Papers for

drone communication engineers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

UAV communication channel behavior analyzed over vegetation and lake areas

Unmanned Aerial Vehicle Propagation Channel over Vegetation and Lake Areas: First- and Second-Order Statistical Analysis

Abstract: The use of unmanned aerial vehicles (UAV) to provide services such as the Internet, goods delivery, and air taxis has become a reality in recent years. The use of these aircraft requires a secure communication between the control station and the UAV, which demands the characterization of the communication channel. This paper aims to present a measurement setup using an unmanned aircraft to acquire data for the characterization of the radio frequency channel in a propagation environment with particular vegetation (Caatinga) and a lake. This paper presents the following contributions: identification of the communication channel model that best describes the characteristics of communication; characterization of the effects of large-scale fading, such as path loss and log-normal shadowing; characterization of small-scale fading (multipath and Doppler); and estimation of the aircraft speed from the identified Doppler frequency.

Thu 10 SeptNetworking and Internet Architecture
The gist
Safe communication between drones and their control stations is important for drone applications like delivery and internet service. The authors studied how radio signals behave when drones fly over specific natural areas like bushes and lakes. They measured how the signal weakens and changes due to obstacles and movement. They also figured out how the drone's speed can be estimated from the signal changes. This helps in planning better communication systems for drones flying in such environments.
Open 2609.11672v1

3D attitude control boosts maritime air to sea communication speeds

3D Euler-Angle Orientation Control for Two-Ray Fading Mitigation in Maritime Air-to-Sea Communications

Abstract: Maritime Air-to-Sea links are dominated by a line-of-sight ray and a sea-surface reflected ray whose destructive combination produces deep fades. Existing mitigation strategies optimize Unmanned Aerial Vehicle position or trajectory but leave attitude unexploited. This paper treats the full three dimensional attitude as a physical-layer control variable that shapes the two-ray interference through antenna phase-center displacement. Under small-angle and far-field assumptions, the constructive-interference condition reduces to an affine constraint in the Euler angles and admits a closed-form family of minimum-norm attitude candidates. A differentiable soft-minimum rule yields a smooth reference tracked by a constrained Nonlinear Model Predictive Control controller on a fully-actuated tilting multirotor. The proposed scheme increases cumulative throughput by 11.4% over a pitch-only benchmark and 22.2% over a zero-orientation baseline, while preserving trajectory tracking and respecting actuator limits.

Thu 10 SeptRobotics
The gist
Maritime air-to-sea communication signals can weaken when two main signal paths—direct and sea-reflected—interfere destructively. The authors found that controlling the full three-dimensional orientation (attitude) of a drone’s antenna can reduce this interference by adjusting how the signals combine. They developed a method to calculate the best drone angles to improve signal strength and implemented a control system for the drone to maintain these angles during flight. This approach improved data throughput by over 11% compared to simpler angle adjustments.
Open 2609.11476v1