Network Traffic Policing System for Congestion Management
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Solution Overview
Problem
Next-generation wireless networks face congestion issues due to high-bandwidth users and applications, as well as faulty devices, which can lead to service degradation, network outages, and inefficient resource utilization, as traditional traffic policing methods like token bucket algorithms are insufficient in diagnosing and addressing these problems.
Innovation Solution
A network traffic policing system (NTPS) that monitors key traffic characteristics beyond data usage, using a hierarchical architecture to enforce policy actions such as dropping, delaying, or downgrading non-compliant users, applications, or traffic flows, without requiring substantial hardware changes to existing networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional token bucket algorithms are used for traffic policing, then network resource usage can be monitored, but the system cannot effectively diagnose and address congestion caused by faulty devices or resource-intensive applications
Solution Approach 1:
The patent segments the traffic policing system into multiple functional components: a monitoring component that collects traffic data, an analysis component that identifies problematic patterns, and an enforcement component that applies remediation actions. This segmentation enables the system to perform both basic monitoring and advanced diagnostics simultaneously, resolving the contradiction between measurement precision and adaptability.
Solution Approach 2:
The system implements a universal traffic policing framework that can handle multiple types of network issues (congestion, faulty devices, resource-intensive applications) through a single integrated platform. The analysis component uses pattern recognition to identify various problem types, and the enforcement component applies appropriate remediation actions, providing both precise monitoring and versatile diagnostic capabilities.
2Productivity
If comprehensive traffic monitoring and policy enforcement are implemented, then network efficiency and service quality improve, but the system complexity and hardware requirements increase
Solution Approach 1:
The system implements dynamic policy enforcement where remediation actions are selected and applied in real-time based on the specific traffic patterns and congestion conditions detected. The analysis component continuously monitors network state and adjusts enforcement strategies accordingly, allowing the system to maintain high network efficiency while adapting complexity only when needed rather than maintaining maximum complexity continuously.
Solution Approach 2:
The patent introduces an intermediary analysis component that sits between the monitoring and enforcement functions. This intermediary analyzes traffic patterns and determines appropriate remediation actions, simplifying the overall system architecture by decoupling monitoring from enforcement and allowing each component to remain relatively simple while the integrated system achieves high efficiency.
3Reliability
If policy actions such as dropping or delaying traffic are enforced, then congestion is reduced and network outages are prevented, but service quality for individual users may be degraded
Solution Approach 1:
The system applies partial enforcement of policy actions by selectively applying remediation measures only to identified problematic traffic flows rather than uniformly to all traffic. The analysis component identifies specific users or applications causing congestion and applies dropping or delaying actions only to their traffic, maintaining network stability while minimizing service degradation for compliant users.
Solution Approach 2:
The patent implements local quality control by applying different enforcement strategies to different traffic flows based on their specific characteristics and the nature of the congestion they cause. The system can apply more aggressive actions to faulty devices while using gentler actions for resource-intensive applications, optimizing the balance between network stability and service quality for each local situation.
Data Source
AI summary
A system may include a network traffic policing system configured to monitor resource intensive users and applications of a wireless communication network. The network traffic policing system may include a processing device configured to determine policy actions; and a plurality of policy nodes in communication with the processing device and configured to: gather statistics regarding key variables of the wireless communication network, the statistics including at least one non-data usage variable, forward updated information relating to the key variables to the processing device, and enforce at least one policy action determined by the processing device.