Link Aggregation via Historical Resource Allocation Prioritization

Solution Overview

Problem

Current link aggregation methods in electronic devices randomly select wireless networks, lacking an intelligent approach to prioritize networks based on historical resource allocation records, which affects network performance and stability.

Innovation Solution

The method involves obtaining multiple wireless networks, determining target historical records of network resource allocation for foreground applications, and prioritizing them based on allocation ratio coefficients to select the best networks for link aggregation, ensuring improved network performance and stability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If link aggregation is performed by randomly selecting wireless networks, then the implementation is simple, but the network performance and stability are poor

Engineering Contradiction:

Improveimplementation simplicityVSAvoidnetwork stability

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system performs preliminary actions by collecting historical resource allocation records from multiple wireless networks before performing link aggregation. These historical records include information about resource allocation ratios, network performance metrics, and allocation coefficients. By analyzing this pre-collected data, the system determines priority orders for different wireless networks, ensuring that when link aggregation is executed, the selection is based on proven performance rather than randomness, thus improving network stability while maintaining implementation feasibility

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system performs preliminary actions by collecting historical resource allocation records from multiple wireless networks before performing link aggregation. These historical records include information about resource allocation ratios, network performance metrics, and allocation coefficients. By analyzing this pre-collected data, the system determines priority orders for different wireless networks, ensuring that when link aggregation is executed, the selection is based on proven performance rather than randomness, thus improving network stability while maintaining implementation feasibility

Inventive Principle:

Principle #10Preliminary action

2Ease of manufacture

If link aggregation is performed by randomly selecting wireless networks, then the implementation is simple, but the network performance is poor

Engineering Contradiction:

Improveimplementation simplicityVSAvoidnetwork performance

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system implements a feedback mechanism by continuously collecting historical resource allocation records from wireless networks, analyzing the allocation coefficients and resource distribution patterns, and using this feedback information to determine priority orders. This closed-loop approach ensures that networks with better historical resource allocation performance are selected first for link aggregation, thereby improving overall network performance while maintaining a relatively simple implementation through automated analysis and selection

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system changes the selection parameter from random choice to priority-based selection determined by historical resource allocation records. By analyzing parameters such as allocation coefficients, resource distribution ratios, and network performance metrics from historical data, the system dynamically adjusts the selection criteria to prioritize networks that have demonstrated better resource allocation performance, thus improving network productivity

Inventive Principle:

Principle #35Parameter changes

3Extent of automation

If historical records of network resource allocation are analyzed to determine priority order, then network intelligence is improved, but the system complexity increases

Engineering Contradiction:

Improvenetwork intelligenceVSAvoidsystem complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The system implements self-service by automatically collecting, analyzing, and processing historical resource allocation records without requiring manual intervention. The electronic device autonomously determines priority orders based on the analyzed data, selecting wireless networks for link aggregation based on the determined priorities. This automation improves network intelligence while keeping the system relatively simple by eliminating the need for complex manual configuration and decision-making processes

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11973684B2Link aggregation implementation method and related product

Publication Date: 2024.04.30 GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP LTD

AI summary

The disclosure provides a method for implementing link aggregation. Multiple wireless networks are obtained by performing network search. Each wireless network corresponds to a respective access point device and a respective historical record of network resource allocation corresponding to a link aggregation. A respective target historical record of network resource allocation corresponding to each of at least one foreground application is determined from multiple historical records of network resource allocation. Multiple target historical records are obtained. Each wireless network corresponds to a respective target historical record. A priority order of the wireless networks is determined based on the multiple target historical records. A link aggregation is performed by selecting at least two wireless networks from the multiple wireless networks based on the priority order.