Cellular Network Health Monitoring with Bitmap Integrity Checks

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Solution Overview

Problem

Existing network health check systems struggle to efficiently identify and remediate issues in cellular service networks due to the complexity and dynamic nature of radio access and core networks, often leading to obscured problems and inefficient manual monitoring.

Innovation Solution

Implementing a method that generates bitmaps to indicate pass or fail results of health check tests, and using data integrity functions like checksums to detect discrepancies between these bitmaps over time, thereby identifying and remediating network problems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual monitoring methods are used to track network health checks, then operational flexibility is maintained, but detection efficiency and problem identification speed deteriorate

Engineering Contradiction:
Improvedetection efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent creates simplified copies of network health data in bitmap form, where each bit represents the pass/fail status of a health check test. These bitmaps are stored in a data lake and can be efficiently compared without manually processing the underlying complex network data, enabling rapid detection while maintaining operational simplicity

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent transforms complex network health check results into a standardized bitmap parameter format, where diverse health check data is converted into uniform bit representations. This parameter transformation enables efficient computational comparison using data integrity functions, significantly improving detection efficiency while reducing the complexity of manual analysis

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If comprehensive health check tests are performed across all network components, then measurement precision is improved, but computational burden increases

Engineering Contradiction:
Improvehealth check accuracyVSAvoidcomputational burden
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the essential health status information (pass/fail results) from comprehensive network health checks and represents it in compact bitmap form. This extraction process retains the precision of comprehensive health checks while removing redundant computational overhead, as only the critical outcome bits need to be stored and compared

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent performs data integrity checks on bitmaps at selected time intervals rather than continuously analyzing all network parameters. By applying data integrity functions periodically to compare bitmaps from different times, the system achieves sufficient health monitoring precision while significantly reducing computational burden compared to continuous comprehensive analysis

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If data integrity functions are applied to detect bitmap discrepancies, then problem identification accuracy is improved, but processing time increases

Engineering Contradiction:
Improvediscrepancy detection accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent creates simplified bitmap copies of network health data that can be rapidly compared using data integrity functions. These bitmaps serve as lightweight representations that preserve essential health status information while enabling fast computational comparison, thereby improving discrepancy detection accuracy without significant processing time penalties

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent pre-computes and stores bitmaps in a data lake for historical comparison, performing the data integrity function comparison on pre-prepared data structures. This preliminary organization of health data into comparable bitmap formats eliminates the need for real-time computation during discrepancy detection, significantly reducing processing time while maintaining detection accuracy

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12432601B2Network health check monitoring
Publication Date: 2025.09.30 BOOST SUBSCRIBERCO LLC
  • US12432601B2 patent drawing
  • US12432601B2 patent drawing
  • US12432601B2 patent drawing

AI summary

A disclosed method may include (i) generating, at a first time, a first bitmap where each bit of the first bitmap indicates a pass or fail for a respective health check test in a series of health check tests testing a cellular service network, (ii) generating, at a second time, a second bitmap where each bit of the second bitmap indicates a pass or fail for a corresponding respective health check test in the same series of health check tests testing the cellular service network, and (iii) remediating a network problem indicated by detecting that a first result of a data integrity function executed on the first bitmap does not match a second result of the same data integrity function executed on the second bitmap.