# Analysis of Intelligent Vehicular Relaying in Urban 5G+ Millimeter-Wave   Cellular Deployments

**Authors:** Vitaly Petrov, Dmitri Moltchanov, Sergey Andreev, Robert W., Heath Jr

arXiv: 1908.05946 · 2024-10-30

## TL;DR

This paper develops a mathematical framework to evaluate the performance of mobile millimeter-wave relays in urban vehicular scenarios, highlighting their potential to improve connectivity in 5G+ networks.

## Contribution

It introduces a novel analytical model for mmWave vehicular relaying performance in urban environments, aiding in standardization and deployment strategies.

## Key findings

- Relaying improves connection reliability in urban mmWave deployments.
- Certain urban scenarios benefit significantly from vehicular relays.
- The model supports optimization of relay deployment and strategies.

## Abstract

The capability of smarter networked devices to dynamically select appropriate radio connectivity options is especially important in the emerging millimeter-wave (mmWave) systems to mitigate abrupt link blockage in complex environments. To enrich the levels of diversity, mobile mmWave relays can be employed for improved connection reliability. These are considered by 3GPP for on-demand densification on top of the static mmWave infrastructure. However, performance dynamics of mobile mmWave relaying is not nearly well explored, especially in realistic conditions, such as urban vehicular scenarios. In this paper, we develop a mathematical framework for the performance evaluation of mmWave vehicular relaying in a typical street deployment. We analyze and compare alternative connectivity strategies by quantifying the performance gains made available to smart devices in the presence of mmWave relays. We identify situations where the use of mmWave vehicular relaying is particularly beneficial. Our methodology and results can support further standardization and deployment of mmWave relaying in more intelligent 5G+ "all-mmWave" cellular networks.

## Full text

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## Figures

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## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1908.05946/full.md

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Source: https://tomesphere.com/paper/1908.05946