Edge Cloud Location Sharing for Private XR Object Localization
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Solution Overview
Problem
Current mobile network technologies face challenges in accurately identifying specific objects among visually similar ones in extended reality (XR) applications due to high latency and privacy concerns, particularly in real-time environments, which hinders the widespread adoption of XR applications.
Innovation Solution
A system utilizing 5G NR and edge cloud architecture to manage location data sharing through ObjectIDs and RequestIDs, ensuring differential privacy by retaining data only for specified durations, enabling precise object localization and rendering in XR environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location data is stored in a centralized database for extended reality applications, then object identification accuracy is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent segments location data into two types: precise location data stored locally in user equipment and imprecise location data stored in the database. This segmentation allows the system to maintain high object identification accuracy by using precise local data while protecting user privacy by storing only imprecise data centrally, thus resolving the contradiction between identification accuracy and privacy protection.
Solution Approach 2:
The patent implements local quality by storing high-precision location information locally in user equipment and only storing low-precision location information in the centralized database. This differentiated storage strategy ensures that the system has access to accurate location data for object identification while the centralized database maintains only coarse-grained data that does not compromise user privacy.
2Manufacturing precision
If location data is retained in the database for real-time XR rendering, then rendering accuracy is improved, but data security and privacy control deteriorate
Solution Approach 1:
The patent segments location data precision levels, storing high-precision data locally and low-precision data in the database with controlled retention periods. This allows the system to use high-precision local data for accurate rendering while the database stores only necessary low-precision data for limited durations, balancing rendering accuracy with data security.
Solution Approach 2:
The patent implements preliminary action by pre-defining retention periods for location data in the database. Data is automatically deleted after the specified retention period expires, ensuring that the system maintains rendering accuracy during the retention period while automatically enforcing data security and privacy protection after deletion.
3Measurement precision
If precise location data is stored centrally for object differentiation, then object localization precision is improved, but network latency increases
Solution Approach 1:
The patent extracts high-precision location data from the centralized database and stores it locally in user equipment. This extraction eliminates the need to repeatedly retrieve precise location data from the database during real-time XR operations, significantly reducing network latency while maintaining high object localization precision through local data access.
Solution Approach 2:
The patent implements preliminary action by pre-loading precise location data into user equipment before real-time XR rendering begins. This allows the system to have immediate access to accurate location information without network delays during time-critical rendering operations, while the database retains only imprecise data for longer-term storage needs.
Data Source
AI summary
A method of an electronic device in an edge cloud of a mobile network supports extended reality localization of an object having a location in the real world where the location is stored as location information in a database in the mobile network. The method includes receiving a request from an application of a user equipment, the request for location information of an object, the request including an object identifier for the object, retrieving the location information from a database using the object identifier, returning the location information to the application at the user equipment, determining whether the retention requirements for the location information and the object identifier are met, and deleting the location information and the object identifier from the edge cloud and the database in response to determining the retention requirements are not met.