The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 29, 2022

Filed:

Feb. 07, 2019
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Vikram Chandrasekhar, Mountain View, CA (US);

Jianzhong Zhang, Plano, TX (US);

Saidhiraj Amuru, Hyderabad, IN;

Yeqing Hu, Garland, TX (US);

Hao Chen, Plano, TX (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 25/02 (2006.01); G06N 3/08 (2006.01); G06N 20/00 (2019.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
H04L 25/0224 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01);
Abstract

An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.


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