Wi-Fi 6 Uplink Scheduling by Traffic Size and Urgency
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Solution Overview
Problem
Wi-Fi 6 access points lack the ability to accurately determine the most suitable scheduling manner for uplink traffic due to insufficient information on traffic size and urgency, leading to inefficient resource allocation and potential delays.
Innovation Solution
Implementing a method for Wi-Fi 6 access points to determine the type of uplink traffic based on station type and traffic characteristics, such as size and urgency, to optimize scheduling using UL-OFDMA, UL-MU-MIMO, or UORA, thereby improving resource allocation and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the AP schedules UL traffic based only on queue size, then the scheduling process is simple, but the scheduling accuracy is insufficient
Solution Approach 1:
The patent changes the parameters used for scheduling from only queue size to multiple parameters including traffic size, urgency, and station type. This allows the AP to make more accurate scheduling decisions by considering the characteristics of different traffic types (e.g., voice, video, data) and their respective priorities, thereby resolving the contradiction between simplicity and accuracy.
2Device complexity
If the AP uses random back-off mechanism for UL traffic, then the system is simple to implement, but the resource allocation efficiency is low
Solution Approach 1:
The patent enables stations to self-report their traffic characteristics (size, urgency, type) to the AP. This self-service mechanism allows the AP to gather necessary information for accurate scheduling without increasing system complexity, thereby improving resource allocation efficiency while maintaining implementation simplicity.
3Device complexity
If the AP schedules all STAs uniformly, then the scheduling process is simple, but the user experience varies poorly
Solution Approach 1:
The patent applies local quality by differentiating scheduling strategies based on individual station characteristics and traffic types. Different STAs receive customized scheduling treatments according to their specific needs (e.g., voice traffic gets higher priority than data traffic), which improves user experience quality while the AP manages this differentiation through systematic parameter collection and evaluation.
4Measurement precision
If the AP collects detailed traffic information from each STA, then the scheduling accuracy improves, but the information collection overhead increases
Solution Approach 1:
The patent extracts only the essential traffic characteristics (size, urgency, type) that are necessary for accurate scheduling decisions. By selecting and collecting only these key parameters rather than all possible traffic information, the AP achieves high scheduling accuracy while minimizing information collection overhead and processing burden.
Data Source
AI summary
In implementations of the present disclosure, there is provided an approach for scheduling uplink traffic of a station. A method comprises determining a type of uplink traffic from a station (STA), wherein the type of uplink traffic is associated with a traffic size and an urgency. The method further comprises determining uplink scheduling information for the STA based on the traffic size and the urgency, wherein the uplink scheduling information indicates at least one of: a UL-OFDMA scheduling manner or a UL-MU-MIMO scheduling manner. The method further comprises sending the uplink scheduling information to the STA, and receiving uplink traffic from the STA using the uplink scheduling information. Implementations of the present disclosure can help AP to schedule the STA(s) more intelligent, effective and accurate, and thus the user experience can be enhanced and the transmission performance can be improved.