Positioning Measurement Reporting With Vendor-Agnostic Code Configuration
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Solution Overview
Problem
Current mobile and wireless telecommunication systems, such as 5G and LTE, face challenges in standardizing ML-based positioning frameworks due to vendor-specific implementation issues, leading to inconsistent measurement reporting and reduced inference performance.
Innovation Solution
A framework that enables vendor-agnostic reporting of positioning measurement reports, allowing each vendor to develop proprietary ML-based solutions without exposing proprietary information, using an autoencoder for compressing and decompressing processed PRS/SRS signals, and configuring code generation for network elements to handle measurements independently of vendor-specific details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vendor-specific implementation details are exposed in measurement reporting, then positioning accuracy can be improved, but system complexity and interoperability issues increase
Solution Approach 1:
The patent introduces an intermediary processing layer that transforms vendor-specific measurement data into standardized reporting formats. This intermediary mechanism allows positioning accuracy to be maintained through detailed measurements while preventing vendor-specific implementation details from propagating through the system, thus reducing complexity and improving interoperability.
Solution Approach 2:
The measurement reporting process is segmented into distinct layers: data collection (vendor-specific), processing/transformation (standardization layer), and reporting (standardized format). This segmentation allows each layer to operate independently, maintaining positioning accuracy in the data collection phase while ensuring system interoperability in the reporting phase.
2Reliability
If proprietary ML-based solutions are implemented by each vendor, then positioning performance can be optimized, but standardization and compatibility are reduced
Solution Approach 1:
The patent creates a universal standardized interface for measurement reporting that can accommodate multiple vendor-specific ML implementations. The standardized reporting framework serves multiple functions: it maintains compatibility across different vendors while allowing each to implement optimized proprietary ML solutions, thus achieving both standardization and performance optimization.
3Measurement precision
If detailed vendor-specific measurement data is reported, then positioning accuracy improves, but data processing overhead increases
Solution Approach 1:
The patent extracts only the essential standardized measurement parameters needed for positioning from the detailed vendor-specific data, separating the critical positioning information from vendor-specific implementation details. This extraction process maintains positioning accuracy while significantly reducing data processing overhead by eliminating redundant or non-essential data elements.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for a framework for handling the appropriately configured positioning measurement reports for use by a network element without requiring knowledge of vendor-specific or proprietary information are provided. For example, a method may include receiving from a network node, a message including a code configuration to configure collected samples measurements for reporting. The method may also include generating a code from the collected samples measurements in a predefined format according to the code configuration. The method may further include reporting the generated code to the network node.