Data Packet Group Identification for Real-Time Communication
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Solution Overview
Problem
Existing communication systems face challenges in efficiently managing data transmission in scenarios requiring real-time performance, such as augmented reality and virtual reality, due to issues like varying scheduling delays, packet loss, excessive retransmission delays, peak rate exceedance, and lack of association between data packets in QoS flows.
Innovation Solution
A communication method involving a user plane network element and an access network device that identify and process data packet groups based on characteristic information, such as initial and tail packet features, sending intervals, and channel state information, to optimize scheduling and transmission resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data packets are transmitted without identification and grouping, then transmission simplicity is maintained, but transmission efficiency deteriorates due to varying scheduling delays and packet loss
Solution Approach 1:
The patent segments data packets into identifiable groups by introducing packet group identifiers and characteristic information marking. Each packet group is distinguished by specific features (initial packet, intermediate packets, tail packet), enabling targeted scheduling and transmission control without requiring complex retransmission protocols
Solution Approach 2:
The patent applies preliminary action by marking packet groups with characteristic information before transmission. The user plane network element identifies and marks packets with group identifiers and characteristics in advance, allowing the access network device to perform efficient scheduling and transmission without real-time analysis, thus improving transmission efficiency while maintaining manageable complexity
2Reliability
If retransmission protocols are implemented to ensure reliability, then data reliability improves, but transmission delay increases due to excessive retransmission delays
Solution Approach 1:
The patent performs preliminary classification and marking of data packets into groups with identical QoS requirements before transmission. By pre-identifying packet groups and their characteristics (initial, intermediate, tail packets), the system enables targeted retransmission strategies that reduce unnecessary retransmissions and associated delays while maintaining delivery reliability
Solution Approach 2:
The patent applies different scheduling and transmission strategies to different packet groups based on their specific characteristics. Initial packets, intermediate packets, and tail packets can be handled with appropriate priority and timing, ensuring reliable delivery of critical packets without uniformly applying complex retransmission protocols to all packets, thus reducing overall transmission delay
3Productivity
If peak rates are allowed to exceed for real-time services, then service quality improves, but network stability deteriorates due to excessive peak rate consumption
Solution Approach 1:
The patent changes the parameter of packet identification by introducing packet group identifiers and characteristic information. This enables the network to recognize and manage peak rate consumption at the packet group level, allowing controlled peak rate allocation for real-time services while maintaining overall network stability through systematic monitoring and management
4Measurement precision
If QoS flows are used without packet association, then flow management is simplified, but scheduling precision deteriorates due to varying scheduling delays
Solution Approach 1:
The patent segments QoS flows into identifiable packet groups by marking packets with group identifiers and characteristics. This segmentation enables precise scheduling at the packet group level while maintaining simplified flow management at the higher level, achieving scheduling precision without excessive complexity
Solution Approach 2:
The patent creates a universal packet marking mechanism that serves multiple functions: identifying packet groups, indicating QoS requirements, enabling scheduling precision, and facilitating reliability management. This multi-functional approach achieves scheduling precision without proportionally increasing system complexity
Data Source
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AI summary
This application provides a communication method, an apparatus, and a system. The method includes: A user plane network element receives characteristic information of a service data flow, where the characteristic information is used to describe a characteristic of the service data flow; the user plane network element identifies a data packet group in the service data flow based on the characteristic information of the service data flow; and the user plane network element sends the data packet group to an access network device. Based on this solution, the data packet group in the service data flow may be identified based on the pre-obtained characteristic information of the service data flow, so that corresponding processing can be further performed on the data packet group. This helps improve transmission efficiency of the service data flow.