Intelligent Bandwidth Prioritization for Latency-Sensitive Traffic

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Solution Overview

Problem

Current network systems lack effective prioritization of internet traffic, leading to degraded performance for latency-sensitive applications due to unmanaged bandwidth allocation across multiple devices, resulting in poor quality of service for time-sensitive activities like video conferencing and online gaming.

Innovation Solution

An intelligent bandwidth prioritization manager is implemented to monitor, measure, and optimize bandwidth allocation, using machine learning to classify traffic flows and assign priority values based on application-specific data transfer patterns and user attendance, ensuring optimal performance for critical applications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If bandwidth is shared equally among all client devices without prioritization, then network fairness is maintained, but quality of service for latency-sensitive applications deteriorates

Engineering Contradiction:

Improvequality of serviceVSAvoidbandwidth management complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system dynamically changes bandwidth allocation parameters based on application type and user behavior. The prioritization manager modifies traffic handling parameters in real-time, assigning different priority levels to different applications (e.g., video conferencing, online gaming) based on their latency sensitivity and user attendance status, thereby improving QOS without requiring complex manual configuration

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The bandwidth management system operates autonomously using machine learning models that automatically classify traffic flows and allocate bandwidth without user intervention. The prioritization manager self-adjusts based on observed network conditions and application performance, eliminating the need for complex manual bandwidth management while maintaining high QOS for critical applications

Inventive Principle:

Principle #25Self-service

2Quantity of substance

If bandwidth is allocated to high-data-consumption applications, then data transfer volume increases, but network congestion and packet loss increase

Engineering Contradiction:

Improvedata transfer volumeVSAvoidnetwork performance

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system applies different bandwidth allocation qualities to different traffic flows based on their specific requirements. Latency-sensitive applications receive prioritized handling with guaranteed minimum bandwidth, while data-intensive but less time-sensitive applications receive standard allocation. This local differentiation allows high data transfer volumes without compromising overall network reliability

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The prioritization manager continuously monitors network conditions, application performance, and user behavior, using this feedback to dynamically adjust bandwidth allocation. When congestion is detected, the system automatically reconfigures priority levels and bandwidth distribution to prevent packet loss while maintaining necessary data transfer volumes for critical applications

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If manual bandwidth prioritization configuration is implemented, then traffic prioritization capability is achieved, but system complexity and user burden increase

Engineering Contradiction:

Improvetraffic prioritization capabilityVSAvoidconfiguration simplicity

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The bandwidth prioritization system operates autonomously using machine learning models that automatically classify traffic flows and allocate bandwidth without user intervention. The prioritization manager self-adjusts based on observed network conditions and application performance, eliminating the need for complex manual bandwidth management while maintaining high QOS for critical applications

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11863465B1Local network traffic prioritization for improved quality of service

Publication Date: 2024.01.02 COX COMMUNICATIONS INC

AI summary

Intelligent bandwidth prioritization and allocation are provided. Data about a local network and devices connected to the network may be collected, monitored, measured, and tracked over time for generating a profile about a subscriber. For example, the profile may comprise a data-based representation of the data transmission capabilities and data usages and behaviors associated with the subscriber network that can be used for identifying network performance issues, to determine traffic classification, classification criteria, and priority values for automatically classifying traffic flows, and to determine bandwidth allocation rules, optimizations, and other traffic management instructions that can be automatically implemented by the access point to optimize performance of data flows.