Cellular Network Outage Compensation via Adaptive Database Rules
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Solution Overview
Problem
Current methods for detecting and compensating cell outages in cellular networks are inefficient, as they balance between accuracy and detection time, and lack a uniform solution, often resulting in slow optimization processes that may not fully recover network performance.
Innovation Solution
A method utilizing an outage database that continuously updates operating parameters and detection rules based on current network conditions, allowing for rapid detection and compensation of outages by optimizing compensation parameters and storing optimized parameters for future use, thereby improving both detection and compensation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical methods are used for outage detection and compensation, then accuracy is improved, but detection time and optimization speed decrease
Solution Approach 1:
The system performs preliminary actions by continuously updating the outage database with operating parameters and detection rules before outages occur. This pre-processing of network state information enables faster detection when outages happen, as the system already has current baseline data and established patterns to compare against, eliminating the need for slow statistical analysis during the critical detection moment.
Solution Approach 2:
The system implements feedback mechanisms where the outcomes of compensation actions are evaluated and fed back into the outage database. This continuous feedback loop allows the system to learn from previous outage situations and refine its detection rules and compensation strategies, improving both accuracy and speed over time through adaptive optimization based on actual performance data.
2Measurement precision
If multivariate optimization is used for outage compensation, then compensation accuracy is improved, but convergence time and implementation speed decrease
Solution Approach 1:
The system prepares compensation strategies and optimized parameters in advance by continuously monitoring and storing network operating parameters in the outage database. When an outage occurs, the system can quickly retrieve pre-computed compensation rules and apply them immediately, rather than starting a slow multivariate optimization process from scratch, thus reducing implementation time while maintaining accuracy.
Solution Approach 2:
The system changes parameters by updating the outage database with current operating parameters and detection rules based on actual network conditions. This dynamic parameter update allows the system to adapt compensation strategies to current network state without performing time-consuming optimization calculations, simply by retrieving and applying pre-established rules that are already tailored to current conditions.
3Ease of operation
If a uniform compensation solution is applied to all cells, then implementation simplicity is improved, but adaptability to different traffic scenarios and network deployments decreases
Solution Approach 1:
The system applies local quality by maintaining cell-specific and scenario-specific detection rules and compensation parameters in the outage database. Rather than using a single uniform compensation strategy, the system tailors detection and compensation parameters to match the specific characteristics of each cell and traffic scenario, enabling adaptive compensation while keeping the overall implementation simple through automated rule-based decision making.
Solution Approach 2:
The system introduces dynamics by continuously updating the outage database with current network operating parameters and adapting detection rules and compensation strategies based on actual network conditions. This dynamic adaptation allows the system to respond to changing traffic scenarios and network deployments automatically, maintaining simplicity through automated learning while achieving high adaptability.
4Measurement precision
If slow optimization processes are used for outage compensation, then convergence accuracy is improved, but the ability to provide prompt remedy actions decreases
Solution Approach 1:
The system performs preliminary optimization by continuously pre-processing network data and pre-computing compensation strategies in the outage database. When outages occur, the system can immediately apply pre-optimized compensation rules rather than starting slow optimization processes, thus providing prompt remedy actions while maintaining high accuracy through the quality of pre-computed optimization results.
Solution Approach 2:
The system ensures continuity of useful action by continuously updating the outage database with operating parameters and detection rules during normal network operation. This continuous accumulation and optimization of data during peacetime enables rapid, accurate compensation actions during outages, as the system is always ready with current, optimized parameters rather than requiring time-consuming optimization during critical events.
Data Source
AI summary
The invention comprises a method for controlling an outage of a network element (300) in a cellular network (40) using an outage database (130), the outage database containing for each of a plurality of the network elements (300) controlled by the cellular network at least the following network element dependent information: first operating parameters describing an error free operation of the corresponding network element, outage detection rules indicating when a outage for the corresponding network element is present, outage compensation rules indicating how the outage of the corresponding network element should be compensated, the outage compensation rules including compensation parameters to be used by compensating network elements (300b-300g) in order to compensate the outage of one of the network elements (300a). The method comprises the steps of: continuously receiving current operating parameters for a plurality of network elements (300), updating the first operating parameters and the outage detection rules for the plurality of network elements taking into account the current operating parameters, detecting an outage for one of the network elements by comparing the received current operating parameters to the outage detection rules for said one network element, wherein if an outage is detected for said one network element, determining and applying the outage compensation rules for said one network element (300a), wherein applying the compensation rules includes optimizing the compensation parameters in order to calculate optimized operating parameters for the compensating network elements (300b-300g) used to compensate for the outage of said one network element, evaluating the application of the compensation rules, and storing the optimized operating parameters in the compensation rules as starting parameters for a future optimization of the compensation parameters in case of an outage of said one network element in dependence on the evaluation.