Wi-Fi Multi-Link Mode Selection for Application-Aware Load Balancing
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Solution Overview
Problem
Conventional Wi-Fi systems lack the ability to dynamically select optimal multi-link operation (MLO) modes and load balancing options based on application types and WLAN performance characteristics, leading to inefficient data transmission and reception.
Innovation Solution
A mechanism that allows non-AP and AP multi-link devices to select the most suitable MLO mode and load balancing option by considering application characteristics and WLAN performance characteristics, using information from lower layers to determine the optimal configuration for each application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If MLO modes are selected based on fixed conventional rules, then device complexity is reduced, but communication efficiency deteriorates
Solution Approach 1:
The patent implements dynamic MLO mode selection that adapts to changing network conditions and application requirements. The system continuously monitors lower-layer information and application types, then dynamically adjusts the selected MLO mode (STR, NSTR, or eMLSR) to optimize communication efficiency for current conditions rather than using fixed conventional rules.
Solution Approach 2:
The patent employs feedback mechanisms where the system monitors lower-layer information and application performance characteristics, then uses this feedback to intelligently select optimal MLO modes. The feedback loop enables the system to learn from past performance and continuously improve mode selection decisions, resolving the contradiction between simplicity and efficiency.
2Productivity
If dynamic MLO mode selection based on lower-layer information is implemented, then communication efficiency is improved, but device complexity increases
Solution Approach 1:
The patent enables the wireless communication system to self-select optimal MLO modes by autonomously analyzing lower-layer information and application requirements. The system performs self-diagnosis and self-optimization without requiring complex external control mechanisms, thereby improving network efficiency while keeping the selection mechanism relatively simple through intelligent autonomous decision-making.
3Adaptability or versatility
If MLO modes are selected without considering application types, then ease of operation is maintained, but adaptability deteriorates
Solution Approach 1:
The patent applies local quality by tailoring MLO mode selection to specific application types and their unique requirements. Different applications (e.g., video streaming, gaming, file transfer) receive customized mode selections based on their specific performance needs, rather than applying a uniform operation mode to all applications. This localized optimization achieves high adaptability while maintaining operational simplicity through automated classification.
Data Source
AI summary
Techniques for intelligent multi-link operation (MLO) mode selection are provided. One or more metrics for wireless communication in a wireless network is collected. A set of multi-link operation (MLO) modes available for the wireless communication between a station multi-link device (STA MLD) and a first access point multi-link device (AP MLD) in the wireless network is determined. A first MLO mode of the set of MLO modes is selected based on the one or more collected metrics. The wireless communication is performed using the selected first MLO mode.