Non-Terrestrial Link State Mapping for LOS/NLOS Handover Prediction
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Solution Overview
Problem
Designing communication systems that integrate both cellular and non-terrestrial networks is challenging due to differing propagation environments, particularly in scenarios where signal paths between non-terrestrial nodes and receivers can be obstructed, leading to abrupt changes in line-of-sight and non-line-of-sight conditions.
Innovation Solution
An apparatus and method for a communication system that measures signal strengths and quality, determines transitions between line-of-sight and non-line-of-sight states, calculates elevation and azimuth angles, and generates a database to predict expected states, enabling better network adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If non-terrestrial networks are integrated into cellular communication systems, then coverage in areas with poor land-based access node coverage is improved, but the complexity of designing communication systems increases due to different propagation environments
Solution Approach 1:
The system performs preliminary classification of propagation conditions (line-of-sight vs. non-line-of-sight) based on measured signal characteristics before actual communication occurs. By pre-characterizing the propagation environment using signal strength, signal quality, and transition detection, the system prepares propagation condition databases that enable faster, more reliable communication decisions without real-time complex analysis
Solution Approach 2:
The patent introduces propagation condition databases as an intermediary layer between the physical propagation environment and the communication system. These databases store classified propagation conditions (LOS/NLOS states) and serve as a mediator that translates complex physical phenomena into simplified communication parameters, reducing the complexity of integrating non-terrestrial networks
2Adaptability or versatility
If signal path obstructions are present in non-terrestrial node to receiver paths, then communication reliability deteriorates due to abrupt changes between line-of-sight and non-line-of-sight conditions, but continuous monitoring and classification of propagation conditions can improve adaptability
Solution Approach 1:
The system implements continuous feedback loops where signal strength and signal quality measurements are constantly monitored, used to determine LOS/NLOS transitions, and fed back into propagation condition databases. This feedback mechanism enables the system to adapt to changing propagation conditions in real-time, improving both reliability and adaptability by continuously learning from measured data
Solution Approach 2:
The system performs preliminary classification of propagation conditions based on measured signal characteristics before actual communication occurs. By pre-characterizing the propagation environment using signal strength, signal quality, and transition detection, the system prepares propagation condition databases that enable faster, more reliable communication decisions without real-time complex analysis
Data Source
AI summary
Apparatus and method for communication in non-terrestrial networks are provided. Downlink transmissions are received (400) from one or more non-terrestrial nodes. Signal strengths and/or signal quality of the transmissions are measured (402) from the one or more non-terrestrial nodes. Transitions between line-of-sight and non-line-of-sight states regarding the one or more non-terrestrial nodes are determined (404). Locations of the one or more non-terrestrial nodes and the apparatus are determined (406) and elevation and azimuth angles to the one or more non-terrestrial nodes from the apparatus are calculated (408). A database of the line-of-sight and non-line-of-sight states is generated (410) as a function of elevation and azimuth angles and apparatus location and utilised (412) to determine expected line-of-sight and non-line-of-sight states for non-terrestrial nodes.