Intelligent Reset Delay for Cell Site Malfunctions

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Solution Overview

Problem

Diagnosing and addressing chronic malfunctions in cell sites is challenging due to the large amount of data required, which can disrupt communications and overwhelm network servers, potentially masking underlying issues and affecting wireless service quality.

Innovation Solution

A network server detects malfunctions, determines if they are chronic, and delays automatic resets to collect specific diagnostic data, minimizing disruption impact by selectively pulling data before initiating a reset, and remotely initiating the reset process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If automatic reset is implemented for malfunctioning elements, then system reliability is improved, but chronic malfunctions are masked and diagnostic accuracy deteriorates

Engineering Contradiction:

Improvesystem reliabilityVSAvoiddiagnostic accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by detecting malfunctions and determining whether they are chronic before executing automatic reset. This preliminary assessment allows the system to differentiate between transient and chronic malfunctions, preventing premature resets that would mask diagnostic information while still providing rapid response for acute issues.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automatic reset mechanism is made dynamic by introducing conditional logic that adapts the reset behavior based on malfunction characteristics. The system dynamically adjusts whether to execute immediate reset or delay reset based on real-time analysis of malfunction patterns, thereby optimizing both reliability improvement and diagnostic accuracy.

Inventive Principle:

Principle #15Dynamics

2Measurement precision

If diagnostic data is collected from malfunctioning elements, then diagnostic accuracy is improved, but network disruption increases

Engineering Contradiction:

Improvediagnostic accuracyVSAvoidnetwork disruption

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system applies local quality by selectively collecting diagnostic data based on the specific characteristics of each malfunction. Rather than uniformly collecting data from all malfunctioning elements, the system targets data collection for elements exhibiting chronic malfunction patterns, thereby maximizing diagnostic accuracy while minimizing unnecessary network disruptions.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

Diagnostic data collection is performed as a preliminary action before automatic reset for suspected chronic malfunctions. This timing allows the system to gather necessary diagnostic information while the element is still operational, avoiding data loss that would occur after reset while limiting disruption to a brief window before the reset executes.

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If automatic reset is executed without delay, then response time is improved, but chronic malfunctions are masked

Engineering Contradiction:

Improveresponse timeVSAvoidchronic malfunction information

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The system performs preliminary detection and classification of malfunctions before executing automatic reset. By identifying chronic malfunction patterns through preliminary analysis, the system can delay reset for these cases to preserve diagnostic information, while maintaining rapid response for acute malfunctions where immediate reset is appropriate.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The reset execution timing is made dynamic rather than uniform. The system adaptively determines whether to execute immediate reset or delayed reset based on the classified malfunction type, optimizing the balance between response time and information preservation for each specific case.

Inventive Principle:

Principle #15Dynamics

4Productivity

If selective data collection is implemented, then network disruption is reduced, but data completeness for diagnosis may be insufficient

Engineering Contradiction:

Improvenetwork disruptionVSAvoiddiagnostic data completeness

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

Selective data collection is implemented with local quality by tailoring the scope and type of data collected to the specific malfunction characteristics. For chronic malfunctions, the system collects comprehensive diagnostic data, while for acute malfunctions, minimal data collection is performed, thereby ensuring data completeness where needed while minimizing network disruption elsewhere.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10405223B1System and methods for intelligent reset delay for cell sites in a network

Publication Date: 2019.09.03 T MOBILE INNOVATIONS LLC

AI summary

A method for intelligent reset delay of cell sites in a network is disclosed. The method comprises a network server communicatively coupled to a network detecting a malfunction and malfunction type from an element in a cell site of the network. The malfunction type corresponds with an automatic reset for the element. The network server is determining that the malfunction is chronic, and in response, delaying automatic reset for the element in the cell site. Based on the malfunction, the network server is determining an amount of disruption impact to the cell site that would be triggered by at least pulling diagnostics data from the element. Based on the amount of disruption impact, the network server is pulling diagnostics data from the element prior to reset and remotely initiating reset for the element in the cell site.