Abstract: The embodiments in this invention extend distributed unit (DU), central unit (CU) and control plane of F1 (F1-C) capabilities so that differentiated DRBs of F1-U are placed on differentiated transport network components of equivalent QoS. This is achieved by a transport-aware DU and CU that can map each F1-U DRB into appropriate OSI layer 2-4 headers and can, subsequently, store such mappings. The F1-C interface is extended to distribute the layer 2-4 headers acquired from the transport network controller to the DUs and CU. A new control interface TN-C is defined between transport network controller and CU/DU. Furthermore, a trivial mapping of those embodiments is applicable for the N3 interface as well, which solves the same problem on the backhaul transport network.

Abstract: The embodiments in this invention extend distributed unit (DU), central unit (CU) and control plane of F1 (F1-C) capabilities so that differentiated DRBs of F1-U are placed on differentiated transport network components of equivalent QoS. This is achieved by a transport-aware DU and CU that can map each F1-U DRB into appropriate OSI layer 2-4 headers and can, subsequently, store such mappings. The F1-C interface is extended to distribute the layer 2-4 headers acquired from the transport network controller to the DUs and CU. A new control interface TN-C is defined between transport network controller and CU/DU. Furthermore, a trivial mapping of those embodiments is applicable for the N3 interface as well, which solves the same problem on the backhaul transport network.

Abstract: An application service provider (ASP) subscribes to a slice of the network of the mobile operator to offer its users on mobile devices a better-quality transport service. For example, the ASP subscribes to and pays for, say, a premium network slice dedicated for the use of its premium users that are on mobile devices. When a premium user accesses the application (and gets authorized by it), the application sends identifiers of the application/user to the Slice Identifier Function (SIF) of the mobile operator, which in turn directs the configuration of the core network components as well as the RAN attached to said user's mobile device according to the application's slice policies. As another example, the ASP subscribes to and pays for the default network slice for a differentiated treatment. When SIF identifies the application, it gives its users a higher QoS/priority than other users within the same slice.

Abstract: A new control function is defined for the control plane of a 5G mobile network to enable the operator's mobile user, who is using a premium network slice, to access application services on the public Internet, by operator sign-on only when accessing the application on said slice. This unique single sign-on capability allows the user to bypass the service authentication after operator authenticates the mobile device by the user session establishment procedure. The new function registers a plurality of service applications, which sign-up for single sign-on capability. It also coordinates the mapping and storage of credentials of the user across the mobile operator's service and the service provider's application for each of said plurality of service applications, and transfers user credentials to the application so that the user's sign-in step is bypassed.

Abstract: Software Defined Networking concepts apply to access, fronthaul, backhaul and core networks of 5G mobile networks and beyond. Such network components currently have individual/segmented control planes and associated controllers to provide configurability, provisioning, and network slicing. This is because of technology disparity between these network components: access is wireless/cellular, backhaul and fronthaul are optical/fiber, and core is electrical/wire-line.

Abstract: The embodiments in this invention extend distributed unit (DU), central unit (CU) and control plane of F1 (F1-C) capabilities so that differentiated DRBs of F1-U are placed on differentiated transport network components of equivalent QoS. This is achieved by a transport-aware DU and CU that can map each F1-U DRB into appropriate OSI layer 2-4 headers and can, subsequently, store such mappings. The F1-C interface is extended to distribute the layer 2-4 headers acquired from the transport network controller to the DUs and CU. A new control interface TN-C is defined between transport network controller and CU/DU. Furthermore, a trivial mapping of those embodiments is applicable for the N3 interface as well, which solves the same problem on the backhaul transport network.

Abstract: The embodiments in this invention extend distributed unit (DU), central unit (CU) and control plane of F1 (F1-C) capabilities so that differentiated DRBs of F1-U are placed on differentiated transport network components of equivalent QoS. This is achieved by a transport-aware DU and CU that can map each F1-U DRB into appropriate OSI layer 2-4 headers and can, subsequently, store such mappings. The F1-C interface is extended to distribute the layer 2-4 headers acquired from the transport network controller to the DUs and CU. A new control interface TN-C is defined between transport network controller and CU/DU. Furthermore, a trivial mapping of those embodiments is applicable for the N3 interface as well, which solves the same problem on the backhaul transport network.

