UAV Measurement Gap Control for Neighboring Base Station Detection
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) face challenges in efficiently detecting neighboring base stations during measurement gaps, leading to increased latency and disruption in communication with ground control stations due to their ability to detect a larger number of base stations, including far-away ones, which complicates triangulation and handover processes.
Innovation Solution
Implementing a process that utilizes machine learning techniques to determine a likelihood parameter for neighboring base stations, adjusting measurement gap length duration based on latency and scanning timer parameters, and providing instructions to the UAV for optimized scanning during measurement gaps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the UAV uses a large measurement gap length duration to detect neighboring base stations, then the UAV can detect more neighboring base stations, but the communication delay with ground control station increases
Solution Approach 1:
The patent changes the parameter of measurement gap length duration dynamically based on UAV altitude and location. At higher altitudes where more base stations are detectable, the measurement gap duration is reduced. This parameter adaptation resolves the contradiction by optimizing the balance between detection capability and communication delay according to operational conditions.
Solution Approach 2:
The measurement gap configuration is made dynamic rather than static. The base station adjusts measurement gap duration in real-time based on UAV position and altitude information. This dynamic approach allows the system to reduce measurement gaps when the UAV can detect sufficient base stations, thereby reducing communication delay while maintaining handover capability.
2Quantity of substance
If the UAV disconnects from serving base station during measurement gaps to scan carrier frequencies, then the UAV can identify neighboring base stations, but the data transmission interruption increases
Solution Approach 1:
The patent applies parameter changes by adjusting the measurement gap duration based on UAV altitude. At higher altitudes where the UAV can detect more base stations, the measurement gap duration is shortened, thereby reducing data transmission interruption while still enabling sufficient base station identification for handover purposes.
3Adaptability or versatility
If the UAV scans multiple frequency bands and technologies during measurement gaps, then the UAV can detect more neighboring base stations, but the measurement gap complexity increases
Solution Approach 1:
The patent simplifies measurement configuration by dynamically adjusting measurement gap parameters based on UAV altitude. At higher altitudes where multi-frequency and multi-technology detection is more effective, the system reduces measurement gap duration and selects fewer target base stations, thereby maintaining detection versatility while reducing operational complexity.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a first location of an unmanned aerial vehicle (UAV), determining a group of neighboring base stations based on the first location of the UAV utilizing a machine learning software application, identifying a carrier frequency associated with each of the group of neighboring base stations resulting in a group of carrier frequencies, and providing first instructions over a mobile network to the UAV. The first instructions indicate the group of carrier frequencies. Other embodiments are disclosed.