Device-Assisted Services for Network Capacity Protection
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Solution Overview
Problem
The increasing demand for network capacity in wireless and wireline networks is outpacing available resources, leading to network congestion and degraded performance due to high bandwidth consumption by devices, especially smartphones and general-purpose Internet devices, which results in poor service experiences for users and increased costs for service providers.
Innovation Solution
Implementing Device Assisted Services (DAS) that utilize intelligent network monitoring and device-based service processors to manage network service usage, classify network service activities, and apply differential control policies to reduce demand on network resources, thereby protecting network capacity and maintaining user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If devices consume high bandwidth for digital networking applications and content distribution, then user capacity and service quality improve, but network capacity is exhausted and service provider costs increase
Solution Approach 1:
The system dynamically changes network access parameters by adjusting service usage control policies based on real-time network conditions. The service processor modifies parameters such as access priority, bandwidth allocation, and service thresholds to optimize network capacity utilization while maintaining user productivity.
Solution Approach 2:
The system implements continuous feedback loops where the service processor monitors network usage, assesses current network conditions, and adjusts control policies accordingly. This feedback mechanism enables dynamic optimization of network capacity allocation in response to changing demand patterns.
2Ease of operation
If network service usage is unrestricted to meet growing demand, then user experience improves, but network congestion increases and performance degrades
Solution Approach 1:
The system transitions from static network access control to dynamic control where service usage policies are continuously adjusted based on real-time network conditions. The service processor dynamically modifies access parameters to maintain network reliability while preserving user experience.
Solution Approach 2:
The service processor on the device autonomously monitors and controls its own network service usage, making local decisions about service access without requiring constant network intervention. This self-service approach maintains user experience while preventing network congestion.
3Quantity of substance
If device-based service processors implement intelligent monitoring and control, then network capacity is protected and costs are reduced, but device complexity increases
Solution Approach 1:
The service processor acts as an intermediary layer between the device and the network, handling complex monitoring and control functions locally. This intermediary approach protects network capacity by filtering and managing service usage requests before they reach the network infrastructure.
Solution Approach 2:
The device's service processor autonomously performs network service usage monitoring and control without requiring complex external management systems. This self-service capability protects network capacity while keeping the overall system architecture relatively simple.
Data Source
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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.