Network Capacity Expansion via User Experience Metrics
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Solution Overview
Problem
Current network capacity expansion methods often lead to resource waste by expanding capacity in cells where users are already experiencing good service, as they are based solely on wireless resource utilization ratios and user numbers without considering service types and user experience.
Innovation Solution
A method and apparatus for network capacity expansion that collect online record information of mobile users across cells, identifying target service types and calculating target rates experienced by users, which allows for precise determination of cells requiring capacity expansion based on actual user experience and resource utilization thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network capacity expansion is performed based on wireless resource utilization ratio and user number thresholds, then network capacity can be expanded to meet demand, but resources are wasted when expanding in cells where users are already experiencing good service
Solution Approach 1:
The patent applies local quality by differentiating capacity expansion decisions based on local user experience conditions within each cell. Instead of uniform expansion based solely on aggregate metrics, the system evaluates individual user service quality (through metrics like MOS for voice services or throughput for data services) and selectively expands capacity only in cells where users actually experience degradation. This allows precise targeting of expansion resources to locations where they are genuinely needed, avoiding waste in cells with good service quality.
Solution Approach 2:
The patent changes the decision parameters from simple aggregate metrics (utilization ratio, user count) to composite parameters that include user experience quality indicators. By introducing parameters such as average service quality, user complaint rates, and service type-specific performance metrics, the system transforms the capacity expansion decision from a binary threshold-based approach to a multi-dimensional evaluation that accounts for both resource utilization and actual user experience, enabling more intelligent resource allocation.
2Ease of operation
If network capacity expansion is performed based on simple thresholds, then the decision process is simple and fast, but it fails to accurately identify cells that truly need capacity expansion
Solution Approach 1:
The patent segments the capacity expansion decision process into multiple evaluation dimensions: resource utilization metrics, user experience quality metrics, service type-specific metrics, and temporal patterns. By dividing the comprehensive evaluation into these separable components, the system maintains operational simplicity through modular assessment while achieving high precision through the combination of multiple targeted measurements, rather than relying on a single complex formula.
Solution Approach 2:
The patent adds new dimensions to the capacity expansion decision framework by incorporating user experience quality metrics (such as MOS scores for voice services, throughput for data services, latency measurements) alongside traditional resource utilization metrics. This dimensional expansion transforms the decision space from two-dimensional (utilization and user count) to multi-dimensional, enabling more accurate identification of cells requiring expansion while maintaining systematic evaluation through structured parameter assessment.
Data Source
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AI summary
The present invention provides a method and an apparatus for network capacity expansion, including collecting online record information of mobile users in a plurality of cells; respectively acquiring target service types in each of the cells, according to each of the service types in the plurality of cells, the uplink traffic and the downlink traffic corresponding to each of the service types and a preset threshold corresponding to each of the service types; for each cell, acquiring rates of the target service types in the cell; for each of the target service types, acquiring a target rate of the target service type according to rates corresponding to the target service type in different cells; for each cell, acquiring a target rate experienced by the individual user and an actual average rate experienced by the user in the cell; for each cell, determining a target cell according to the target rate experienced by the individual user and the actual average rate experienced by the user in the cell, as well as the utilization ratio of the wireless resources and the number of the online users; performing the network capacity expansion on the target cell. The present invention can improve network capacity expansion effect and avoid waste of resources.