LTE User Mobility Detection via RRU Positional Ratios
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Solution Overview
Problem
In high-speed railway dedicated networks, non-fast-moving LTE users can occupy resources meant for fast-moving users, affecting performance, and existing solutions fail to effectively identify and manage these non-fast-moving users.
Innovation Solution
A method and base station system that identifies LTE users by analyzing the positional information of uplink messages received from multiple Remote Radio Units (RRUs), determining if the user is fast-moving or non-fast-moving based on the proportion of consistent RRU positional data, and handing over non-fast-moving users to the public LTE network to free up resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If non-fast-moving LTE users are allowed to access the high-speed railway dedicated network, then network coverage and accessibility are improved, but resources for fast-moving users are occupied and performance deteriorates
Solution Approach 1:
The patent segments the LTE user base into fast-moving and non-fast-moving categories based on RRU positional information analysis. By dividing users according to mobility characteristics, the system can apply different resource allocation strategies: fast-moving users receive resources optimized for high-speed communication while non-fast-moving users are handed over to public LTE networks, thus preventing resource occupation issues and maintaining dedicated network performance.
2Ease of operation
If all LTE users are treated equally in the high-speed railway dedicated network, then ease of operation is improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent implements dynamic user classification by continuously analyzing RRU positional information to determine whether users are fast-moving or non-fast-moving. This dynamic approach allows the system to automatically adjust resource allocation strategies based on real-time user mobility states, improving resource allocation efficiency without requiring complex manual intervention. The base station dynamically identifies user categories and applies appropriate handling policies.
3Measurement precision
If user mobility state identification is implemented through complex measurement methods, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a self-service approach where the base station automatically obtains and analyzes RRU positional information that is naturally generated during normal user communication. The system uses existing uplink message transmission data to determine user mobility states without requiring additional measurement devices or complex external sensors. This self-service mechanism achieves accurate mobility state identification while minimizing system complexity.
Data Source
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AI summary
The present disclosure relates to a method and an apparatus for identifying a user device. The method comprises: receiving an uplink message sent at least twice by the same user device; on the basis of the uplink message sent at least twice, determining remote radio unit RRU positional information of an RRU that received each uplink message; comparing whether the ratio of the total number of the at least two items of RRU positional information occupied by the number of different items of RRU positional information amongst the at least two items of RRU positional information reaches a preset ratio threshold; when the ratio does not reach the preset ratio threshold, determining that the user device is an ordinary user device; and, when the ratio reaches the preset ratio threshold, determining that the user device is a high-speed mobile user device. In the present disclosure, a base station can identify whether a user device is an ordinary user device or a high-speed mobile user device.