Adaptive Cell Range Expansion in Multi-Band UAV Communication Networks

TL;DR

This paper models and optimizes multi-band UAV communication networks using stochastic geometry, introducing a novel antenna gain model and a user association policy that biases users towards mmWave UAVs for improved coverage and data rates.

Contribution

It presents a new mmWave antenna gain model and a simple user association policy that enhances network performance in multi-band UAV systems.

Findings

The proposed association policy improves coverage probability.

Analytical results closely match simulation outcomes.

Biasing users towards mmWave UAVs increases spectral efficiency.

Abstract

This paper leverages stochastic geometry to model, analyze, and optimize multi-band unmanned aerial vehicle (UAV) communication networks operating across low-frequency and millimeter-wave (mmWave) bands. We introduce a novel approach to modeling mmWave antenna gain in such networks, which allows us to better capture and account for interference in our analysis and optimization. We then propose a simple yet effective user-UAV association policy, which strategically biases users towards mmWave UAVs to take advantage of lower interference and wider bandwidths compared to low-frequency UAVs. Under this scheme, we analytically derive the corresponding association probability, coverage probability, and spectral efficiency. We conclude by assessing our proposed association policy through simulation and analysis, demonstrating its effectiveness based on coverage probability and per-user data rates, as well as the alignment between analytical and simulation results.