Terminal Device Destination Prediction for 5G Connection Optimization
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G networks with many small cells using high SHF bands, face inefficiencies in selecting optimal connection destinations due to the need for extensive control and quality measurements, leading to increased time and power consumption.
Innovation Solution
A terminal device equipped with a location information acquirer, moving state estimator, destination predictor, measurement target extractor, and communication quality measurer, which predicts a destination area based on the terminal's moving state and historical communication data to narrow down candidates for communication quality measurement, thereby optimizing the connection destination search operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal performs communication quality measurement on all candidate base stations, then the reliability of connection destination selection is improved, but the time required for connection establishment increases
Solution Approach 1:
The terminal performs preliminary actions by predicting the destination area where the terminal is likely to move, and pre-identifying measurement target candidates in that area before actual connection establishment is needed. This allows the terminal to focus measurements on the most relevant base stations, reducing overall measurement time while maintaining selection reliability.
Solution Approach 2:
The invention extracts and identifies a subset of measurement target candidates from all available base stations by using destination area prediction. Instead of measuring all candidate base stations, the terminal extracts only those in the predicted destination area, significantly reducing measurement overhead while maintaining connection reliability.
2Reliability
If the terminal performs communication quality measurement on all candidate base stations, then the reliability of connection destination selection is improved, but the power consumption increases
Solution Approach 1:
The terminal extracts and identifies a subset of measurement target candidates from all available base stations by using destination area prediction. Instead of measuring all candidate base stations, the terminal extracts only those in the predicted destination area, significantly reducing measurement overhead while maintaining connection reliability.
Solution Approach 2:
The terminal performs preliminary actions by predicting the destination area where the terminal is likely to move, and pre-identifying measurement target candidates in that area before actual connection establishment is needed. This allows the terminal to focus measurements on the most relevant base stations, reducing overall measurement time while maintaining selection reliability.
3Loss of time
If the terminal narrows down measurement target candidates, then the connection establishment time is reduced, but the measurement precision may deteriorate
Solution Approach 1:
The invention applies local quality by focusing measurement resources on the destination area where the terminal is predicted to move. Instead of uniform measurement across all areas, the terminal concentrates measurement precision on the locally relevant base stations in the predicted destination area, ensuring high measurement quality where it matters most.
Solution Approach 2:
The terminal performs preliminary actions by predicting the destination area where the terminal is likely to move, and pre-identifying measurement target candidates in that area before actual connection establishment is needed. This allows the terminal to focus measurements on the most relevant base stations, reducing overall measurement time while maintaining selection reliability.
Data Source
AI summary
In order for a terminal to efficiently find an optimal connection destination based on a state of the terminal, the terminal includes: a location information acquirer configured to acquire the terminal's location information; an information storage configured to accumulate historical information on past communication statuses at respective locations within a communication area of the base station apparatus; a moving state estimator configured to estimate a moving state of the terminal based on the location information; a destination predictor configured to predict a destination area of the terminal based on the moving state; a measurement target extractor configured to extract one or more measurement target candidates as targets for communication quality measurement based on the historical information associated with the destination area; and a communication quality measurer configured to measure one or more communication qualities associated with the one or more measurement target candidates extracted by the measurement target extractor.


