Terminal Location Prediction for Wireless Communication Networks
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Solution Overview
Problem
Conventional wireless communication systems, such as LTE positioning protocol (LPP), are inadequate for rapidly moving communication partners like vehicles and drones, leading to increased communication burdens and potential interruptions in data transmission, especially with applications like video streaming.
Innovation Solution
A method where terminals predict their future location and transmit this information along with a confidence level and time indicator to the base station, enabling more precise real-time location data, which can be used to optimize data communication and streaming by anticipating bandwidth changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional LPP positioning protocols are used for rapidly moving terminals, then positioning data can be obtained, but communication burden increases and positioning accuracy deteriorates due to frequent location updates
Solution Approach 1:
The terminal predicts its future location in advance and reports this predicted location to the network before actually reaching it. This allows the network to prepare for upcoming positioning needs, reducing the frequency of actual positioning measurements and communications while maintaining accurate positioning data for mobile terminals.
2Reliability
If frequent location updates are performed for moving terminals, then positioning accuracy is maintained, but data transmission interruptions occur due to network bandwidth variations
Solution Approach 1:
The terminal predicts its future location and reports it in advance, allowing the network to proactively manage data transmission. The network can buffer or pre-transmit data based on the predicted location and expected bandwidth conditions at that future time, ensuring continuous transmission even as the terminal moves through areas with varying network capacity.
3Productivity
If predicted location information is transmitted in advance, then communication efficiency improves, but device complexity increases due to prediction algorithms
Solution Approach 1:
The terminal itself performs the location prediction using its own movement data and sensors, rather than requiring the network to provide complex prediction infrastructure. This self-service approach enables prediction capability at the terminal side, improving communication efficiency without requiring significant network-side complexity investment.
Data Source
Figure 1~2
AI summary
The present application relates to a method for providing location information of a terminal (30) and in a communication network (10). According to the method, a location information indicating a location of the terminal (30) in the communication network (10) is determined by the terminal (30). Furthermore, a time information indicating a time at which the terminal (30) is located at the location indicated by the location information is determined by the terminal (30). The location information and time information is transmitted by the terminal (30) to a base station (20) or to another terminal (30) of the communication network (10).