Invention Application
- Patent Title: SYSTEMS AND METHODS FOR MACHINE LEARNING MODEL AUGMENTATION USING TARGET DISTRIBUTIONS OF KEY PERFORMANCE INDICATORS IN A WIRELESS NETWORK
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Application No.: US17515595Application Date: 2021-11-01
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Publication No.: US20230139135A1Publication Date: 2023-05-04
- Inventor: Said Soulhi , Bryan Christopher Larish
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: H04W24/02
- IPC: H04W24/02 ; H04L12/24

Abstract:
A system described herein may provide a technique for the augmentation of one or more models based on target distributions of values associated with the models. Such models may be associated with a wireless network, and may associate a set of states to a set of values and/or to a set of actions. Such states may include particular sets of configuration parameters associated with the wireless network, the values may include Key Performance Indicators (“KPIs”) associated with a randomness state model or other metrics associated with the wireless network, and the actions may include one or more actions to perform with respect to the wireless network when given a particular state and/or set of KPIs.
Public/Granted literature
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