AI-Based TID-to-Link Mapping for AP MLD Traffic Prioritization
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Solution Overview
Problem
The negotiation efficiency for TID-to-link mapping in multi-link devices is low due to the lack of knowledge of the receiving end's requirements, hindering quick establishment of the mapping relationship, and existing mechanisms struggle to prioritize delay-sensitive traffic streams in dynamic network environments.
Innovation Solution
Implementing a first network model, such as an AI/ML model, on the AP MLD to determine TID-to-link mapping information, predicting optimal link sets for delay-sensitive and non-delay-sensitive traffic streams, and broadcasting this information to associated Non-AP MLDs using beacon or association frames, thereby enhancing mapping efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a negotiation mechanism is used to establish TID-to-link mapping between multi-link devices, then the mapping relationship can be established through request-response processes, but the negotiation efficiency is low because the sending end does not know the receiving end's requirements
Solution Approach 1:
The receiving end pre-generates multiple candidate TID-to-link mapping relationships and stores them in a cache before the negotiation process begins. When a negotiation request is received, the receiving end can immediately provide pre-prepared mapping options, eliminating the need for time-consuming real-time computation during negotiation and thus improving negotiation efficiency.
Solution Approach 2:
The system dynamically adapts the TID-to-link mapping based on real-time network conditions and traffic requirements. The receiving end maintains a cache of multiple candidate mappings that can be quickly selected and adjusted according to current network state, enabling flexible and efficient negotiation without rigid predetermined mappings.
2Reliability
If traditional TID-to-link mapping mechanisms are used, then the mapping can be established through simple request-response exchanges, but the mechanism cannot effectively prioritize delay-sensitive traffic streams in dynamic network environments
Solution Approach 1:
The system changes the mapping parameters dynamically based on traffic characteristics and network conditions. For delay-sensitive traffic, the system selects mapping relationships that prioritize these streams by adjusting which TIDs are mapped to which links based on current network state, traffic priorities, and performance requirements, enabling effective QoS differentiation.
Solution Approach 2:
The receiving end pre-calculates and caches multiple candidate TID-to-link mapping relationships that consider different traffic priority scenarios. These pre-computed mappings include configurations optimized for delay-sensitive traffic, allowing the system to quickly switch to appropriate priority-based mappings when such traffic is detected without requiring complex real-time optimization.
Data Source
AI summary
A wireless communication method includes: determining, by an AP MLD. TID-to-link mapping information via a first network model; where the TID-to-link mapping information is used to indicate a link to which each TID of multiple TIDs is mapped.