NPDCCH DCI Detection Accuracy in NB-IoT Terminals
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Solution Overview
Problem
In NB-IoT communication systems, error detection of Downlink Control Information (DCI) is frequent due to complex and changeable wireless environments, leading to unnecessary data retransmissions and link abnormalities.
Innovation Solution
A detection method that filters detected DCI further by acquiring decoding parameters, comparison parameters, and SNR, and conducting multiple levels of validity judgments based on preset threshold values to reduce error detection probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal side conducts data scheduling based on detected DCI in complex wireless environments, then data transmission can proceed, but error detection occurs frequently leading to unnecessary data retransmissions and link abnormalities
Solution Approach 1:
The patent applies preliminary action by performing validity judgment on DCI before using it for data scheduling. The terminal side evaluates multiple parameters (correlation values, SNR, RSRP, timing relationships) in advance to determine whether detected DCI is valid, preventing erroneous scheduling decisions before they occur and reducing subsequent retransmissions
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring detection parameters such as correlation values between reference signals and DCI, SNR levels, and RSRP measurements. This feedback loop allows the system to adaptively assess DCI validity and adjust scheduling decisions based on current channel conditions, improving both reliability and efficiency
2Measurement precision
If multiple detection parameters and validity judgments are implemented to reduce error detection, then DCI detection accuracy improves, but detection complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the DCI detection process into distinct stages: initial DCI detection, parameter extraction (correlation values, SNR, RSRP), validity judgment, and final scheduling decision. This segmented approach organizes the complex detection process into manageable modules, making it easier to implement and maintain while improving accuracy through systematic evaluation
Solution Approach 2:
The patent performs preliminary calculations and measurements of detection parameters (correlation values, SNR, RSRP) before making the final validity judgment. By preparing these metrics in advance, the system reduces the computational burden during the critical decision-making phase and improves detection accuracy through comprehensive pre-evaluation
Data Source
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AI summary
Provided in the embodiments of the present invention are a detection method and apparatus, a terminal, and a storage medium. The method includes that: a decoding parameter in a process that a decoder of a Narrowband Physical Downlink Control Channel (NPDCCH) decodes Downlink Control Information (DCI), a comparison parameter obtained by comparing an encoding result obtained by reversely encoding the decoded DCI by an encoder of the NPDCCH with the DCI before decoding, and a Signal-to-Noise Ratio (SNR) of the DCI are acquired; in a case where the decoding parameter, the comparison parameter and the SNR satisfy a first valid condition, a data transmission repetition number and a search space length of the NPDCCH are acquired; and in a case where the search space length matches the number of subframes corresponding to the data transmission repetition number, it is determined that the DCI is valid. The method can reduce the probability of error detection of the DCI and improve the accuracy of a DCI detection result.