Device Tracking for Group Mobility-Based Network Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing network resources and ensuring quality of service (QoS) for multiple devices traveling together is challenging due to difficulties in predicting tower connections and resource needs, which can lead to customer dissatisfaction and churn.
Innovation Solution
A device tracking service that analyzes call event data sets enriched with transit and network topology data to identify whether multiple user equipment are moving in unison, publishing microrecords or macrorecords to a tracking log for network resource adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple mobile devices make calls while traveling together, then network resource management and QoS provision become challenging, but individual device tracking using GPS and E911 technologies can provide location information
Solution Approach 1:
The patent combines GPS location data, E911 location data, and cell tower connection data from multiple devices into a unified analysis framework. By merging these different data sources and analyzing them collectively, the system identifies that multiple devices are traveling together, thereby simplifying network resource management through group-based handling rather than individual device management.
2Loss of information
If devices are tracked individually during travel, then location information can be obtained, but predicting tower connections and resource needs becomes difficult
Solution Approach 1:
The system continuously collects location information from multiple sources (GPS, E911, cell tower connections) and uses this feedback to update predictions about future tower connections and resource needs. By analyzing the movement patterns of multiple devices traveling together, the system can more reliably predict which towers will be needed and when, improving resource allocation reliability.
3Ease of operation
If network resources are managed without group movement detection, then individual device handling is simpler, but QoS commitments cannot be met and customer churn increases
Solution Approach 1:
The system performs preliminary analysis of location data from multiple sources to detect when devices are traveling together before network resource allocation decisions are made. By identifying device groups in advance and predicting their future locations and tower connection needs, the system can proactively allocate network resources and prepare for upcoming handoffs, ensuring QoS commitments are met while maintaining operational simplicity through automated group-based management.
Data Source
AI summary
A device tracking service can obtain a call event data set defining call events associated with multiple UEs; obtain transit data and network topology data; identify two or more movements associated with the multiple UEs; determine if the UEs are moving in unison; and if so, publish a macrorecord to a device tracking log, the macrorecord including a count of the UEs, an average speed of the UEs, and a travel mode associated with the UEs. The operations further can include in response to a determination that the UEs are not moving in unison, updating the call event data set with information that can define a device identifier, a type of device, a travel mode, and a location associated with at least one of the UEs.