PDAP Reflective QoS Mapping for Terminal Processing Load Reduction
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Solution Overview
Problem
Next-generation mobile communication systems face challenges in providing efficient flow-based quality of service (QoS) support, lacking an effective interface for mapping QoS flows onto data radio bearers, which increases terminal complexity and leads to unnecessary operations.
Innovation Solution
The introduction of a new packet data association protocol (PDAP) enables the marking and mapping of QoS flow identifiers onto data radio bearers, allowing for reflective QoS operations that reduce terminal complexity by preventing repetitive operations during data radio bearer mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a new packet data association protocol (PDAP) is introduced to support flow-based QoS mapping, then QoS support capability is improved, but device complexity increases
Solution Approach 1:
The terminal performs reflective QoS operations autonomously by using the QoS flow ID received from the base station to automatically map uplink data to the correct data radio bearer, eliminating the need for complex base station-controlled mapping procedures and reducing overall system complexity
Solution Approach 2:
The base station pre-configures the QoS flow ID in downlink data packets, enabling the terminal to perform mapping operations in advance without requiring complex real-time negotiation or control signaling during data transmission
2Manufacturing precision
If QoS flow ID marking is performed on all downlink data packets, then QoS mapping accuracy is improved, but processing load increases
Solution Approach 1:
Instead of marking QoS flow IDs on all downlink packets, the system applies marking only when necessary for reflective QoS operations, reducing processing overhead while maintaining sufficient mapping accuracy for QoS management
Solution Approach 2:
The terminal provides feedback to the base station about its QoS mapping status and capabilities, allowing the base station to adjust the extent of QoS flow ID marking based on actual network conditions and terminal needs, optimizing the balance between accuracy and processing load
Data Source
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AI summary
Disclosed is a communication method and system for converging a fifth generation (5G) communication system for supporting higher data rates beyond a fourth generation (4G) system with the Internet of things (IoT) technology. The present disclosure may be applied to intelligent services based on 5G and based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car or connected car, health care, digital education, smart retail, security and safety services. The present disclosure relates to a next-generation mobile communication system, and more particularly, to a method for providing a flow-based quality of service (QoS).