WLAN Resource Allocation for Event-Driven Low-Latency Traffic
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Solution Overview
Problem
The unpredictability of event-driven latency-sensitive traffic in wireless local area networks makes it impossible to transmit through pre-scheduled resources, leading to inefficiencies and delays in low-latency data transmission.
Innovation Solution
A method and device for wireless communication that enables a latency-sensitive transmission prioritized mode, allowing stations to reserve frequency-domain units for buffer information reporting, enabling timely transmission of event-driven low-latency traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-scheduled resources are used for transmission, then resource allocation is simplified and stable, but latency-sensitive traffic cannot be transmitted timely due to unpredictability
Solution Approach 1:
The system dynamically switches between pre-scheduled resource allocation and on-demand resource allocation based on traffic characteristics. For latency-sensitive traffic, the station can request and obtain resources dynamically through buffer status reporting, while non-latency-sensitive traffic continues to use pre-scheduled resources, making the resource allocation system adaptive to different traffic requirements
Solution Approach 2:
The station performs preliminary actions by reporting buffer status information to the access point before actual data transmission. This allows the access point to allocate resources in advance for latency-sensitive traffic, reducing transmission delay while maintaining efficient resource management
2Productivity
If pre-scheduled resources are allocated, then resource management is efficient, but latency-sensitive traffic transmission is delayed due to unpredictability
Solution Approach 1:
The resource allocation is segmented into different types: pre-scheduled resources for non-latency-sensitive traffic and on-demand resources for latency-sensitive traffic. The station can report buffer status and request specific resources for latency-sensitive traffic, while other traffic continues to use pre-allocated resources, achieving both efficiency and timeliness
Solution Approach 2:
The system changes the resource allocation parameter from fixed pre-scheduled allocation to flexible on-demand allocation for latency-sensitive traffic. By introducing buffer status reporting and resource request mechanisms, the allocation parameters adapt to actual traffic needs, improving both productivity and reducing delay
3Loss of time
If on-demand resource allocation is implemented for latency-sensitive traffic, then transmission timeliness is improved, but system complexity increases
Solution Approach 1:
The access point acts as an intermediary that manages the complexity of on-demand resource allocation. Stations simply report buffer status and receive resource grants from the access point, which handles the complex resource management, scheduling, and allocation decisions, isolating complexity from individual stations
4Loss of time
If on-demand resource allocation is implemented, then transmission timeliness is improved, but resource management complexity increases
Solution Approach 1:
Stations perform self-service by autonomously monitoring their own buffer status and initiating resource requests when needed. The station independently determines when to report buffer status and what resources to request, reducing the need for complex centralized control while improving transmission timeliness
Data Source
AI summary
A method and device for wireless communication are provided. A latency-sensitive transmission first mode corresponding to a station (STA) is enabled by the STA and notified to the AP.