Analysis of Cellular Vehicle-to-Everything Physical Layer Parameters

Pestryakov, A. V.; Khasianova, E. R.; Dinges, S. I.

doi:10.1109/ieeeconf51389.2021.9416036

Cited by 1 publication

(1 citation statement)

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“…As the standards congeal, newer simulation studies can be conducted to have an impression on real-world useability. A few recent studies conclude that despite the impressive improvements in both technologies, NR-V2X might hold immense potential [ 10 , 12 , 13 ]. Although the advancements of the 802.11-based technology look very promising too, it seems that in the US, where a new policy was issued, some might consider a significant setback for the dedicated short-range radio connectivity for vehicles.…”

Section: Introductionmentioning

confidence: 99%

Implementation of MEC-Assisted Collective Perception in an Integrated Artery/Simu5G Simulation Framework

Kovács,

Bokor

2023

Sensors

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Advanced vehicle-to-everything (V2X) safety applications must operate with ultra-low latency and be highly reliable. Therefore, they require sophisticated supporting technologies. This is especially true for cooperative applications, such as Collective Perception (CP), where a large amount of data constantly flows among vehicles and between vehicles and a network intelligence server. Both low and high-level support is needed for such an operation, meaning that various access technologies and other architectural elements also need to incorporate features enabling the effective use of V2X applications with strict requirements. The new 5G core architecture promises even more supporting technologies, like Multi-access Edge Computing (MEC). To test the performance of these technologies, an integrated framework for V2X simulations with 5G network elements is proposed in the form of combining Simu5G, a standalone 5G implementation, with the go-to V2X-simulator, Artery. As a first step toward a fully functional MEC-assisted CP Service, an extension to Simu5G’s edge implementation is introduced. The edge application is responsible for dispatching the Collective Perception Messages generated by the vehicles via the 5G connectivity so that a MEC server provided by the network can process incoming data. Simulation results prove the operability of the proposed integrated system and edge computing’s potential in assisting V2X scenarios.

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Section: Introductionmentioning

confidence: 99%