Motion State Determination Using Neighboring Cell Handover Counting
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Solution Overview
Problem
Existing methods for determining the motion state of user equipment are inaccurate due to the use of identical identifiers in high-speed motion equipment dedicated networks, leading to congestion and affected communication quality, as user equipment cannot distinguish between sub-cells within these networks.
Innovation Solution
A method that records information on neighboring cells, determines the number of information pieces over unit time, and uses preset numbers to accurately assess the motion state of user equipment, deciding whether to access a high-speed motion equipment dedicated network or a public network based on this assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user equipment determines motion state by counting cell handovers in high-speed motion equipment dedicated network, then network access decision can be made, but motion state determination becomes inaccurate due to identical cell identifiers across sub-cells
Solution Approach 1:
The patent segments the cell identification by introducing sub-cell identifiers that differentiate individual sub-cells within the same cell. Instead of relying solely on the cell identifier which is identical across all sub-cells, the system divides the identification into cell-level and sub-cell-level components, enabling accurate tracking of handovers between sub-cells while maintaining the cell structure.
Solution Approach 2:
The patent adds another dimension to cell identification by incorporating sub-cell identifiers as an additional layer beyond the basic cell identifier. This dimensional expansion allows the system to distinguish between multiple sub-cells sharing the same cell identifier, resolving the ambiguity in motion state determination.
2Illumination intensity
If user equipment with non-high-speed motion accesses high-speed motion equipment dedicated network due to higher signal strength, then signal quality improves, but network congestion occurs affecting communication quality
Solution Approach 1:
The patent implements feedback mechanisms where user equipment continuously monitors its motion state by counting handovers and compares this against threshold values. Based on this feedback, the system dynamically adjusts network access decisions, directing low-speed equipment to public networks and high-speed equipment to dedicated networks, thereby optimizing overall network performance and preventing congestion.
Solution Approach 2:
The patent introduces dynamic motion state classification with multiple speed levels (first speed level, second speed level, third speed level) and corresponding thresholds. The system can adaptively adjust these thresholds and dynamically change network access recommendations based on real-time motion state assessment, making the network access strategy flexible and responsive to changing conditions.
3Reliability
If high-speed motion equipment dedicated network is deployed for high-speed users, then communication quality for high-speed users improves, but low-speed users also access this network causing congestion
Solution Approach 1:
The patent applies local quality by providing different network access recommendations tailored to specific user equipment based on their individual motion states. Instead of a uniform access policy, the system assesses each user's motion characteristics and directs them to the most appropriate network (dedicated or public), ensuring that each user receives optimized service quality suited to their specific conditions.
Data Source
AI summary
A method for determining a motion state of user equipment includes: recording information on a neighboring cell that neighbors with a cell where the user equipment is located; determining a number of one or more pieces of the information on the neighboring cell recorded in unit time, and determining the motion state of the user equipment based on relationship between the determined number and one or more preset numbers as well as association of the relationship with at least one motion state.