Node Device Speed Classification via Signal Power Analysis
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Solution Overview
Problem
Existing cellular communication networks face challenges in accurately determining user equipment (UE) mobility, especially in heterogeneous networks, without relying on UE-side GPS data, which can be energy-intensive and privacy-concerning, and may not provide accurate speed classification due to varying cell sizes.
Innovation Solution
A node device in the network determines the speed of travel classification for UE by analyzing signal power information from measurement reports, calculating a positional score based on changes in cell rankings, and configuring network parameters accordingly, without requiring additional hardware or software on the UE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS data is used on UE side to determine mobility, then speed classification accuracy is improved, but energy consumption increases and privacy concerns arise
Solution Approach 1:
The patent introduces signal power information as an intermediary measurement that indirectly reflects UE mobility without requiring direct GPS data collection. The network node acts as a mediator that processes measurement reports containing signal power data from multiple cells to infer speed classification, thereby avoiding direct GPS usage on UE while maintaining measurement accuracy
Solution Approach 2:
The network infrastructure serves itself by utilizing existing measurement reports and signal power information that are already being collected for other purposes (handover decisions, cell selection). This self-service approach allows the network to derive mobility information without imposing additional energy burden or privacy intrusion on UEs
2Measurement precision
If GPS data is used on UE side to determine mobility, then speed classification accuracy is improved, but privacy concerns arise
Solution Approach 1:
Signal power information serves as a privacy-preserving intermediary that reveals mobility characteristics without exposing precise location data. The measurement reports contain aggregated signal strength data from multiple cells that indirectly indicate movement patterns while maintaining UE location privacy
Solution Approach 2:
The patent extracts only the necessary mobility information (speed classification) from the complex GPS data structure by using simpler signal power measurements. This extraction approach obtains the essential mobility characteristic without capturing or transmitting sensitive location information
3Adaptability or versatility
If traditional measurement methods are used in heterogeneous networks, then network compatibility is maintained, but measurement accuracy deteriorates due to varying cell sizes
Solution Approach 1:
The patent applies local quality by using signal power information from multiple cells with different characteristics (macro and small cells) to determine mobility. Each cell's signal power contribution is locally evaluated and combined, allowing the system to adapt to heterogeneous cell sizes and provide accurate speed classification across diverse network environments
Solution Approach 2:
The measurement method achieves universality by working across heterogeneous network configurations (macro cells, small cells, femto cells) using a unified approach based on signal power ratios. The same measurement principles apply regardless of cell type or size, making the solution universally applicable while maintaining accuracy across different network architectures
4Measurement precision
If additional hardware or software is added to UE for mobility determination, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The network infrastructure performs the complex mobility determination processing itself using existing UE measurement capabilities. UEs continue to generate standard measurement reports for handover decisions, and the network node independently derives speed classification from these reports, eliminating the need for additional UE hardware or software while maintaining measurement accuracy
Solution Approach 2:
Instead of having UE determine mobility using complex algorithms or additional sensors, the patent inverts the approach by having the network determine mobility using simple signal power measurements from existing UE reports. This inversion shifts computational complexity from UE to network while improving measurement accuracy
Data Source
AI summary
A node device of a cellular communication network comprises physical layer circuitry and processing circuitry. The physical layer circuitry is operable to receive signal power information from a user equipment device (UE). The processing circuitry is operable to determine a speed of travel classification for the UE using the signal power information, and configure one or more operating parameters of the cellular communication network using the determined speed of travel classification for the UE.