Route-Aware Network Search Interval Adjustment
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Solution Overview
Problem
Users often encounter network service disruptions due to base stations with poor signal quality on their daily routes, leading to suboptimal network experiences.
Innovation Solution
A method for identifying specific routes and optimizing terminal performance by determining the communication quality of base stations, predicting network changes, and adjusting network search intervals or caching data to mitigate service disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal device continuously searches for network signals to ensure continuous network access, then network availability is improved, but power consumption increases
Solution Approach 1:
The terminal device performs preliminary actions by caching data in advance before entering the abnormal base station coverage area. The system predicts network quality changes based on location information and pre-fetches data during periods of good network signal, eliminating the need for continuous network searching when the device enters poor signal areas.
Solution Approach 2:
Instead of continuous network searching, the system implements periodic network quality detection at specific locations along the route. The terminal device checks network quality at predetermined intervals or locations, and only searches for networks when actually needed, reducing overall power consumption while maintaining network availability.
2Use of energy by moving object
If the terminal device adjusts network search interval to reduce power consumption, then energy efficiency is improved, but network responsiveness deteriorates
Solution Approach 1:
Data is cached in advance during periods of good network connectivity, so when the device enters an abnormal coverage area, the cached data is immediately available without requiring active network searching. This preliminary data preparation maintains responsiveness while reducing energy consumption.
Solution Approach 2:
The system introduces location information and route prediction as intermediary elements between the terminal device and network searching. By using location-based prediction to determine when network searching is necessary, the system avoids unnecessary searching while ensuring searching occurs at the right moments, thus maintaining responsiveness with improved energy efficiency.
3Reliability
If the terminal device caches data in advance to ensure continuous access, then network service continuity is improved, but storage requirements increase
Solution Approach 1:
The system performs preliminary data caching only for specific routes and applications where network disruption is predicted, rather than caching all data universally. This targeted approach ensures service continuity for critical applications while minimizing unnecessary storage usage.
Solution Approach 2:
The caching strategy is localized to specific routes, time periods, and applications rather than applying uniformly across all scenarios. The system identifies abnormal base station coverage areas and caches data specifically for those locations and relevant applications, optimizing the balance between service continuity and storage requirements.
4Measurement precision
If the system monitors network quality at multiple base stations to identify specific routes, then route identification accuracy is improved, but system complexity increases
Solution Approach 1:
The location information module serves multiple functions: it tracks the terminal device's position for route identification, predicts future locations along the route, identifies abnormal base station coverage areas, and triggers caching operations. This multi-functionality reduces the need for separate specialized components, thereby reducing overall system complexity while maintaining high route identification accuracy.
Data Source
AI summary
A method for identifying a specific location on a specific route, a daily specific route of a user may be predicted based on a daily behavior habit of the user, and a specific action related to the predicted specific route may be performed, for example, changing a network search interval; or searching for different network signals based on a network standard change; or when a terminal device runs an application, generating a message to indicate a time point at which the terminal device accesses an abnormal base station, to remind the user to cope with a network exception; or generating the message to send a cache request to a corresponding server.


