Frame Error Rate Measurement Using Channel Information
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Solution Overview
Problem
Conventional methods for measuring frame error rate in communication devices, particularly in high-latency scenarios like 5G ultra-reliable low-latency communication, are inefficient and often take too long to complete, making them unsuitable for scenarios requiring frame error rates of 10−6 to 10−8.
Innovation Solution
A method and apparatus that utilize channel and interference information to determine frame error rate, reducing the number of required test frames to 1% or less of conventional methods, enabling efficient measurement by obtaining accurate frame error rates through channel and interference information from a first or second device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Monte Carlo method is used to measure frame error rate, then measurement accuracy is improved, but measurement time increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-collecting and storing channel information and interference information during normal communication operations. When frame error rate measurement is needed, the measurement device can directly utilize these pre-collected data along with a small number of additional test frames, avoiding the need to conduct extensive Monte Carlo simulations from scratch. This significantly reduces measurement time while maintaining accuracy.
Solution Approach 2:
The patent extracts and utilizes specific auxiliary information (channel information and interference information) that is already available during normal communication. By separating and leveraging this auxiliary data, the measurement process only requires a minimal number of test frames instead of relying on large-scale Monte Carlo simulations, thus resolving the time-accuracy tradeoff.
2Productivity
If quantity of test frames is reduced to shorten measurement time, then measurement efficiency is improved, but measurement accuracy deteriorates
Solution Approach 1:
The patent introduces channel information and interference information as intermediary data that bridges the gap between limited test frames and accurate frame error rate measurement. These intermediary pieces of information provide context about the communication environment, allowing the measurement device to infer frame error characteristics from fewer test frames without sacrificing measurement accuracy.
Solution Approach 2:
The patent replaces the mechanical approach of increasing test frame quantity (Monte Carlo method) with an information-based approach. Instead of relying on statistical convergence from large sample sizes, the system uses channel and interference information to enable accurate measurement with minimal test frames, substituting computational brute force with intelligent data utilization.
Data Source
AI summary
A method and an apparatus for measuring a frame error rate, reducing duration of measuring the frame error rate. A first device obtains an error frame, obtains channel information and/or interference information corresponding to the error frame, and determines a frame error rate based on the channel information and/or the interference information corresponding to the error frame. The method for determining the frame error rate based on the channel information and/or the interference information corresponding to the error frame can reduce a quantity of transmitted test frames. For example, a total quantity of frames needs to be only 1% or even less of a total quantity of frames required for a current MC method. Therefore, the measurement duration can be reduced, and measurement efficiency can be improved.