# Path Loss Models for V2V mmWave Communication: Performance Evaluation   and Open Challenges

**Authors:** Marco Giordani, Takayuki Shimizu, Andrea Zanella, Takamasa Higuchi,, Onur Altintas, Michele Zorzi

arXiv: 1907.10126 · 2019-07-25

## TL;DR

This paper evaluates the 3GPP proposed mmWave V2V channel model for urban and highway scenarios, analyzing its accuracy, impact of automotive parameters, and highlighting areas for future measurement improvements.

## Contribution

It validates the 3GPP V2V mmWave channel model, assesses automotive parameter impacts, and discusses open challenges for vehicular communication modeling.

## Key findings

- The 3GPP model supports urban and highway scenarios.
- Automotive parameters significantly affect network performance.
- Identifies inconsistencies and suggests future measurement directions.

## Abstract

Recently, millimeter wave (mmWave) bands have been investigated as a means to enhance automated driving and address the challenging data rate and latency demands of emerging automotive applications. For the development of those systems to operate in bands above 6 GHz, there is a need to have accurate channel models able to predict the peculiarities of the vehicular propagation at these bands, especially as far as Vehicle-to-Vehicle (V2V) communications are concerned. In this paper, we validate the channel model that the 3GPP has proposed for NR-V2X systems, which (i) supports deployment scenarios for urban/highway propagation, and (ii) incorporates the effects of path loss, shadowing, line of sight probability, and static/dynamic blockage attenuation. We also exemplify the impact of several automotive-specific parameters on the overall network performance considering realistic system-level simulation assumptions for typical scenarios. Finally, we highlight potential inconsistencies of the model and provide recommendations for future measurement campaigns in vehicular environments.

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/1907.10126/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/1907.10126/full.md

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Source: https://tomesphere.com/paper/1907.10126