Device-Assisted Network Service Control for Capacity Protection
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Solution Overview
Problem
The increasing demand for digital networking services is outpacing the capacity of wireless and wireline networks, leading to network congestion and reduced performance, particularly due to the inefficient use of bandwidth by general-purpose Internet devices and applications, which degrade network capacity and availability.
Innovation Solution
Implementing Device Assisted Services (DAS) for intelligent network monitoring and differential control of network service usage activities, including application and operating system functions, to manage network resources and maintain capacity while ensuring an acceptable user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If network capacity is increased to meet growing digital networking demand, then user capacity is improved, but network cost increases and capacity gains are insufficient
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting network service usage based on network capacity conditions. The system monitors network capacity metrics and modifies service parameters (such as bandwidth allocation, service quality levels) in real-time to optimize the balance between capacity utilization and cost efficiency, preventing unnecessary capacity expansion while maintaining service quality.
2Productivity
If network capacity is increased to support high bandwidth applications, then user service consumption is improved, but overall network service experience degrades
Solution Approach 1:
The patent implements local quality by applying differential service treatments to different network services and applications. High-bandwidth applications receive enhanced capacity allocation when available, while other services maintain standard quality levels. This localized quality enhancement allows individual applications to consume more bandwidth without causing overall network degradation, as resources are selectively allocated based on service priority and network conditions.
Solution Approach 2:
The system dynamically adjusts service quality parameters based on real-time network capacity conditions. When network capacity is sufficient, high-bandwidth applications are allowed to consume more resources. When capacity becomes constrained, the system automatically adjusts service levels to maintain overall network reliability. This dynamic adaptation resolves the contradiction by making bandwidth consumption flexible rather than fixed.
3Adaptability or versatility
If general-purpose Internet devices are deployed to meet user demand, then device versatility is improved, but network capacity efficiency deteriorates
Solution Approach 1:
The patent implements feedback mechanisms that monitor network capacity usage patterns from diverse devices and applications. The system collects data on service usage, device types, and network conditions, then uses this feedback to dynamically adjust service allocation and capacity management policies. This feedback loop enables the network to efficiently handle traffic from general-purpose devices while optimizing bandwidth utilization, resolving the contradiction between device versatility and bandwidth efficiency.
Data Source
AI summary
Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.