Cell Network Anomaly Recovery Using Predictive Server Strategies
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Solution Overview
Problem
Existing network anomaly solutions require reactive measures after the anomaly occurs, leading to disruption in network continuity, which are inefficient in resolving the issue promptly.
Innovation Solution
A proactive approach where an electronic device sends cell information and operator data to a server, receives an anomaly list with predicted network recovery strategies, and executes these strategies before anomalies occur to prevent disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive anomaly processing methods are used (moving device or restarting terminal), then network anomaly resolution is achieved, but network continuity and smoothness are affected due to time delay
Solution Approach 1:
The system performs preliminary actions by proactively obtaining anomaly information from the server before the network anomaly actually occurs. The electronic device receives advance notification of upcoming anomalies and executes recovery strategies in advance, rather than reacting after the anomaly has already disrupted service. This transforms the approach from reactive to proactive, eliminating the time delay inherent in traditional methods.
Solution Approach 2:
The system applies preliminary anti-action by executing network recovery strategies before the anomaly occurs. The electronic device receives anomaly information indicating future problematic time periods and proactively switches to alternative networks or adjusts connectivity settings in advance, preventing the anomaly from affecting service continuity. This counteracts the potential negative effect before it can manifest.
2Reliability
If proactive anomaly processing is implemented, then network smoothness and continuity are improved, but system complexity increases due to additional components and operations
Solution Approach 1:
The server acts as an intermediary that centralizes the complex operations of anomaly detection, analysis, and strategy generation. The electronic device delegates the heavy lifting of processing anomaly information and determining recovery strategies to the server, receiving only the essential anomaly notifications and pre-computed recovery instructions. This distributes system complexity to the server while keeping the device relatively simple.
Solution Approach 2:
The system implements self-service by enabling the electronic device to automatically obtain anomaly information from the server and autonomously execute appropriate recovery strategies without requiring user intervention. The device independently monitors for anomaly notifications, processes the information, and implements network switching or other recovery actions automatically, reducing the need for complex user interfaces or manual configuration.
Data Source
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AI summary
This application belongs to the field of communication technologies, and discloses a network anomaly recovery method and apparatus, an electronic device, a server, and a storage medium. The method includes: sending a target data packet to a server when the first electronic device uses a network of a first cell, where the target data packet includes cell information of the first cell and operator information of the first electronic device; receiving a first cell anomaly list sent by the server, where the first cell anomaly list includes N anomaly time periods and a network recovery strategy corresponding to each anomaly time period, where the N anomaly time periods are time periods in which a network anomaly occurs when a second electronic device uses the network of the first cell, and the second electronic device has a same operator as the first electronic device; predicting, according to the first cell anomaly list, that a network anomaly occurs on the first electronic device in a target time period; and executing, when a system moment of the first electronic device is in the target time period, a target network recovery strategy corresponding to the target time period.