Mobility Score System for Wireless Network Optimization
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Solution Overview
Problem
Mobile communication device users often experience poor network performance due to unpredictable mobility patterns, which can lead to dropped calls, slow download speeds, and other issues, and service providers struggle to efficiently manage radio access networks in response to changing user behaviors and environmental factors.
Innovation Solution
A mobility pattern monitoring system that determines a mobility score for users by analyzing their movement patterns, which is then used to adjust Self-Organizing Network (SON) parameters, such as antenna tilt and power distribution, to improve network performance and customer experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network parameters are adjusted to accommodate unpredictable user mobility patterns, then network coverage and reliability improve, but system complexity and resource consumption increase
Solution Approach 1:
The system pre-calculates mobility scores for users based on historical location data and mobility patterns before network adjustments are needed. This allows the network to proactively optimize parameters for predicted user movements rather than reactively responding to each mobility change, reducing the complexity of real-time decision-making while maintaining reliable network performance.
Solution Approach 2:
The mobility pattern monitoring system automatically collects location data, analyzes mobility behaviors, and generates mobility scores without requiring manual intervention. This self-service approach enables the network to autonomously adapt to user mobility patterns, improving reliability while minimizing the operational complexity burden on network administrators.
2Reliability
If mobility pattern monitoring and analysis systems are implemented, then network performance and signal coverage improve, but data processing requirements and computational resources increase
Solution Approach 1:
The system calculates mobility scores locally at the network edge or base station level rather than centralizing all processing in a remote data center. This distributed approach reduces the computational burden on any single system, lowers data transmission requirements, and enables faster local decisions about network parameter adjustments while maintaining improved signal coverage.
Solution Approach 2:
The system focuses computational resources on analyzing only the most relevant mobility parameters and user patterns that have the greatest impact on network performance. Rather than processing all possible location data equally, the system identifies and prioritizes key mobility indicators, reducing overall computational requirements while still achieving improved signal coverage through targeted optimizations.
3Productivity
If SON parameters are dynamically adjusted based on mobility scores, then network capacity and user experience improve, but control complexity and measurement precision requirements increase
Solution Approach 1:
The system transforms complex multi-dimensional mobility patterns into a simplified single-dimensional mobility score parameter. This score aggregates various mobility characteristics (speed, direction, historical patterns, location type) into a unified metric that directly correlates with network performance needs, enabling dynamic SON parameter adjustments without requiring the network to process and respond to each individual mobility measurement with high precision.
Data Source
AI summary
A device may include a processor configured to collect historical location data for a user equipment (UE) device associated with a user and determine a movement pattern for the user based on the collected historical location data. The processor may be further configured to obtain current location data for the UE device over a time period; determine a mobility score for the user for the time period based on the determined movement pattern and the obtained current location data, wherein the mobility score is associated with the user's movements during the time period with respect to the determined movement pattern for the user; and provide the determined mobility score for the user to another device configured to adjust one or more parameters of a radio access network (RAN) associated with the UE device based on the determined mobility score.