Intelligent Network Edge Traffic Management via DPI and TPM
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Solution Overview
Problem
Existing network traffic and signaling management technologies face challenges in efficiently managing congestion at the network edge, leading to increased costs, reduced quality of experience for users, and difficulties in ensuring fair traffic handling across all users, particularly with the rise of advanced IP-based endpoints like smartphones and smart devices.
Innovation Solution
The implementation of a system and method for intelligent network edge traffic and signaling management, which involves receiving network traffic flow information, determining control commands based on this data, and communicating these commands to network elements to control traffic at the edge, using a DPI module with TPM functionality deployed at the network core and extended to RAN edge equipment to manage congestion dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If macro level traffic throttling is implemented to manage congestion, then network infrastructure costs are reduced, but quality of experience for end users deteriorates
Solution Approach 1:
The patent segments traffic management from macro level to edge level by deploying TPM systems at Gi interface and extending to RAN edge equipment. This allows localized congestion control at specific network segments (NodeB, RNC, Iub interfaces) rather than network-wide throttling, preserving user experience while managing costs effectively.
Solution Approach 2:
The patent implements local quality by enabling congestion management at specific RAN segments and network elements where congestion actually occurs. The system identifies and manages congestion at individual NodeB elements, RNC elements, or Iub interfaces rather than applying uniform network-wide controls, thus maintaining quality of experience for users not affected by local congestion.
2Reliability
If network-wide infrastructure scale improvements are implemented to manage congestion, then quality of service is improved, but network operator costs increase
Solution Approach 1:
The patent implements preliminary action by deploying TPM systems at the Gi interface and RAN edge equipment in advance. This proactive deployment enables real-time monitoring and control of traffic flows before congestion occurs or escalates, preventing the need for costly reactive infrastructure scale improvements while maintaining quality of service.
Solution Approach 2:
The patent enables self-service by implementing automated congestion management at the network edge through TPM systems. The system autonomously monitors traffic flows, detects congestion conditions, and applies control policies without requiring manual intervention or large-scale infrastructure upgrades, thus improving quality of service cost-effectively.
3Ease of operation
If edge level congestion management is implemented, then fair traffic handling across users is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by designing TPM systems with multi-functionality that can operate at multiple network levels (Gi interface, NodeB, RNC, Iub interfaces). This standardized multi-functional approach enables fair traffic handling across diverse RAN segments and network elements without requiring complex custom solutions for each device, thus improving ease of operation while controlling complexity.
Data Source
AI summary
Systems and methods for intelligent network edge traffic and signaling management are disclosed. According to an aspect, a method for controlling network edge traffic may include receiving network traffic flow information from a network element. The method may also include determining a control command for a network edge element based on the network traffic flow information. Further, the method may include communicating the control command to a network for control of network traffic at an edge.