Enhanced Traffic Model for Time-Sensitive Networking
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Solution Overview
Problem
Current Wi-Fi technologies, particularly EDCA, fail to provide low latency and jitter guarantees necessary for emerging time-sensitive applications like gaming, augmented reality, and industrial automation, as they lack mechanisms to prioritize packets based on deadlines and handle multiple traffic streams with different timing requirements.
Innovation Solution
An enhanced traffic model that introduces a higher layer re-ordering queue and flexible EDCA implementation, enabling multiple time-sensitive traffic streams to be mapped to a single access category and delivered according to different deadlines, ensuring bounded latency and jitter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional EDCA is used for wireless channel access, then general traffic can be transmitted, but low latency and jitter guarantees cannot be provided for time-sensitive applications
Solution Approach 1:
The patent segments the wireless network traffic into multiple access categories (AC0-AC7) with different QoS parameters. Each access category is further divided into multiple virtual queues (e.g., AC1 has virtual queues 1, 2, 3) that can be independently configured for different traffic streams. This segmentation allows simultaneous support for multiple traffic types with different latency requirements while maintaining overall network reliability.
Solution Approach 2:
The patent introduces a new dimension to the traditional EDCA structure by adding virtual queues within each access category. Instead of only having flat access categories, the patent creates a hierarchical structure where access categories contain multiple virtual queues that can be independently controlled. This dimensional expansion enables fine-grained QoS control for multiple traffic streams without sacrificing the simplicity of the original EDCA framework.
2Reliability
If average priorities are used in EDCA queues, then voice and video applications are supported, but worst case latency guarantees for individual packets cannot be ensured
Solution Approach 1:
The patent implements preliminary action by pre-configuring multiple virtual queues within each access category before traffic arrives. Each virtual queue is pre-assigned specific QoS parameters including latency bounds and priority levels. When time-sensitive packets arrive, they are immediately routed to the appropriate pre-configured virtual queue based on their deadline requirements, eliminating the need for complex real-time queue management decisions and ensuring worst-case latency guarantees.
Solution Approach 2:
The patent introduces virtual queues as intermediary structures between the access category and the actual packet transmission. These virtual queues act as mediators that buffer and manage packets with different deadline requirements within the same access category. The intermediary virtual queues simplify the management complexity by providing a structured layer that automatically handles priority-based scheduling and latency guarantee enforcement.
3Adaptability or versatility
If multiple time-sensitive traffic streams are mapped to different access categories, then latency requirements can be differentiated, but the flexibility to share a single access category is lost
Solution Approach 1:
The patent segments each access category into multiple virtual queues, allowing multiple time-sensitive traffic streams to be mapped to the same access category while maintaining their individual latency requirements. For example, AC1 can contain virtual queues 1, 2, and 3, each handling different traffic streams with different deadlines. This segmentation provides both the flexibility of shared access categories and the reliability of differentiated latency treatment.
Solution Approach 2:
The patent makes access categories universal by enabling them to serve multiple functions simultaneously. Each access category can handle both traditional best-effort traffic and multiple time-sensitive traffic streams through its virtual queues. This multi-functionality allows a single access category to accommodate diverse traffic types with different QoS requirements, enhancing both flexibility and reliability.
Data Source
AI summary
This disclosure describes systems, methods, and devices related to enhanced traffic model. A device may maintain, at an upper layer, a self-ordering queue associated with one or more time sensitive packets associated with times sensitive traffic streams. The device may transmit the one or more time sensitive packets from the self-ordering queue to a TSN queue at a lower layer. The device may control one or more enhanced distributed channel access (EDCA) queues by using a control function. The device may transmit the one or more time sensitive packets to a first station device.