# An Efficient Requirement-Aware Attachment Policy for Future Millimeter Wave Vehicular Networks

## TL;DR

This paper introduces a QoS-aware attachment policy for millimeter wave vehicular networks that improves service satisfaction and fairness by considering individual vehicle requirements, addressing the limitations of traditional signal quality-based methods.

## Contribution

It proposes a novel QoS-aware cell attachment scheme for heterogeneous vehicular networks that enhances fairness and service satisfaction over existing methods.

## Key findings

- Significantly increases the percentage of vehicles meeting application requirements.
- Provides more efficient and fair vehicle association.
- Outperforms state-of-the-art schemes in simulations.

## Abstract

The automotive industry is rapidly evolving towards connected and autonomous vehicles, whose ever more stringent data traffic requirements might exceed the capacity of traditional technologies for vehicular networks. In this scenario, densely deploying millimeter wave (mmWave) base stations is a promising approach to provide very high transmission speeds to the vehicles. However, mmWave signals suffer from high path and penetration losses which might render the communication unreliable and discontinuous. Coexistence between mmWave and Long Term Evolution (LTE) communication systems has therefore been considered to guarantee increased capacity and robustness through heterogeneous networking. Following this rationale, we face the challenge of designing fair and efficient attachment policies in heterogeneous vehicular networks. Traditional methods based on received signal quality criteria lack consideration of the vehicle's individual requirements and traffic demands, and lead to suboptimal resource allocation across the network. In this paper we propose a Quality-of-Service (QoS) aware attachment scheme which biases the cell selection as a function of the vehicular service requirements, preventing the overload of transmission links. Our simulations demonstrate that the proposed strategy significantly improves the percentage of vehicles satisfying application requirements and delivers efficient and fair association compared to state-of-the-art schemes.