Rakuten Symphony, Inc.

Rakuten Mobile, Inc.

Rakuten Symphony India Private Limited

Manmeet Bhangu

Pankaj Shete

Jyoti Bose

Kenichiro Aoyagi

Awn Muhammad

Puneet Devadiga

Mohit Luthra

Provided are system, method, and device for managing machine learning models in a network. According to embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: store one or more machine learning model; and distribute the one or more machine learning model to one or more target network element in a network.

System, method, and computer program for managing machine learning models in a network

Provided are a method, system, and an Service Management and Orchestration Framework (SMO) and O-Cloud to drain one or more O-Cloud Nodes based on recommendations from an rApp or manually by an O-Cloud Maintainer via the SMO. In particular, the method may include: receiving, by a SMO function, a first request or recommendation to drain at least one O-Cloud Node, the first request or recommendation being received from an rApp of a Non-Real-Time (Non-RT) RAN Intelligent Controller (RIC) or from an O-Cloud Maintainer; transmitting, by the SMO function to an Infrastructure Management Services (IMS) and/or Deployment Management Services (DMS) via an O2 interface, a second request to drain the at least one O-Cloud Node based on the received first request or recommendation; and receiving, from the IMS/DMS, a first notification as to whether the at least one O-Cloud Node has been drained.

System and method for draining of O-Cloud node

A method for optimizing the scheduling of an O-Cloud node, the method includes: determining a NF hosted on a O-Cloud node to be migrated to another O-Cloud nodes; sending a recommendation to the SMO to migrate the determined NF; sending instructions to implement the migration of the NF via an O2 interface to an O-Cloud management service; controlling the implementation of the migration of the determined NF to the other O-Cloud nodes; upon implementation of the migration, sending a confirmation notice to the SMO via the O2 interface; wherein the determining the one or more network functions NFs to be migrated, includes: obtaining data referring to historical and/or current utilization patterns of a O-Cloud node and/or a NF hosted thereon; inputting the data to an AI/ML model; obtaining a prediction of a utilization scenario; and determining a migration recommendation for the NF.

System and method for optimizing the scheduling of O-Cloud nodes in a telecommunications network

Provided are a method and system for cordoning an open radio access network (O-RAN) cloud (O-Cloud) node The method may include: receiving, by a Service Management and Orchestration Framework (SMO) function, a first request to cordon at least one O-Cloud node, the first request being received from a user terminal or from an rApp of a Non-Real-Time (Non-RT) RAN Intelligent Controller (RIC); transmitting, by the SMO function to an Infrastructure Management Services (IMS) and/or Deployment Management Services (DMS) via an O2 interface, a second request to cordon the at least one O-Cloud node based on the received first request; and receiving, from the IMS/DMS, a first notification that the at least one O-Cloud node has been cordoned, wherein the SMO function is at least one of a Federated O-Cloud Orchestration and Management (FOCOM) and Network Function Orchestration (NFO).

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Indore, India

Manmeet Bhangu