5G NR PSS Acquisition Using Localized Differential Correlation
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Solution Overview
Problem
The existing methods for acquiring the primary synchronization signal (PSS) in 5G new radio (NR) networks are time and resource-intensive due to the wide bandwidth and large number of frequencies to search, particularly in the FR2 frequency section, leading to prohibitive scanning times and costs.
Innovation Solution
A method involving time and frequency domain differential correlations, utilizing the periodic nature of SSBs, PSS and SSS combining, and zero-energy block correlations to reduce the search space to localized regions, enabling efficient PSS acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an exhaustive blind scan method is used to search for PSS across all NR-ARFCN raster frequencies, then measurement precision and reliability are improved, but processing time and computational resources increase prohibitively
Solution Approach 1:
The patent segments the wide frequency search space into multiple localized regions based on the periodic structure of SSBs. Instead of scanning all NR-ARFCN raster frequencies exhaustively, the method divides the search into manageable segments corresponding to potential SSB locations, reducing the overall scanning time while maintaining detection accuracy through structured segmentation of the search process
Solution Approach 2:
The patent performs preliminary actions by first identifying candidate SSB locations using the known periodic structure before conducting the actual PSS correlation search. This preliminary positioning step narrows down the search space significantly, allowing the exhaustive search to be applied only to relevant localized regions rather than the entire frequency range, thus reducing processing time while preserving measurement precision
2Reliability
If an exhaustive blind scan is performed across all raster frequencies, then reliability of PSS acquisition is improved, but device complexity and computational cost increase
Solution Approach 1:
The patent applies segmentation by dividing the complex exhaustive search task into smaller, more manageable correlation operations on segmented frequency regions. This reduces device complexity by breaking down the computationally intensive full-bandwidth search into multiple smaller operations that can be executed more efficiently while maintaining the reliability needed for robust PSS acquisition
Solution Approach 2:
The patent employs partial action by performing correlation searches only on identified candidate regions rather than conducting exhaustive searches across the entire frequency spectrum. This partial search approach maintains sufficient reliability for PSS acquisition by focusing computational resources on the most promising locations, thereby reducing overall device complexity and computational cost
3Productivity
If the search space is reduced to localized regions, then processing time is reduced, but measurement precision may be compromised
Solution Approach 1:
The patent performs preliminary identification of candidate localized regions using the periodic SSB structure before conducting precision correlation measurements. This preliminary step ensures that the reduced search space still contains the actual PSS locations, thereby maintaining measurement precision while achieving faster acquisition through the narrowed search scope
Solution Approach 2:
The patent substitutes the mechanical exhaustive search approach with a signal-processing-based method that uses correlation techniques and periodicity detection. This substitution replaces the brute-force mechanical scanning with a more intelligent signal processing approach that maintains precision while significantly improving productivity by leveraging the structural properties of the synchronization signals
Data Source
AI summary
Systems and methods for quickly acquiring a PSS of a broadcast signal are provided. Such systems and methods include performing a time domain differential correlation on sections of the broadcast signal and identifying peak values in a summation of results of the time domain differential correlation. The systems and method also include performing frequency domain differential correlations between the frequency domain versions of the first section and the second section and identifying ones of maximum values of a ratio of output of the frequency domain differential correlations. Finally, the provided systems and methods include searching for the PSS in localized regions of the broadcast signal that are defined in the time domain by the preconfigured number of peak values and in the frequency domain by the ones of the maximum values of the ratio.