METHOD AND APPARATUS FOR UPGRADING RANDOM ACCESS NETWORK IN A COMMUNICATION SYSTEM

    公开(公告)号:US20230075108A1

    公开(公告)日:2023-03-09

    申请号:US18054296

    申请日:2022-11-10

    Abstract: A pre-5th-Generation (5G) or 5G communication system for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). Method and/or electronic device for managing a software upgrade of a network element of a random access network (RAN) by a management data analytics service (MDAS) producer is provided. The method comprises: receiving a request related to an optimal time for the software upgrade of the network element in the RAN, from a MDAS consumer; identifying information related to a dedicated radio bearer (DRB); identifying information related to the optimal time for the software upgrade of the network element based on the information related to the DBR; and transmitting a report including the information related to the optimal time for the software upgrade of the network element.

    INTELLIGENT CLOUD PLATFORM TO HOST RESOURCE EFFICIENT EDGE NETWORK FUNCTION

    公开(公告)号:US20210105228A1

    公开(公告)日:2021-04-08

    申请号:US17063627

    申请日:2020-10-05

    Abstract: This disclosure relates to deployment of additional workload in the NFV-MANO to efficiently utilize resources during a lean workload period of Virtual Network Functions (VNFs) associated with an intelligent cloud platform. The method comprises measuring, over a time period, a current resource utilization level of one or more rendered VNFs. Thereafter, forecasting future resource utilization for the time period based on predictive analysis criteria and the current resource utilization level of the one or more VNFs. The method further comprises a machine learning based inference for determining whether the forecast future resource utilization for said time period is less than a determined optimal resource utilization threshold value of the one or more VNFs. Thereafter, resources of the one or more VNFs to one or more additional workloads are allocated based on the determination of the future resource utilization.

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