PRACH Detection Using Threshold Pre-Screening
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing PRACH detection methods in wireless networks are time- and resource-consuming, as they require searching for the maximum peak power in each detection window, which leads to increased computational workload and missed detections in multi-path channels.
Innovation Solution
The proposed approach reduces computational resource consumption by comparing power values of each sample in a detection window with a predefined threshold before searching for the maximum power. This method also utilizes multiple thresholds to identify valid signals in multi-path channels, allowing for more flexible and efficient PRACH detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing PRACH detection method searches for maximum peak power in each detection window, then detection accuracy is maintained, but computational workload increases and detection speed decreases
Solution Approach 1:
The patent applies preliminary action by performing a threshold-based pre-screening of samples before conducting the maximum peak power search. The processor first compares each sample's power value against a threshold to identify candidate samples, then only searches for maximum power among these pre-selected candidates. This preliminary filtering step reduces the number of samples requiring intensive processing while maintaining detection accuracy.
Solution Approach 2:
The detection process is segmented into two distinct stages: (1) threshold-based sample selection that identifies candidate samples with power exceeding the threshold, and (2) maximum power search confined only to these selected candidates. This segmentation separates the broad screening function from the precise measurement function, improving overall detection efficiency.
2Reliability
If the existing PRACH detection method searches for maximum peak power in each detection window, then detection completeness is maintained, but computational resource consumption increases
Solution Approach 1:
The patent implements partial action by performing the computationally intensive maximum power search only on a subset of samples that exceed the threshold, rather than on all samples in the detection window. This partial processing approach maintains detection completeness for valid PRACH signals while significantly reducing computational resource consumption on noise samples.
Solution Approach 2:
A preliminary threshold comparison is performed to pre-select candidate samples before the maximum power search. This preliminary action filters out obvious noise samples, reducing the computational burden of the subsequent maximum power search while ensuring that all potential valid signals are included in the search set.
3Device complexity
If the existing PRACH detection method uses single threshold detection, then detection simplicity is maintained, but performance in multi-path channels deteriorates
Solution Approach 1:
The patent introduces dynamic adaptability by configuring multiple detection thresholds based on different path loss conditions. The network device can dynamically select appropriate thresholds according to the actual channel conditions, enabling effective detection in both single-path and multi-path scenarios. This dynamic configuration allows the system to adapt to varying environmental conditions without increasing fundamental detection complexity.
Solution Approach 2:
The detection method employs parameter changes by adjusting threshold values according to path loss characteristics. Different thresholds are configured for different path loss conditions, allowing the detection system to optimize its performance for specific channel conditions. This parameter adaptation enables reliable PRACH detection in multi-path channels while maintaining relative simplicity in the detection algorithm.
Data Source
AI summary
The present disclosure relates to a device including: a processor and a memory to: carry out a PRACH detection in a plurality of detection windows, each including a plurality of samples, wherein the PRACH detection includes, for each detection window: comparing a power value of each sample with a predefined threshold power; and after having carried out the comparison for all the samples: if the power value of at least one sample is greater than the predefined threshold power, identifying the sample having the greatest power value, and generating a result signal indicative of a successful PRACH detection and of a position of the identified sample; if all the samples have a power value less than the predefined threshold power, refraining from searching the sample having the greatest power value. The predefined threshold power may include a plurality of threshold powers, to enable communication via a plurality of communication paths.