HARQ Feedback Reliability Grading for 5G URLLC Load Reduction
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Solution Overview
Problem
The high reliable Hybrid Automation Repeat Request (HARQ) feedback in 5G communications, particularly for Ultra-Reliable and Low Latency Communications (URLLC) services, generates a significant load due to its extremely high reliability requirements, which can be inefficient especially when dealing with small packet sizes, impacting overall system load.
Innovation Solution
A method to determine the reliability grade of HARQ feedback based on delay information and feedback type, allowing for exemption or adjustment of HARQ feedback transmission, using different resources and reliability grades for HARQ ACK and NACK, and employing timers to manage feedback transmission effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If extremely high reliable HARQ feedback is applied for URLLC traffic, then reliability of feedback transmission is improved, but system load increases significantly
Solution Approach 1:
The patent applies different reliability grades to different feedback scenarios: extremely high reliability for critical NACK feedback and normal reliability for ACK feedback. This local differentiation ensures that only the necessary feedback transmissions consume excessive resources, resolving the contradiction between overall reliability and system load.
Solution Approach 2:
The patent dynamically adjusts the reliability grade of HARQ feedback based on real-time conditions such as feedback type (ACK/NACK), delay information, and service requirements. This dynamic adaptation allows the system to maintain high reliability when needed while reducing load during less critical transmissions.
2Measurement precision
If HARQ feedback transmission is performed with extremely high reliability for all packets, then feedback accuracy is improved, but control channel load increases compared to data traffic
Solution Approach 1:
The patent applies different reliability grades to different feedback scenarios: extremely high reliability for critical NACK feedback and normal reliability for ACK feedback. This local differentiation ensures that only the necessary feedback transmissions consume excessive resources, resolving the contradiction between overall reliability and system load.
Solution Approach 2:
The patent applies extremely high reliability measures only partially - specifically for NACK feedback where accuracy is critical - rather than excessively applying it to all feedback types. This selective application reduces control channel load while maintaining necessary accuracy where required.
3Reliability
If HARQ feedback is transmitted for every small packet, then reliability is maintained, but the ratio of control channel load to data traffic increases
Solution Approach 1:
The patent applies different reliability grades to different feedback scenarios: extremely high reliability for critical NACK feedback and normal reliability for ACK feedback. This local differentiation ensures that only the necessary feedback transmissions consume excessive resources, resolving the contradiction between overall reliability and system load.
Solution Approach 2:
The patent applies extremely high reliability measures only partially - specifically for NACK feedback where accuracy is critical - rather than excessively applying it to all feedback types. This selective application reduces control channel load while maintaining necessary accuracy where required.
Data Source
AI summary
A method and device for transmitting feedback information. The method includes: determining feedback type information and/or delay information when data is transmitted by a network device; and determining a reliability grade of a feedback transmission or that the feedback transmission is exempted at a certain situation, according to the delay information and/or the feedback type information. Therefore, HARQ feedback load may be reduced without impacting HARQ performances.