US 12,439,305 B2
Machine learning handover prediction based on sensor data from wireless device
Yuwei Ren, Beijing (CN); Liangming Wu, Beijing (CN); and Yu Zhang, Beijing (CN)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Appl. No. 17/926,557
Filed by QUALCOMM Incorporated, San Diego, CA (US)
PCT Filed Jul. 9, 2020, PCT No. PCT/CN2020/101091
§ 371(c)(1), (2) Date Nov. 18, 2022,
PCT Pub. No. WO2022/006814, PCT Pub. Date Jan. 13, 2022.
Prior Publication US 2023/0209419 A1, Jun. 29, 2023
Int. Cl. H04W 36/00 (2009.01); G06N 20/00 (2019.01)
CPC H04W 36/00837 (2018.08) [G06N 20/00 (2019.01); H04W 36/0079 (2018.08); H04W 36/0083 (2013.01)] 35 Claims
OG exemplary drawing
 
1. A method of wireless communication by a user equipment (UE), comprising:
inputting sensor data, captured at the UE, to a local machine learning model;
extracting features from the sensor data, with the local machine learning model, while anonymizing the sensor data;
transmitting the features to a base station; and
receiving a handover decision from the base station based on the features.