UAV Flight Path Control Using 3D Mobile Service Quality Maps
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Solution Overview
Problem
Existing mobile communications networks lack dedicated solutions to ensure and guarantee service quality for Unmanned Aerial Vehicles (UAVs) at different locations and altitudes, leading to challenges in maintaining connectivity and optimizing service quality.
Innovation Solution
A mobile network analytics system and method that operates on a per-flow basis to identify mobile network usage by UAVs, collects and aggregates service quality information based on 3-Dimensional (3D) location information, and provides this information to flight control and management systems to enhance service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional NA systems monitor basic network KPIs aggregated for network dimensions, then network failures can be indicated, but detailed troubleshooting information and end-to-end user-perceived service quality issues cannot be identified
Solution Approach 1:
The patent segments service quality measurement into multiple hierarchical levels: network dimension KPIs for overall health, session dimension for call-level analysis, and user dimension for individual experience. This segmentation allows each level to serve specific purposes without requiring all levels to be equally complex, resolving the contradiction between measurement detail and system complexity.
Solution Approach 2:
The patent introduces a new dimension of analysis by incorporating user-specific and session-specific parameters alongside traditional network KPIs. This multi-dimensional approach enables end-to-end service quality assessment without requiring a complete redesign of the analytics system, as it builds upon existing network monitoring capabilities.
2Adaptability or versatility
If per-subscriber and per-session KPIs are collected and aggregated for different network and time dimensions, then session-based troubleshooting and network issue analysis can be performed, but UAV-specific service quality optimization across 3D space cannot be achieved
Solution Approach 1:
The patent applies local quality by determining service quality metrics specifically for UAVs in different 3D spatial locations (altitude, latitude, longitude) rather than applying uniform monitoring across all users. This allows tailored service quality optimization for UAVs without requiring complete redesign of the data collection infrastructure, as it leverages existing location-based aggregation capabilities.
Solution Approach 2:
The patent introduces an intermediary layer that processes and aggregates UAV-specific KPIs from existing network measurements. This intermediary processing layer translates conventional network KPIs into UAV-specific service quality metrics without requiring direct modification of core network elements, thus achieving adaptability while managing complexity.
3Reliability
If service quality information is collected and aggregated for multiple resolutions and stored in persistent storage, then 3D service quality information can be exposed to flight control systems, but data storage and processing requirements increase
Solution Approach 1:
The patent implements partial action by collecting and storing service quality information at multiple resolutions (aggregated levels) rather than storing all raw individual measurements. This allows the system to provide accurate 3D service quality information to flight control systems while storing only the necessary aggregated data, reducing overall storage requirements while maintaining reliability.
Data Source
AI summary
A mobile network analytics system (30) for improving or enhancing the service quality of communications for Unmanned Aerial Vehicles (UAVs) (50) operating in a mobile communications network is provided herein. The system collects service quality information (e.g., service type and related Key Performance indicators (KPIs)) for the different services used by the UAVs. The system also collects the altitudes of the UAVs providing the service quality information. Based on this information, the system estimates the service quality for a given 3-Dimensional (3D) area of space (60, 62) as a function of the 3D location of the UAVs (i.e., latitude, longitude, and altitude of the UAVs). The determined service quality is provided to a UAV flight control system (40) to facilitate the dynamic optimization of a given UAV's flight path, thereby improving the service quality of communications for the given UAV.