SYSTEMS AND METHODS FOR MACHINE LEARNING BASED SLICE MODIFICATION, ADDITION, AND DELETION

Inventor: HEGDE HARSHA [US]

Applicant: COMMSCOPE TECHNOLOGIES LLC [US]

Published Aug. 10, 2023 View on Espacenet ↗

Date	Code	Description	Pages	PDF
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2023-02-14	`P.123.OUT`	Outgoing - PCT/RO/123 - Notification Concerning Representation	1	View
2023-02-14	`P.102`	PCT/RO/102 - Notification Concerning Payment of Prescribed Fees and Annex	2	View
2023-02-14	`P.105`	PCT/RO/105 - Notification of the International Application Number and of the International Filing Date	1	View
2023-01-24	`SPEC`	Specification	—	View
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2023-01-24	`SPEC`	Specification	30	View
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2023-01-24	`ABST`	Abstract	1	View
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2023-01-24	`P.N.101.SAFE`	PCT/RO/101 - Request form for new International Application - PCT EASY Format	4	View
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Abstract

Systems and methods for machine learning based network slice modification, addition, and deletion are provided. In one example, a method includes receiving time data, traffic data, and QoS data and determining a predicted radio resource usage of a base station based on the time data, traffic data, and QoS data. The base station includes at least one BBU, radio unit(s) communicatively coupled to the at least one BBU, and antenna(s) communicatively coupled to the radio unit(s). Each respective radio unit is communicatively coupled to a respective subset of the antenna(s). The at least one BBU, the radio unit(s), and the antenna(s) are configured to implement a base station for wirelessly communicating with user equipment. The method further includes dynamically modifying, adding, or deleting one or more network slices based on the predicted radio resource usage of the base station.

Inventors

HEGDE HARSHA [US]

Applicants

COMMSCOPE TECHNOLOGIES LLC [US]

IPC Classification

G06N 20/ 00 A I H04W 28/ 18 A I H04W 48/ 18 A I H04W 88/ 08 A I