Per-Packet Traffic Shaping for Multi-Flow QoS Prioritization
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently prioritizing and shaping data flows based on packet-specific characteristics and network signaling, leading to suboptimal quality of service and experience.
Innovation Solution
A wireless transmit/receive unit (WTRU) performs multi-flow prioritization and shaping by determining packet-specific traffic shaping parameters, including quality of service and experience profiles, and applying these parameters based on packet conditions and network indications, with the ability to exclude certain packets from shaping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If per packet traffic shaping is applied to all data packets, then quality of service is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent segments traffic shaping processing by dividing data packets into different QoS flows, where each flow receives appropriate shaping treatment based on its characteristics. This allows selective application of traffic shaping only where needed, reducing overall processing overhead while maintaining QoS for critical flows.
Solution Approach 2:
The patent implements differential traffic shaping where different packets within the same data flow can receive different shaping treatments based on packet-specific characteristics such as priority, type, or content. This local quality approach ensures that only packets requiring special handling undergo complex shaping processing.
2Reliability
If multiple QoS classifiers are used for packet differentiation, then quality of experience is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic QoS classification where the WTRU can adaptively select and apply different QoS classifiers based on current network conditions, packet characteristics, and service requirements. This dynamic approach allows the system to use multiple classifiers when needed while falling back to simpler classification mechanisms when sufficient, balancing QoE with device complexity.
Data Source
AI summary
Systems, methods, and instrumentalities are described herein associated with multi-flow prioritization and shaping. Per packet treatment for traffic shaping (e.g., UL traffic shaping) may be performed. Per packet treatment for traffic shaping may be performed based on a characteristic/condition associated with a data packet. Per packet treatment for traffic shaping may be performed based on a network signaling. Exclusion from traffic shaping may be determined, for example, on a per packet basis (e.g., based on a characteristic/condition associated with a data packet).