Effects of 3D Position Fluctuations on Air-to-Ground mmWave UAV Communications
Cunyan Ma, Xiaoya Li, Chen He, Jinye Peng, and Z. Jane Wang

TL;DR
This paper models how 3D position fluctuations of hovering UAVs impact the reliability and coverage of mmWave air-to-ground communications, revealing that larger fluctuations degrade QoS.
Contribution
It introduces a comprehensive analytical model capturing 3D UAV position fluctuations and blockages, providing closed-form expressions for service reliability and coverage probabilities.
Findings
Greater UAV fluctuations reduce reliable service probability.
Increased fluctuations lower coverage probability.
Optimal UAV placement can maximize QoS metrics.
Abstract
Millimeter wave (mmWave)-based unmanned aerial vehicle (UAV) communication is a promising candidate for future communications due to its flexibility and sufficient bandwidth. However, random fluctuations in the position of hovering UAVs will lead to random variations in the blockage and signal-to-noise ratio (SNR) of the UAV-user link, thus affecting the quality of service (QoS) of the system. To assess the impact of UAV position fluctuations on the QoS of air-to-ground mmWave UAV communications, this paper develops a tractable analytical model that jointly captures the features of three-dimensional (3D) position fluctuations of hovering UAVs and blockages of mmWave (including static, dynamic, and self-blockages). With this model, we derive the closed-form expressions for reliable service probability respective to blockage probability of UAV-user links,and coverage probability…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUAV Applications and Optimization · Millimeter-Wave Propagation and Modeling · Radio Wave Propagation Studies
