TELECOMMUNICATION SERVICE PROVIDER CONTROLLING AN UNDERLAY NETWORK IN CLOUD SERVICE PROVIDER ENVIRONMENT

    公开(公告)号:US20230336475A1

    公开(公告)日:2023-10-19

    申请号:US18101067

    申请日:2023-01-24

    IPC分类号: H04L45/64 H04L12/46

    CPC分类号: H04L45/64 H04L12/4633

    摘要: Embodiments are directed towards systems and methods for enabling a telecommunication service provider to control an underlay network in cloud service provider environment. One such method includes: dictating control of the underlay network to a telecommunication service provider in the cloud service provider environment; enabling control of a number of virtual routers to be deployed by the telecommunication service provider in the cloud service provider environment; and managing route tables for the virtual routers deployed by the telecommunication service provider in the cloud service provider environment. In some embodiments, the Virtual Private Cloud design is configured to be similar to a design of the on-prem architecture of the telecommunication service provider.

    USER PLANE FUNCTION (UPF) LOAD BALANCING BASED ON CURRENT UPF LOAD AND THRESHOLDS THAT DEPEND ON UPF CAPACITY

    公开(公告)号:US20230147177A1

    公开(公告)日:2023-05-11

    申请号:US18093710

    申请日:2023-01-05

    IPC分类号: H04W28/08 H04W72/52

    CPC分类号: H04W28/08 H04W72/52

    摘要: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

    User plane function (UPF) load balancing supporting multiple slices

    公开(公告)号:US11595851B1

    公开(公告)日:2023-02-28

    申请号:US17458889

    申请日:2021-08-27

    摘要: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

    User plane function (UPF) load balancing based on current UPF load and thresholds that depend on UPF capacity

    公开(公告)号:US11582641B1

    公开(公告)日:2023-02-14

    申请号:US17400943

    申请日:2021-08-12

    IPC分类号: H04W28/08 H04W72/12

    摘要: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

    User plane function (UPF) load balancing based on network data analytics to predict load of user equipment

    公开(公告)号:US11483738B1

    公开(公告)日:2022-10-25

    申请号:US17458117

    申请日:2021-08-26

    IPC分类号: H04W48/18 H04W28/08 H04L41/16

    摘要: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

    User plane function (UPF) load balancing based on current UPF load and thresholds that depend on UPF capacity

    公开(公告)号:US11910237B2

    公开(公告)日:2024-02-20

    申请号:US18093710

    申请日:2023-01-05

    IPC分类号: H04W28/08 H04W72/52

    CPC分类号: H04W28/08 H04W72/52

    摘要: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

    Leveraging a virtual router to bridge between an underlay and an overlay

    公开(公告)号:US11838150B2

    公开(公告)日:2023-12-05

    申请号:US18101069

    申请日:2023-01-24

    IPC分类号: H04L12/66 H04L12/46

    摘要: Embodiments are directed towards systems and methods for bridging data traffic between an underlay network and an overlay network within a wireless telecommunication network, such as a wireless 5G network. One such method including: providing access to an overlay network that includes virtual routers, wherein the overlay network is built above the underlay network, the underlay network including physical infrastructure that delivers packets; providing a UPFv that acts as an anchor for telephony voice functions; establishing routing protocols to transmit from the UPFv to one or more of the virtual routers; configuring one or more of the virtual routers to bridge an outgoing communication from the UPFv to a public cloud provider; instructing the virtual router to send the outgoing communication through the public cloud provider to the underlay network; and instructing the virtual router to receive an incoming communication from the underlay network through the public cloud provider to the UPFv.

    USER PLANE FUNCTION (UPF) LOAD BALANCING SUPPORTING MULTIPLE SLICES

    公开(公告)号:US20230062707A1

    公开(公告)日:2023-03-02

    申请号:US17458889

    申请日:2021-08-27

    IPC分类号: H04W28/08 H04W48/18

    摘要: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.