Future Position Estimation for Cellular Connectivity Reliability
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Solution Overview
Problem
Current cellular communication networks face challenges in optimizing resource usage and ensuring reliable connectivity due to unpredictable terminal device positions and speeds, leading to uncertainty and errors in channel conditions.
Innovation Solution
The solution involves obtaining and transmitting future position estimates of terminal devices to base stations or location management functions, allowing for prediction of future positions and optimized network resource allocation, including beam tracking and signal strength estimation, to improve connectivity reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If future position estimates are transmitted to base station, then connectivity reliability is improved, but network signaling overhead increases
Solution Approach 1:
The patent extracts only the essential future position estimate information (timestamp and position coordinates) from complete location data, transmitting only what is necessary for connectivity prediction. This selective extraction reduces signaling overhead while maintaining the reliability benefit of knowing future device positions.
Solution Approach 2:
The terminal device performs preliminary calculation of future position estimates using its own positioning capabilities and transmission algorithms before sending data to the network. By pre-processing position data locally, the device reduces the amount of raw information that needs to be transmitted, thereby lowering network signaling overhead while still providing reliable connectivity prediction data.
2Reliability
If beam tracking is performed based on predicted position, then connectivity reliability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary beam tracking preparations by predicting future device positions and pre-configuring beam directions in advance. This allows the base station to have beam tracking parameters ready before the device actually moves to the predicted position, reducing real-time tracking complexity while maintaining reliable connectivity.
Solution Approach 2:
The beam tracking system dynamically adjusts beam directions based on predicted device positions rather than continuously scanning. By making beam tracking adaptive and prediction-driven, the system reduces computational complexity compared to traditional continuous beam sweeping, while improving connectivity reliability through anticipatory beam alignment.
Data Source
AI summary
Disclosed is a method comprising obtaining one or more future position estimates of a terminal device, and transmitting the one or more future position estimates to a base station and/or to a location management function, wherein the one or more future position estimates are transmitted in a message comprising a list of one or more pairs of a timestamp and an estimated future position at a time indicated by the timestamp.


