Resource Block Interference Detection Across Time Granularities
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Solution Overview
Problem
Existing wireless networks face challenges in accurately detecting interference due to complex interference environments caused by various sources, including non-standard products, improper network configurations, and spectrum resource overlapping, which affect network performance and communication quality.
Innovation Solution
A multi-stage interference detection method and apparatus that collects signal data at a preset interval, performs sensing and aggregation processing on the data, and uses down-sampling to obtain comprehensive interference detection results, allowing for flexible configuration and improved accuracy through a multi-stage detection processing architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-stage interference detection method is used, then the detection process is simple, but the detection accuracy is insufficient to handle complex interference environments
Solution Approach 1:
The interference detection process is divided into multiple stages, where each stage performs specific detection tasks with different time granularities. The first stage uses coarse time granularity for initial interference identification, while subsequent stages use finer granularities for precise characterization, thereby improving overall detection accuracy without requiring all stages to operate at maximum complexity simultaneously
Solution Approach 2:
The patent implements dynamic time granularity adjustment across detection stages. Each stage can be configured with different time window lengths and sampling rates adapted to the specific detection requirements. This allows the system to optimize the balance between processing speed and detection precision for different interference types and scenarios
2Measurement precision
If multi-stage detection processing is implemented, then interference detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The detection process is segmented into stages with different time granularities, allowing parallel processing and early termination. Once interference is detected at a coarse stage, finer stages can be selectively executed only when necessary, reducing overall processing time while maintaining high accuracy for complex interference patterns
Solution Approach 2:
The system performs partial detection actions at coarser time granularities first, and only executes more computationally intensive fine-grained analysis when the coarse detection indicates potential interference. This selective execution approach significantly reduces average processing time while maintaining detection accuracy for genuine interference cases
3Measurement precision
If data is collected at high frequency and high dimension, then detection precision is improved, but data processing complexity and storage requirements increase
Solution Approach 1:
The patent segments data collection into multiple passes with different resolution levels. Coarse-grained data is collected first for initial analysis, then refined through subsequent passes. This hierarchical data collection approach reduces the immediate processing burden while preserving the ability to achieve high detection precision through progressive refinement
Solution Approach 2:
The system transforms high-dimensional, high-frequency data into a multi-resolution representation across different time dimensions. By projecting data onto coarser time grids in earlier stages and refining in later stages, the system manages data complexity through dimensional transformation rather than directly processing all high-dimensional data simultaneously
Data Source
AI summary
An interference detection method and apparatus, an electronic device, and a computer-readable storage medium are disclosed. The method may include: collecting signal data of a Resource Block (RB) according to a preset time interval and a first dimension; performing a plurality of stages of detection processing according to the signal data to obtain interference detection results of the plurality of stages; and obtaining a comprehensive interference detection result according to the interference detection results of the plurality of stages.