Joint Power and Mobility Control

TL;DR

This paper presents a joint optimization framework for vehicle mobility and transmission power in autonomous V2X networks, improving network connectivity and interference mitigation through a concave NUM formulation validated by simulations and real-world tests.

Contribution

It introduces a novel joint power and mobility control approach based on a concave NUM formulation, enabling distributed optimization in dynamic vehicular networks.

Findings

Symmetric vehicle positioning improves packet reception rates.

Balanced power allocation enhances network connectivity.

The proposed method effectively mitigates interference in real-world scenarios.

Abstract

This study addressed the challenge of improving network connectivity in autonomous V2X networks by jointly optimizing transmission power and vehicle mobility. We proposed a link reception model based on a sigmoid approximation of SINR and transformed it into a power-based formulation for simplicity in optimization. Building on this, we formulated a multi-node Network Utility Maximization (NUM) problem and demonstrated its concavity, enabling distributed trajectory and power adjustments. Both simulation and real-world experiments validated the theoretical findings, showing that symmetric positioning and balanced power allocation significantly enhance packet reception rates under interference-limited conditions. These results confirm that coordinated mobility and power control can effectively mitigate interference and improve connectivity in highly dynamic vehicular networks, paving the way for robust communication in future autonomous and UAV systems.