UAV Beam Steering for Broadband Coverage
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Solution Overview
Problem
Current broadband access systems, particularly satellite-based systems, face high costs and inefficiencies in providing service to remote and underdeveloped regions due to costly satellite hardware and launch risks, as well as the lack of justification for deploying terrestrial systems in lightly populated areas with low subscriber density.
Innovation Solution
A system utilizing unmanned aerial vehicles (UAVs) to relay Internet traffic, which includes associating ground terminals with cells, receiving data from a gateway apparatus, and transmitting beams to these cells using antenna sub-systems with multiple polarizations and transceivers, synchronized via GPS or a master UAV transceiver, to optimize coverage and reduce interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite-based broadband systems are deployed to provide service in remote areas, then coverage area is improved, but system cost and complexity increase significantly
Solution Approach 1:
The patent replaces expensive, long-lived satellites with cheaper, shorter-lived UAVs (drones) that can be deployed and retired more economically. The UAVs serve as temporary aerial base stations, providing broadband coverage in remote areas without the need for costly satellite infrastructure.
Solution Approach 2:
The patent introduces UAVs as intermediary platforms between ground-based terrestrial systems and satellite systems. These UAVs act as mobile base stations that relay Internet traffic from gateways to ground terminals, bridging the gap between fixed infrastructure and remote coverage needs.
2Area of stationary object
If terrestrial broadband systems are deployed in lightly populated areas, then service coverage is improved, but deployment cost increases due to low subscriber density
Solution Approach 1:
The patent employs dynamic UAV platforms that can be relocated to different areas based on demand. Instead of building fixed terrestrial infrastructure in low-density areas, mobile UAV base stations provide flexible, on-demand coverage that can be moved to serve different communities as subscriber density changes.
Solution Approach 2:
The UAV platforms serve multiple functions: they act as mobile base stations, provide aerial coverage, and can be deployed in various geographic conditions. This multi-functionality allows a single platform type to address diverse broadband deployment challenges without requiring specialized fixed infrastructure for each location.
3Productivity
If beam forming and pointing are optimized in UAV networks, then data throughput is improved, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the master UAV transceiver provides clock timing references to other UAVs, and where beam pointing and forming are optimized based on real-time channel conditions and UAV positions. This feedback enables dynamic adaptation that improves throughput while managing complexity through automated control.
Solution Approach 2:
The UAV network performs self-synchronization and self-configuration through automated protocols. The master UAV automatically provides timing references, and the system autonomously manages beam forming and frequency allocation without requiring manual intervention, thereby improving throughput while keeping operational complexity manageable.
4Productivity
If frequency reuse is implemented in adjacent cells, then spectral efficiency is improved, but interference between cells increases
Solution Approach 1:
The patent applies local quality by assigning different frequencies to adjacent cells in the UAV network, similar to cellular networks. Each UAV or cell group operates on specific frequency assignments that are optimized for local conditions, allowing frequency reuse across different geographic areas while minimizing local interference through careful frequency planning.
Data Source
AI summary
Systems and methods configured to form and point beams from one or more unmanned aerial vehicles (UAVs) toward a target coverage area on the ground. One embodiment describes dividing the target coverage area on the ground among multiple UAVs when each UAV antenna system generates static beams. Another embodiment describes dividing the target coverage area on the ground among multiple UAVs when their antenna systems are capable of dynamically steering their respective beams. Another set of embodiments describe systems and method to allow multiple UAVs to provide service in the same area on the ground using the same spectrum.


