Network Device Maintenance Priority Using Real-Time Traffic Feedback
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Solution Overview
Problem
Existing communication networks lack dynamic and adaptive maintenance priority settings that can respond to real-time changes in network traffic and customer requirements, leading to inefficient resource allocation and potential service disruptions.
Innovation Solution
A computer-implemented method and apparatus that dynamically adjust maintenance priorities for network devices based on usage and customer information, using an automated system to continuously update priorities without human intervention, allowing for real-time adaptation of maintenance classes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If maintenance priorities are set statically by radio network designer based on geographical location, then the setting process is simple and quick, but the maintenance priority cannot adapt to real-time changes in network traffic and customer requirements
Solution Approach 1:
The patent implements dynamic maintenance priority assignment by automatically adjusting priority levels based on real-time network traffic data and customer requirements. The system continuously monitors network device performance metrics and dynamically reassigns maintenance priorities without requiring manual intervention, allowing the maintenance schedule to adapt flexibly to changing network conditions and service level agreements.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously collecting network traffic information and customer requirement data, then using this feedback to automatically adjust maintenance priorities. The closed-loop control ensures that maintenance scheduling responds to actual network conditions and service level agreements, with the system learning from ongoing performance data to optimize priority assignments.
2Reliability
If maintenance priorities are adjusted dynamically based on network traffic and customer information, then maintenance resource allocation optimizes service quality, but the system complexity and automation requirements increase
Solution Approach 1:
The maintenance priority assignment system operates autonomously by automatically collecting network traffic data, analyzing customer requirements, and adjusting maintenance priorities without human intervention. The system serves itself by making real-time decisions about resource allocation based on predefined service level agreements and current network conditions, eliminating the need for manual priority setting while ensuring consistent service quality.
Solution Approach 2:
The system changes maintenance priority parameters dynamically based on network traffic intensity and customer service level requirements. By adjusting the priority parameter values in real-time according to measured network conditions and contractual obligations, the system maintains high service quality while automating the decision-making process that determines maintenance scheduling parameters.
3Reliability
If maintenance priority is set individually for each base station, then each device receives appropriate attention, but the overall maintenance process becomes time-consuming and resource-intensive
Solution Approach 1:
The patent merges the maintenance priority assignment process into a unified automated system that simultaneously evaluates and sets priorities for multiple network devices. By combining individual device assessments into a single automated workflow that processes network traffic data and service level agreements across the entire network, the system maintains device-specific priority accuracy while dramatically reducing the time and resources required compared to manual individual configuration.
Solution Approach 2:
The maintenance priority assignment system serves multiple functions simultaneously: it monitors network traffic, analyzes customer requirements, evaluates service level agreements, and automatically assigns priorities to multiple devices. This multi-functional approach allows the same automated process to handle priority setting for the entire network infrastructure, reducing repetitive manual operations while ensuring each device receives appropriate individualized attention based on its specific conditions.
Data Source
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AI summary
A computer implemented method of setting maintenance priority for a set of network devices of communication network. The set of network devices are arranged in an ordered list based on at least one of: customer information and usage information; and maintenance priority classes are dynamically set (13) for the network devices based on the ordered list, wherein there are at least two different maintenance priority classes.