PBCH Blind Detection Using SFN De-Masking and Soft Combining
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Solution Overview
Problem
In New Radio (NR) systems, the soft combining of Master Information Block (MIB) in the blind detection process is inefficient due to varying System Frame Number (SFN) information across different periods, leading to low signal-to-noise ratio and increased computational complexity.
Innovation Solution
A blind detection method that de-masks Physical Broadcast Channel (PBCH) information using System Frame Number (SFN) information to eliminate differences across synchronization signal periods, enabling soft combination and reducing the number of combinations required, thereby improving detection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If soft combining is performed on different SSB sets and relevant information of each SSB in each SSB set, then the combining cannot be effectively performed as System Frame Number (SFN) information of different periods is different, but the signal-to-noise ratio of the combined information becomes lower
Solution Approach 1:
The patent segments the combining process by introducing a de-masking operation that separates the SFN information from the PBCH payload. By dividing the combining into masked and unmasked components, the system can effectively combine signals while maintaining SFN differences, thus resolving the contradiction between combining effectiveness and signal-to-noise ratio.
Solution Approach 2:
The patent introduces a de-masking mechanism as an intermediary step between receiving PBCH information and performing soft combining. This intermediary process removes the SFN-dependent masking, allowing effective combining without the negative impact of SFN differences, thereby improving both combining effectiveness and signal-to-noise ratio.
2Reliability
If a large number of groups are required in the blind detection, then the blind detection coverage is improved, but the calculation complexity increases
Solution Approach 1:
The patent applies preliminary de-masking action to the PBCH information before the blind detection process. By pre-removing the SFN-dependent masking, the system reduces the number of distinct groups that need to be detected, thereby maintaining detection coverage while significantly reducing calculation complexity.
Solution Approach 2:
The patent changes the parameter state of the PBCH information by applying a de-masking operation that transforms the SFN-dependent masked information into SFN-independent unmasked information. This parameter transformation allows the system to maintain comprehensive blind detection coverage while reducing the computational burden associated with processing multiple SFN variations.
3Ease of operation
If direct combination is performed on PBCH information from different synchronization signal periods, then the processing is simplified, but the signal-to-noise ratio decreases and blind detection efficiency is low
Solution Approach 1:
The patent introduces a preliminary de-masking action that is performed on PBCH information before combination. This preliminary step removes the SFN-dependent masking, enabling effective combination of signals from different synchronization periods while maintaining high signal-to-noise ratio, thus resolving the contradiction between processing simplicity and signal quality.
Data Source
AI summary
A blind detection method and apparatus, a terminal, and a storage medium. The method comprises: according to system frame number (SFN) information, demasking physical broadcast channel (PBCH) information received by a synchronization signal/PBCH block (SSB) in a target beam direction in at least one synchronization signal period within one transmission time interval, so as to obtain at least one group of demasked sequences; determining a combined sequence according to the at least one group of demasked sequences; checking a decoding result of the combined sequence; and when the check succeeds, extracting a master information block (MIB) from the decoding result according to the SFN information, so as to complete blind detection of the PBCH information.


