Systems and methods for secure virtualized base station orchestration

    公开(公告)号:US12010510B2

    公开(公告)日:2024-06-11

    申请号:US17856164

    申请日:2022-07-01

    CPC classification number: H04W12/0431 H04L63/0272 H04W12/069

    Abstract: In one embodiment, a method for secure virtualized wireless base station orchestration comprises: obtaining a node certificate and private key from a global CA defining a PKI signing certificate/private key; obtaining a sub CA certificate/private key from either an edge cloud node cluster or the global CA, using a PKI request signed using the PKI signing certificate/private key; establishing an orchestration access IPsec tunnel to a cloud comprising edge cloud orchestration functions; utilizing the orchestration functions to deploy on the node virtualized entities comprising VNFs of a wireless base station; obtaining at least one VNF certificate and private key for the VNFs from the global CA using a PKI request signed using the global certificate/private key; utilizing the VNF certificate/private key, establishing IPsec tunnels between the VNFs and a wireless network services operator network and/or to an OAM secure gateway for a DMS.

    SYSTEM AND METHOD OF CLOUD BASED CONGESTION CONTROL FOR VIRTUALIZED BASE STATION

    公开(公告)号:US20250112829A1

    公开(公告)日:2025-04-03

    申请号:US18730724

    申请日:2023-01-19

    Abstract: One embodiment is used in a scalable cloud environment configured to implement a plurality of virtualized entities that implement a part of a base station to provide wireless service to user equipment. The plurality of virtualized entities comprises first and second virtualized entities. Processing performed by the first virtualized entity generates data that is used by processing performed by the second virtualized entity. Cloud native software included in the scalable cloud environment is configured to collect cloud-native metrics associated with implementing the second virtualized entity in the scalable cloud environment. The existence of a congestion condition for the second virtualized entity can be determined based on the cloud-native metrics collected for the second virtualized entity and, in response to determining that the congestion condition exists for the second virtualized entity, a control action can be taken in order to throttle the first virtualized entity.

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