公开(公告)号：US11778052B1

公开(公告)日：2023-10-03

申请号：US18048948

申请日：2022-10-24

Applicant: Verizon Patent and Licensing Inc.

Inventor： Dennis Benfante ,  Isaac Alexander Calvo ,  Steven Mancuso ,  Shyam T. Shyamalan

IPC: H04L67/306 ,  H04W4/21 ,  H04W4/70 ,  H04W4/80

CPC classification number: H04L67/306 ,  H04W4/21 ,  H04W4/70 ,  H04W4/80

Abstract: A first user device associated with a first dependent user may receive a request to add a second dependent user associated with a second user device to a contacts list of the first user device, and may provide a first device identifier, identifying the first user device, to the second user device via a short-range communication. The first user device may receive, from the second user device, a second device identifier, identifying the second user device, via a short-range communication, and may provide the second device identifier to an approval system. The first user device may receive, from the approval system, an indication of approval to add the second dependent user to the contacts list, and may add the second dependent user to the contacts list based on the indication. The first user device may communicate with the second user device, via a telecommunications network, based on the contacts list.

公开(公告)号：US10855843B2

公开(公告)日：2020-12-01

申请号：US16270263

申请日：2019-02-07

Applicant: Verizon Patent and Licensing Inc.

Inventor： Masudur Rahman ,  Bharadwaj Vemuri ,  Binaben Dipesh Patel ,  Isaac Alexander Calvo ,  John C. Burlison, Jr.

IPC: H04M11/00 ,  H04M3/51 ,  G06N20/20 ,  H04M3/42

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.

公开(公告)号：US20200259957A1

公开(公告)日：2020-08-13

申请号：US16270263

申请日：2019-02-07

Applicant: Verizon Patent and Licensing Inc.

Inventor： Masudur Rahman ,  Bharadwaj Vemuri ,  Binaben Dipesh Patel ,  Isaac Alexander Calvo ,  John C. Burlison, JR.

IPC: H04M3/51 ,  H04M3/42 ,  G06N20/20

Abstract: A system described herein may use automated techniques, such as machine learning techniques, to analyze device snapshots from a group of User Equipment (“UEs”), and determine trouble conditions that are experienced by the UEs. The system may identify markers of the trouble conditions based on the snapshots, and may use these markers to predict or identify trouble conditions at other UEs based on snapshots received from the other UEs. Further, once a trouble condition is predicted or identified at the other UEs, the trouble condition may be proactively addressed, without requiring an explicit request from the other UEs to address the trouble condition.