Wireless Trigger Frames with Traffic Identifiers for QoS
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Solution Overview
Problem
Existing systems struggle to provide high-resolution traffic differentiation and quality of service (QoS) for wireless traffic streams in artificial reality environments, leading to issues like motion sickness due to latency inconsistencies.
Innovation Solution
A mechanism is introduced for devices to trigger reporting based on specific Traffic Identifiers (TIDs) directly, allowing for higher resolution traffic stream identification and improved QoS, particularly within restricted Target Wake Time (TWT) schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing wireless systems use traditional traffic differentiation methods, then system complexity is kept simple, but traffic stream identification resolution is insufficient leading to latency inconsistencies
Solution Approach 1:
The patent segments the traffic identification process by introducing specific Traffic Identifier (TID) fields within frame structures. Each frame can carry specific TID information to differentiate traffic streams at a granular level, enabling high-resolution traffic identification without requiring complete redesign of the wireless protocol stack.
Solution Approach 2:
The patent adds a new dimension to traffic differentiation by incorporating TID fields as an additional layer of identification within the existing frame structure. This allows multiple traffic streams to be differentiated simultaneously through the TID dimension, achieving high-resolution identification while maintaining compatibility with existing frame formats.
2Measurement precision
If traditional QoS mechanisms are used without TID-based triggering, then ease of operation is maintained, but QoS precision for specific traffic streams deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-defining TID fields and trigger frame structures that carry specific traffic identifier information. This allows the system to be prepared for precise QoS differentiation in advance, so when traffic streams need differentiation, the infrastructure is already in place to handle it without adding operational complexity.
Solution Approach 2:
The patent introduces trigger frames with TID fields as intermediaries between the access point and stations. These trigger frames carry specific TID information that mediates the QoS differentiation process, allowing precise QoS control for specific traffic streams while maintaining simple operation through standardized frame exchange procedures.
3Reliability
If latency-sensitive traffic is not prioritized with high-resolution identification, then device complexity remains low, but reliability of artificial reality experience deteriorates causing motion sickness
Solution Approach 1:
The patent applies local quality by assigning specific TID values to different traffic streams based on their QoS requirements. Latency-sensitive traffic such as artificial reality video streams can be assigned dedicated TIDs that enable prioritized handling, ensuring high reliability for critical traffic while keeping the differentiation mechanism localized to specific frame fields rather than requiring system-wide complexity.
Data Source
AI summary
A device may include one or more processors configured to determine a first traffic identifier of a first wireless traffic stream, from a plurality of traffic identifiers. The one or more processors may be configured to generate a first frame including the first traffic identifier. The first frame may be to trigger a receiver device to send a response frame that includes quality of service (QoS) data corresponding to the first wireless traffic stream. The one or more processors may be configured to wirelessly transmit, via a transmitter, the generated first frame to the receiver device.