Optimizing Vehicular Users Association in Urban Mobile Networks

TL;DR

This paper presents a heuristic method for optimizing vehicular user association in urban mobile networks, improving handover efficiency and reducing computation time while maintaining service quality.

Contribution

It introduces a novel heuristic approach that outperforms existing solutions in execution time and maintains optimal or near-optimal user association quality.

Findings

Reduces execution time by over 80% compared to exact methods.

Maintains or surpasses existing quality of service levels.

Achieves optimal solutions with heuristic approach.

Abstract

This study aims to optimize vehicular user association to base stations in a mobile network. We propose an efficient heuristic solution that considers the base station average handover frequency, the channel quality indicator, and bandwidth capacity. We evaluate this solution using real-world base station locations from S\~ao Paulo, Brazil, and the SUMO mobility simulator. We compare our approach against a state of the art solution which uses route prediction, maintaining or surpassing the provided quality of service with the same number of handover operations. Additionally, the proposed solution reduces the execution time by more than 80\% compared to an exact method, while achieving optimal solutions.