Systems and methods for artificial intelligence / machine learning positioning

By using the {N, T} and {N2, T2} sets of DL-PRS processing capabilities reported by the UE, the challenge of evaluating UE processing capabilities in 5G NR networks is solved, and effective management of AI/ML positioning time and quality is achieved.

CN122423239APending Publication Date: 2026-07-17ZTE CORP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZTE CORP
Filing Date
2023-12-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, AI/machine learning positioning methods in 5G NR networks are difficult to effectively assess the processing capabilities of the UE, resulting in unpredictable AI/ML positioning timelines and positioning quality.

Method used

By having the UE report its DL-PRS processing capabilities, including the sets {N, T} and {N2, T2}, indicating the duration and processing capacity of DL-PRS symbols, network nodes can assess AI/ML training and inference time and quality.

Benefits of technology

It enables effective evaluation of the UE's AI/ML positioning capabilities, ensures the prediction of the positioning process in terms of time and quality, and improves the network nodes' ability to manage the positioning process.

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Abstract

至少一个方面涉及以下的系统、方法、装置或计算机可读介质。无线通信方法可以包括第一无线通信实体从第二无线通信实体或第三无线通信实体接收定位相关信息。第二无线通信实体是用户设备（UE）或定位参考单元（PRU）。定位相关信息可以包括第二无线通信实体节点用于人工智能 / 机器学习（AI / ML）定位的能力。该能力可以包括一个或多个{N，T}集合和 / 或一个或多个{N2，T2}集合。
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