Abstract: Various arrangements of a hybrid cellular network are presented. The hybrid cellular network includes multiple base stations. Multiple subnets are created within a region of a public cloud computing platform. Each subnet can be executed at a different data center of the public cloud computing platform. Cellular network functions are instantiated within the subnets in the region of the public cloud computing platform. Multiple virtual routers that manage the routing of packets for the cellular network functions are created within the subnets.

Abstract: Various arrangements of a hybrid cellular network system are detailed herein. The system can include a cellular radio access network (RAN) comprising a plurality of base stations (BSs). Each BS can include an antenna, a physical router; a radio units (RU), and a distributed unit (DU). The system can include multiple pass-through edge data centers (P-EDCs). Each P-EDC is in communication with a different subset of BSs. The system can include an aggregation data center (ADC) in communication with the P-EDCs. The system can further include a breakout edge data center (EDC) executed at an EDC of a cloud computing platform, the B-EDC including a second transit gateway and a virtual router.

Abstract: 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.

Abstract: 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.

Abstract: Various arrangements of hybrid cloud cellular network systems are presented herein. A cellular radio access network (RAN) that includes multiple base stations (BSs) can be in communication with a cloud computing platform. Multiple cloud-implemented national data center (NDC) instantiations can be present and executed on the cloud computing platform. Network functions (NFs) are executed within each cloud-implemented NDC instantiation on the cloud computing platform. The system further includes instances of a cellular network database function that updates each other instance of the cellular network database function across the NDC instantiations.

Abstract: Embodiments are directed towards systems and methods for managing user experiences during cellular telecommunication outages within a wireless telecommunication network, such as a wireless 5G network. Example embodiments include systems and methods for managing user experiences during a cellular telecommunication network outage involving network communication failure detection and performing different recovery actions in response to detecting a failure in communication between certain telecommunication network components and/or failure of certain network links.

Abstract: A system for dynamic edge routing of data traffic for a mobile entity having a plurality of applications is provided. An automotive edge router (AER) is located on the mobile entity. The AER is configured to connect to and be in signal communication with a plurality of cellular networks associated with different communication service providers (CSPs), and to receive performance data for each of the plurality of cellular networks. A data traffic controller is in signal communication with the AER via one of the plurality of cellular networks and is configured to receive the performance data for each cellular network from the AER, to dynamically select one of the plurality of cellular networks for each of the applications on the mobile entity based on the performance data, and to transmit a command signal to the AER indicating the selection of one of the plurality of cellular networks for each application.

Abstract: Various examples of automated processes, computing systems, devices and other aspects of a wireless data network are disclosed herein. According to various embodiments, message flooding in the wireless network is reduced through the use of “dummy” messages from the radio unit (RU) to the distributed unit (DU) or layer two (L2) switch. The dummy messages tend to prevent timeout of the RU's data in the L2 switch's routing tables, thereby prolonging the period of time that the L2 switch is able to more efficiently direct subsequent traffic toward that particular device.

Abstract: 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.

Abstract: Embodiments are directed towards systems and methods for managing user experiences during cellular telecommunication outages within a wireless telecommunication network, such as a wireless 5G network. Example embodiments include systems and methods managing user experiences during a cellular telecommunication network outage utilizing a backup data center. For example, in response to the distributed unit (DU) detecting there exists the failure in communication between the DU and the corresponding primary centralized unit control plane (CU-CP), the system causes the DU to switch from using the corresponding primary CU-CP to using the secondary CU-CP of a secondary CU hosted on the backup cloud-native virtualized compute instance based on utilizing a secondary ID pre-configured on the DU.

Abstract: Automated processes, computing systems, devices and other aspects of a wireless data network are described. According to various embodiments, message flooding in the wireless network is reduced through the use of “dummy” messages from the radio unit (RU) to the distributed unit (DU) and/or layer two (L2) switch. The dummy messages prevent timeout of the RU's data in the L2 switch's routing tables, thereby prolonging the period of time that the L2 switch is able to more efficiently direct subsequent traffic toward that particular device.

Abstract: 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.

Abstract: A mobile network operator may deploy a distributed network stack including, deploying a first cloud native function in a first public cloud and deploying a second cloud native function in a second public cloud. A system may provide a connected virtual private cloud. A system may deploy one or more virtual routers within the connected virtual private cloud. A system may connect the first public cloud and the second public cloud to the connected virtual private cloud using the one or more virtual routers in the connected virtual private cloud to form the overlay network. A system may transmit data traffic between the first cloud native function and the second cloud native function using the overlay network.

Abstract: Embodiments are directed towards systems and methods for bridging data traffic between an underlay network and an overlay network within a wireless telecommunication 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.

Abstract: Embodiments are directed towards systems and methods for managing user experiences during cellular telecommunication outages within a wireless telecommunication network, such as a wireless 5G network. Example embodiments include systems and methods managing user experiences during a cellular telecommunication network outage utilizing a backup data center. For example, in response to the distributed unit (DU) detecting there exists the failure in communication between the DU and the corresponding primary centralized unit control plane (CU-CP), the system causes the DU to switch from using the corresponding primary CU-CP to using the secondary CU-CP of a secondary CU hosted on the backup cloud-native virtualized compute instance based on utilizing a secondary ID pre-configured on the DU.

Abstract: Methods, devices, and systems for network slicing are provided. In one example, a method includes: selecting a first network slice and a second network slice both pertaining to a common data network, designating a first traffic flow to the first network slice and a second traffic flow to the second network slice, generating a first network slice profile including a first network identifier and first mapping information, generating a second network slice profile including a second network identifier and second mapping information, assigning the first network slice profile to the first traffic flow and the second network slice profile to the second traffic flow, and separating the first traffic flow from the second traffic flow on a user plane function (UPF) instance, based on the assigned first network slice profile and the second network slice profile.

Abstract: Embodiments an enterprise leasing from an access on-demand (AoD) provider access to radio unit (RU) and spectrum having specific bandwidth. The enterprise instantiates some of their network functions (NFs) to reside in the AoD private cloud and other NFs in a private or public cloud provided by a could service provider of their choice. The enterprise leases their desired NFs, spectrum and transport (all as a service) to build their 5G network. The system of the AoD provider also offers the enterprises transport/connectivity to other public/private clouds or to the Internet and offers management services to the enterprises.

Abstract: 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.

Abstract: 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.

Abstract: 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.