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Title:
SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE (AI) DRIVEN VOICE OVER LONG-TERM EVOLUTION (VOLTE) ANALYTICS
Document Type and Number:
WIPO Patent Application WO/2022/145860
Kind Code:
A1
Abstract:
A network management apparatus of a wireless network includes a network interface, a processor, and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to receive, via the network interface, first data comprising values of key performance indicators (KPIs) obtained from elements of the wireless network for a first time period, receive, via the network interface, second data comprising values of key quality indicators (KQIs) for the first time period, wherein the KQIs comprise metrics of end-user quality of service (QoS) of the wireless network, and perform supervised learning to train an artificial intelligence (AI) model based on the first and second data, wherein features of the AI model are based on KPIs available from elements of the wireless network, and outputs of the AI model comprise values of one or more KQIs.

Inventors:
KULKARNI N MANDAR (US)
XIN YAN (US)
WANG HAN (US)
PARK SANGKYU (US)
ZHANG JIANZHONG (US)
Application Number:
PCT/KR2021/019579
Publication Date:
July 07, 2022
Filing Date:
December 22, 2021
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
H04W24/02; H04W24/08
Domestic Patent References:
WO2019037577A12019-02-28
Foreign References:
US20200382361A12020-12-03
US20200099572A12020-03-26
US7689455B22010-03-30
Other References:
GUOCHAO SONG; WEI WANG; DA CHEN; TAO JIANG: "KPI/KQI-Driven Coordinated Multi-Point in 5G: Measurements, Field Trials, and Technical Solutions", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 16 April 2019 (2019-04-16), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081169861, DOI: 10.1109/MWC.2018.1800041
Attorney, Agent or Firm:
MUHANN PATENT & LAW FIRM (KR)
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