Predictive Network Switching for Mobile Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile devices face challenges in maintaining constant and reliable cellular network coverage while moving due to varying network limitations and dead zones, leading to potential service disruptions.
Innovation Solution
A connectivity management platform that predicts future locations of mobile devices and switches them to alternative networks with better coverage by analyzing network coverage maps and dead zones, using embedded SIMs for seamless over-the-air provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile devices rely on a single network operator for connectivity, then device complexity is reduced, but network reliability deteriorates due to dead zones and coverage limitations
Solution Approach 1:
The system performs preliminary actions by predicting future dead zones along the mobile device's trajectory before the device actually enters them. The controller calculates the device's movement path, identifies upcoming coverage gaps, and proactively initiates network switching commands while the device is still in the current network's coverage area, ensuring seamless connectivity without device complexity increase.
Solution Approach 2:
A controller acts as an intermediary between the mobile device and multiple network operators. The controller receives location data from the device, determines optimal network switches based on predicted dead zones, and manages the switching process centrally. This intermediary approach maintains simple device architecture while achieving high reliability through intelligent network management.
2Reliability
If the system proactively switches networks before entering dead zones, then service continuity is improved, but loss of time increases due to tracking and prediction requirements
Solution Approach 1:
The system applies partial action by focusing tracking and prediction efforts only on mobile devices that are moving and likely to encounter dead zones, rather than continuously monitoring all devices. The controller uses movement data to selectively activate predictive switching only when necessary, reducing overall time consumption while maintaining service continuity for devices that need it.
Solution Approach 2:
The system calculates movement trajectories and predicts dead zones in advance, performing the computationally intensive analysis before the device actually needs to switch networks. By pre-computing the optimal switching points along predicted paths, the system minimizes real-time processing requirements and reduces the time loss during actual network transitions.
3Measurement precision
If multiple network coverage maps are maintained and analyzed, then network switching accuracy is improved, but use of energy increases due to continuous data processing
Solution Approach 1:
The system applies local quality by focusing detailed coverage map analysis only on the specific geographic area where the mobile device is currently located or moving toward. Rather than continuously processing entire network coverage maps, the controller analyzes only the relevant local coverage data needed for upcoming switching decisions, reducing energy consumption while maintaining switching accuracy.
Solution Approach 2:
The system performs partial processing of coverage maps by extracting and analyzing only the necessary portions of network data relevant to the device's current location and predicted path. This selective processing approach reduces the computational burden and energy requirements while maintaining sufficient accuracy for effective network switching decisions.
Data Source
AI summary
Methods are provided for switching networks for a mobile device using location based predictive algorithm. In these methods, a controller obtains a first network coverage map of a first network and a second network coverage map of a second network. The first network and the second network are configured to provide network connectivity to a mobile device. The method further includes the controller tracking the mobile device along a path over which the mobile device travels while the mobile device is connected to the first network, determining that a predicted future location along the path of the mobile device is not serviced by the first network and is serviced by the second network, and causing the mobile device to switch from the first network to the second network based on the mobile device reaching the predicted future location.