Subscriber Location Database for Wireless Network Resource Optimization
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Solution Overview
Problem
Conventional methods for determining user device location are resource-intensive and time-consuming, involving multiple devices and generating additional traffic, whereas they require frequent updates and granular location information, which is not efficiently managed.
Innovation Solution
A subscriber location database (SLD) that receives and stores user device location information on a frequent basis, providing an API for on-demand access, reducing the need to query network and user devices, and allowing users to control their data privacy and sharing options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional methods (cell tower triangulation, querying user device) are used to determine location, then location information can be obtained, but network and processing resources are consumed and query time increases
Solution Approach 1:
The system pre-determines location information by detecting network events (call setup, data session establishment, handover) and proactively stores them in a subscriber location database before any query occurs. This eliminates the need for real-time computation during location queries, as the database already contains pre-computed location data ready for immediate retrieval.
Solution Approach 2:
A subscriber location database is introduced as an intermediary component between network elements and location query systems. This database acts as a buffer that stores pre-determined location information, allowing query systems to retrieve location data without directly consuming network resources or processing power from user devices.
2Measurement precision
If frequent updates and granular location information are collected, then accuracy and usefulness of location data improve, but network traffic and data management complexity increase
Solution Approach 1:
Instead of continuous location tracking, the system updates location information periodically based on discrete network events such as call setup, data session establishment, and handover occurrences. This event-driven approach ensures location data is refreshed at meaningful intervals without generating unnecessary continuous traffic, balancing granularity with network efficiency.
Data Source
AI summary
A system may be configured to allow for storage of location information regarding a set of user devices. The location information may be updated relatively frequently, and without introducing additional traffic into a wireless telecommunications network associated with the user devices. The location information may be made available to internal devices associated with the wireless telecommunications network and/or to external third party devices (such as banks, payment card processors, or advertisers) with user consent. Since the information is obtained and stored prior to requests, the location information may be provided, in response to requests, relatively quickly.