400 km/h. Providing high-speed Internet access (i.e., in the order of Gbps) to the passengers on a high-speed train by using existing RFbased communications systems, such as LTE, is challenging because of ”
Networking and Communications in Autonomous Driving: A Survey (2019, unknown): “primarily focus on autonomous vehicles [17]–[19].”
Deep Reinforcement Learning Based Resource Allocation for V2V Communications (2018, background): “munications are very stringent with ultra low latency and high reliability [4].”
Challenges and Solutions for Cellular Based V2X Communications (2021, methodology): “Other techniques are also being considered in which for a single reference signal symbol, the high-frequency offset is estimated by comparing the phase of the ﬁrst and second half of each reference signal [27].”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, background): “• Vehicle-to-everything (V2X) communications: V2X, which includes vehicle-to-network (V2N), vehicle-toinfrastructure (V2I), vehicle-to-pedestrian (V2P), and vehicle-to-vehicle (V2V) communications, has been considered as one platform for achieving intelligent transportation and is included in 3GPP r”