QoS Algorithm Selection for Hyper-Precision Communication Latency
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Solution Overview
Problem
Hyper-precision communication services (HPS) face degradation in quality due to increased delay and latency during packet transmission, particularly in 5G-Advanced and 6G networks, resulting from high bandwidth requirements and low network processing rates.
Innovation Solution
A method and apparatus that apply a quality-of-service (QoS) profile with performance parameters and select optimal algorithms like PRIO, CBS, MQPRIO, TAPRIO, and TAPRIO+ETF to minimize delay and latency by using UDP and socket communication, ensuring timely and high-quality data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TCP/IP protocol is used for packet transmission, then reliability is improved, but delay and latency increase greatly
Solution Approach 1:
The patent changes the protocol parameter from TCP to UDP, fundamentally altering the transmission mechanism to reduce delay and latency while maintaining acceptable reliability for HPS through QoS mechanisms
Solution Approach 2:
The system dynamically selects different QoS algorithms (PRIO, CBS, MQPRIO, TAPRIO, TAPRIO+ETF) based on network conditions and service requirements, allowing adaptive optimization of the transmission path to balance reliability and latency
2Productivity
If high bandwidth is allocated for HPS transmission, then data rate is improved, but network processing rate decreases causing delay
Solution Approach 1:
The patent segments network traffic into different priority classes using QoS mechanisms, allowing HPS packets to be processed separately from general traffic, thus achieving high bandwidth allocation without proportionally increasing processing delay through prioritized handling
Solution Approach 2:
The QoS algorithm acts as an intermediary between high bandwidth requirements and network processing capabilities, managing packet flow and priority to ensure that increased data rates do not linearly increase processing delays
3Loss of time
If optimal QoS algorithm is selected for HPS type, then delay and latency are reduced, but system complexity increases
Solution Approach 1:
The system performs preliminary classification of HPS types and pre-configures appropriate QoS algorithms, so that when transmission occurs, the optimal algorithm is already in place, reducing real-time decision complexity while maintaining low latency
Data Source
AI summary
Provided are a networking system for data transmission in a host supporting quality assurance of hyper-precision communication services (HPSs), and more particularly, to a networking method and apparatus in a host of a networking system supporting quality assurance of HPSs. The networking method includes receiving a request for an HPS from a client, checking a descriptor of the HPS in a quality-of-service (QoS) profile of the HPS requested by the client, applying a performance parameter, and selecting an optimal algorithm suitable for a type of the HPS requested by the client.