MLD Statistic Reporting for Accurate Multi-Link Traffic Scheduling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing MLD architectures face issues in accurately determining and reporting MLD-level statistics and delay information, leading to incorrect decision-making in traffic scheduling and load balancing due to reliance on link-level statistics which can be misleading.
Innovation Solution
MLDs are equipped with mechanisms to determine and transmit MLD-level statistics and delay information upon request from another MLD, using specific frames and primitives to ensure accurate reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If MLDs use link-level statistics for traffic scheduling and load balancing, then device complexity is reduced, but measurement precision deteriorates leading to incorrect decision-making
Solution Approach 1:
The patent segments MLD-level statistics collection into two parts: (1) individual link-level statistics are collected separately by each link, and (2) the MLD aggregates these link-level statistics to generate MLD-level statistics. This segmentation allows the system to maintain simple link-level monitoring while achieving accurate MLD-level measurements through structured aggregation of per-link data including packet counters, byte counters, and delay measurements from each individual link.
2Measurement precision
If MLDs implement MLD-level statistics aggregation, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent implements a universal statistics aggregation mechanism where the MLD uses a standardized aggregation process that can handle multiple link types and multiple statistical parameters uniformly. The aggregation function universally processes link-level statistics from any number of links to produce MLD-level statistics, enabling the same mechanism to serve traffic scheduling, load balancing, and network management functions across diverse multi-link configurations without requiring separate handling for each scenario.
3Loss of information
If MLDs report detailed MLD-level statistics, then information completeness improves, but loss of time increases due to additional reporting overhead
Solution Approach 1:
The patent implements periodic reporting where MLDs collect and aggregate statistics over defined measurement intervals, then report MLD-level statistics at regular periods rather than continuously. The system accumulates link-level statistics during measurement windows and generates MLD-level reports periodically, reducing the frequency of reporting transmissions while ensuring comprehensive statistics are captured. This periodic approach balances information completeness with reduced reporting overhead and latency.
Data Source
AI summary
Embodiments of the present disclosure relate to MLDs, methods, apparatuses and computer readable storage media for request and report of MLD level statistic and delay information. An MLD determines at least one of statistic information associated with the MLD or delay information associated with the MLD. In response to receiving a request for the at least one of the statistic information or the delay information from a second MLD, the MLD transmits the at least one of the statistic information or the delay information to the second MLD.