Device-Assisted Service Usage Measurement for Wireless Network Capacity Management
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Solution Overview
Problem
Current communication networks face challenges in managing user service plans and network capacity due to increasing digital networking demand, leading to degraded service experiences and higher costs for service providers, especially with the rise of high-bandwidth applications and diverse device usage patterns.
Innovation Solution
Implementing a device-assisted service usage measurement and billing system that allows for flexible service plan management, enabling more refined billing and capacity management by generating, aggregating, and mediating Charging Data Records (CDRs) across devices and networks, incorporating device-based service usage measures to enhance or replace network-based systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If wireless networks deploy higher capacity radio access technologies and more frequency spectrum, then network capacity increases, but capacity gains are less than required to meet growing digital networking demand
Solution Approach 1:
The patent implements dynamic service plan adjustments based on real-time network capacity and user consumption patterns. Service plans are not static but adapt automatically to changing network conditions and user behaviors, allowing the system to optimize capacity allocation dynamically rather than relying solely on increasing raw network capacity
Solution Approach 2:
The system changes multiple parameters simultaneously including service plan configurations, billing rates, capacity allocation thresholds, and user permission sets. By adjusting these parameters based on network conditions and user behavior, the system optimizes capacity utilization without requiring proportional increases in total network capacity
2Quantity of substance
If wire line networks provide higher average capacity per user, then user service consumption increases, but this quickly consumes available capacity and degrades overall network service experience
Solution Approach 1:
The system performs preliminary actions by proactively monitoring user consumption patterns and predicting future bandwidth usage. Before capacity degradation occurs, the system adjusts service plans, implements throttling policies, or notifies users of upcoming limits, preventing service quality degradation rather than reacting to it
Solution Approach 2:
The patent implements continuous feedback loops where network capacity utilization, user consumption patterns, and service quality metrics are constantly monitored. This feedback drives automatic adjustments to service plans and capacity allocation, ensuring that high bandwidth usage by individual users does not degrade overall network service quality
3Adaptability or versatility
If service providers increase bandwidth to meet user demand, then user satisfaction improves, but service provider costs increase and profits are negatively impacted
Solution Approach 1:
The patent segments network capacity allocation into multiple service plans with different capacity levels, pricing structures, and feature sets. Instead of providing uniform high bandwidth to all users (which increases costs), the system divides capacity allocation based on user needs, allowing cost-effective differentiation between premium and standard service levels
Solution Approach 2:
The system creates a universal service plan management framework that handles diverse user requirements through a single adaptable platform. This multi-functional system can serve both high-bandwidth and low-bandwidth users, manage multiple service types, and optimize capacity allocation across different user segments, reducing the need for specialized infrastructure for each user type
4Adaptability or versatility
If networks support diverse device usage patterns and high-bandwidth applications, then user service consumption increases, but this leads to capacity constraints and degraded service experience
Solution Approach 1:
The system dynamically adjusts capacity allocation based on device type, application requirements, and current network conditions. Rather than allocating fixed capacity to each device or application, the system flexibly redistributes available capacity in real-time to support diverse device usage patterns while preventing any single user or application from consuming excessive resources
Data Source
AI summary
A uniform wireless network service selection information exchange interface system is provided to facilitate a consistent user experience across multiple wireless networks that may have different service plan activation or service plan purchase processes. Network detection of service usage anomalies based on device-based data usage reports is provided to enable the network to determine whether an end-user device is likely operating in accordance with the established policy, or whether the end-user device may be operating fraudulently.