# Inertial Sensor Aided mmWave Beam Tracking to Support Cooperative   Autonomous Driving

**Authors:** Mattia Brambilla, Monica Nicoli, Sergio Savaresi, Umberto Spagnolini

arXiv: 1903.11849 · 2019-07-18

## TL;DR

This paper introduces an inertial sensor aided method for continuous mmWave beam tracking in V2V communications, significantly improving throughput by reducing beam alignment latency.

## Contribution

It proposes a novel inertial sensor assisted beam tracking technique that enables continuous alignment, reducing the need for frequent beam sweeping in vehicular MIMO links.

## Key findings

- Significant throughput gains demonstrated with real accelerometer data.
- Continuous beam tracking reduces latency compared to traditional methods.
- Numerical results confirm improved communication reliability.

## Abstract

This paper presents an inertial sensor aided technique for beam alignment and tracking in massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) communications based on millimeter waves (mmWave). Since directional communications in vehicular scenarios are severely hindered by beam pointing issues, a beam alignment procedure has to be periodically carried out to guarantee the communication reliability. When dealing with massive MIMO links, the beam sweeping approach is known to be time consuming and often unfeasible due to latency constraints. To speed up the process, we propose a method that exploits a-priori information on array dynamics provided by an inertial sensor on transceivers to assist the beam alignment procedure. The proposed inertial sensor aided technique allows a continuous tracking of the beam while transmitting, avoiding frequent realignment phases. Numerical results based on real measurements of on-transceiver accelerometers demonstrate a significant gain in terms of V2V communication throughput with respect to conventional beam alignment protocols.

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/1903.11849/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/1903.11849/full.md

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Source: https://tomesphere.com/paper/1903.11849