Automatic Cell Un-Management in HMNO Networks
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Solution Overview
Problem
In a Hybrid Mobile Network Operator (HMNO) system with a large number of small cells, manual management of cells to address service issues is time-consuming and prone to human error, leading to poor customer experience due to unsatisfactory service quality.
Innovation Solution
An automatic management entity that subscribes to an Operations Support System (OSS) to receive cell information, evaluates performance, and automatically identifies cells with issues, prioritizes their management, and communicates with the OSS to initiate un-management and repair.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual management of cells is used to address service issues, then human operators can make decisions about cell un-management, but the process is time-consuming and leads to poor customer experience
Solution Approach 1:
The system enables automatic self-service through the network management entity that autonomously monitors cell performance metrics, identifies problematic cells based on predefined criteria, and initiates un-management actions without human intervention, thereby resolving the technical contradiction by eliminating manual processing time while maintaining reliable service quality decisions
Solution Approach 2:
The system implements continuous feedback loops by monitoring cell performance metrics in real-time, comparing them against threshold criteria, and automatically triggering un-management actions when degradation is detected, thus resolving the contradiction between maintaining service quality and reducing response time through automated closed-loop control
2Reliability
If manual management of cells is used, then human operators can evaluate cell performance, but the large number of small cells makes timely decisions difficult
Solution Approach 1:
The network management entity performs autonomous evaluation of cell performance by automatically collecting metrics, comparing them against criteria, and making un-management decisions without human operator involvement, thereby resolving the contradiction between maintaining reliable service quality and achieving high productivity in managing large numbers of small cells
Solution Approach 2:
The system replaces the mechanical manual process of cell evaluation and decision-making with an automated electronic system that processes performance metrics and executes un-management actions, thus resolving the contradiction by substituting human-operated mechanical processes with automated electronic control to achieve both reliability and productivity
3Reliability
If more cells are managed manually, then service quality can be monitored, but the time to place cells back into service after repairs increases
Solution Approach 1:
The system implements continuous feedback monitoring of cell performance metrics and automatically detects when repaired cells are ready to be placed back into service, triggering re-management actions without human intervention, thereby resolving the contradiction between maintaining service quality through monitoring and minimizing cell downtime through automated rapid response
Solution Approach 2:
The system performs preliminary evaluation of cell performance and proactively identifies cells that meet un-management criteria before significant service degradation occurs, and similarly prepares to rapidly re-manage cells when repair conditions are met, thus resolving the contradiction by taking advance actions that prevent prolonged downtime while maintaining service quality
Data Source
AI summary
An automatic management entity is included in a Hybrid Mobile Network Operator's system. The automatic management entity operates in conjunction with an Operations Support System (OSS) to automatically identify cells within the HMNO's own mobile wireless network to be removed from service due to poor performance, low throughput, or for other reasons, and initiates the un-management process. By automating the process timely identification of cells to be removed from service and removal of cells from service can be implemented quickly without human involvement. The automatic management entity takes into consideration the availability of alternative wireless coverage and impact to quality of service to the HMNO subscriber, e.g., user experience, when making a decision as to whether or not to take a cell with poor performance out of service. The automatic management entity prioritizes the desired repair order and communicates service priority information to the OSS along with the unmanage list.