PRACH Receiver Common Preamble Detection Carrier Aggregation
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Solution Overview
Problem
Current preamble detector systems fail to exploit the opportunity of common preamble detection among different cells in carrier aggregation scenarios, leading to inefficient signal processing and reduced performance.
Innovation Solution
A method that combines sample sets from multiple cells to form a single combined set, allowing for the identification of candidate preambles and delays across cells using a recursive binary search, thereby reducing the need for separate correlator processing for each cell.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate correlator processing is performed for each cell in carrier aggregation scenarios, then cell-specific preamble detection accuracy is maintained, but signal processing complexity and resource consumption increase significantly
Solution Approach 1:
The patent combines sample sets from multiple cells into a single combined sample set, and uses a single correlator to process this combined set. This merging approach reduces the number of separate correlators needed while maintaining detection capability across all aggregated cells, directly addressing the contradiction between detection accuracy and processing complexity.
Solution Approach 2:
The patent creates a universal correlator that can detect preambles across multiple aggregated cells simultaneously by processing a combined sample set. This single correlator performs the function of multiple cell-specific correlators, reducing overall system complexity while maintaining the ability to detect preambles from any of the aggregated cells.
2Adaptability or versatility
If multiple separate PRACH detectors are deployed for each aggregated cell, then comprehensive preamble detection coverage is achieved, but processing resources and computational load increase
Solution Approach 1:
The patent merges sample sets from multiple cells into one combined set and uses a single correlator with recursive binary search to detect preambles. This approach achieves comprehensive detection coverage across all aggregated cells while improving processing efficiency by eliminating redundant computations that would occur with multiple separate detectors.
Solution Approach 2:
The patent performs preliminary combining of sample sets from multiple cells before correlation processing. This preliminary action consolidates the data early in the processing chain, allowing subsequent correlation and detection operations to work on a unified dataset, thereby reducing overall computational load while maintaining detection coverage.
3Measurement precision
If individual correlator banks are used for each cell, then cell-specific timing alignment precision is maintained, but overall system resource consumption increases
Solution Approach 1:
The patent combines sample sets from multiple cells into a single set and processes them through one correlator, reducing the quantity of processing resources needed. The correlator maintains timing alignment precision by evaluating candidate delays against the combined samples from all cells, achieving both resource efficiency and measurement precision.
Solution Approach 2:
The patent uses a recursive binary search algorithm that efficiently evaluates candidate preamble-delay tuples by copying and reusing correlation results across different cells. This approach maintains precise timing alignment measurement while reducing resource consumption through intelligent reuse of computational results.
Data Source
AI summary
A method (300) for determining cells in which a preamble has been transmitted. The method includes obtaining (s302) N sample sets, wherein each one of the N sample sets comprises a set of M samples and each one of the N sample sets is associated with a different cell included in a set of N cells. The method also includes adding (s304) the N sample sets to create a first combined set of samples comprising M samples. The method also includes forming (s306) a first candidate set of one or more tuples based on the first combined set of samples and an initial set of tuples comprising a plurality of tuples, wherein each tuple comprises a candidate preamble and a candidate delay, and wherein each candidate preamble comprises a set of samples. The method further includes using (s308) the first candidate set of one or more tuples to determine, for each cell included in the set of cells, whether a preamble included in the first candidate set of tuples was transmitted in the cell.