PDU Error Probability Feedback for Real-Time 5G URLLC Optimization
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G URLLC, face challenges in optimizing network performance due to the need for ultra-high reliability and low latency, which requires extensive measurement collection for error probability statistics, leading to prolonged optimization times and potential disruption of critical applications.
Innovation Solution
A new feedback mechanism is introduced to estimate protocol data unit (PDU) error probability at various radio layers, allowing for real-time performance evaluation by tracking code blocks and calculating PDU error probability based on block error probability estimates, enabling efficient reporting and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive measurement collection is performed for error probability statistics, then measurement precision is improved, but time consumption increases
Solution Approach 1:
The patent implements a feedback mechanism where the network node receives error probability measurements from user equipment and uses this feedback to continuously optimize transmission parameters. The user equipment measures block error probabilities and feeds back to the network node, which adjusts modulation and coding schemes based on this real-time feedback, eliminating the need for extensive offline measurement collection.
Solution Approach 2:
The user equipment performs self-measurement of block error probabilities using its own received signals and automatically generates measurement reports. This self-service approach allows the system to obtain accurate error probability statistics without requiring external testing equipment or extensive network-side measurement infrastructure.
2Productivity
If real-time performance evaluation is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent divides the error probability measurement and reporting process into distinct segments: the user equipment segments handle measurement and local calculation, while the network node segments handle optimization decisions. This segmentation allows real-time performance evaluation without requiring complex interactions across the entire system, as each segment performs its function independently based on standardized procedures.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for error probability feedback are provided. One method may include transmitting, to at least one user equipment, a configuration for protocol data unit error probability calculation and reporting. The method may also include receiving, from the at least one user equipment, feedback related to the protocol data unit error probability.