Abstract: An application service provider (ASP) subscribes to a slice of the network of the mobile operator to offer its users on mobile devices a better-quality transport service. For example, the ASP subscribes to and pays for, say, a premium network slice dedicated for the use of its premium users that are on mobile devices. When a premium user accesses the application (and gets authorized by it), the application sends identifiers of the application/user to the Slice Identifier Function (SIF) of the mobile operator, which in turn directs the configuration of the core network components as well as the RAN attached to said user's mobile device according to the application's slice policies. As another example, the ASP subscribes to and pays for the default network slice for a differentiated treatment. When SIF identifies the application, it gives its users a higher QoS/priority than other users within the same slice.

Abstract: The embodiments in this invention extend distributed unit (DU), central unit (CU) and control plane of F1 (F1-C) capabilities so that differentiated DRBs of F1-U are placed on differentiated transport network components of equivalent QoS. This is achieved by a transport-aware DU and CU that can map each F1-U DRB into appropriate OSI layer 2-4 headers and can, subsequently, store such mappings. The F1-C interface is extended to distribute the layer 2-4 headers acquired from the transport network controller to the DUs and CU. A new control interface TN-C is defined between transport network controller and CU/DU. Furthermore, a trivial mapping of those embodiments is applicable for the N3 interface as well, which solves the same problem on the backhaul transport network.

Abstract: Software Defined Networking concepts apply to access, fronthaul, backhaul and core networks of 5G mobile networks and beyond. Such network components currently have individual/segmented control planes and associated controllers to provide configurability, provisioning, and network slicing. This is because of technology disparity between these network components: access is wireless/cellular, backhaul and fronthaul are optical/fiber, and core is electrical/wire-line.

Abstract: A new control function is defined for the control plane of a 5G mobile network to enable the operator's mobile user, who is using a premium network slice, to access application services on the public Internet, by operator sign-on only when accessing the application on said slice. This unique single sign-on capability allows the user to bypass the service authentication after operator authenticates the mobile device by the user session establishment procedure. The new function registers a plurality of service applications, which sign-up for single sign-on capability. It also coordinates the mapping and storage of credentials of the user across the mobile operator's service and the service provider's application for each of said plurality of service applications, and transfers user credentials to the application so that the user's sign-in step is bypassed.

Abstract: A method as implemented in a controller in a SDN: (a) receiving service function chain orders of packet flows comprising a service function chain; (b) receiving, in real-time, delay measurements from either one of the virtual network functions and/or one of the network switches; (c) determining a plurality of realizations of the service function chain orders of (a) in order to minimize a total delay; (d) choosing an optimal realization corresponding to a least delay; and (e) determining one or more flow rules for the one or more network switches, the determining based on the optimal realization in (d). A controller and an article of manufacture implementing such a method are also described.

Abstract: Software Defined Networking concepts apply to access, fronthaul, backhaul and core networks of 5G mobile networks and beyond. Such network components currently have individual/segmented control planes and associated controllers to provide configurability, provisioning, and network slicing. This is because of technology disparity between these network components: access is wireless/cellular, backhaul and fronthaul are optical/fiber, and core is electrical/wire-line.

Abstract: Disclosed within are a system and method for efficient slicing of an SDN-based 5G core network by using service-specific aggregate tunnels along key tunnel interfaces between network functions.

Abstract: Disclosed within are a system and method for efficient slicing of an SDN-based 5G core network by using service-specific aggregate tunnels along key tunnel interfaces between network functions.

Abstract: A probe virtual network function (VNF) is deployed in a software defined network (SDN), where the probe VNF computes delays and determines operation status of other VNFs as ‘available’ or ‘unavailable’ based on whether the computed delays are bounded or unbounded (or if a packet fails to arrive at a given VNF). The computed delay and the determined operation-status are then reported to a control function. The availability of such delay measurements using the probe VNF makes the routing algorithm within the controller more intelligent by incorporating the delay sensitivity of various service function chains.

Abstract: A method as implemented in a controller in a SDN: (a) receiving service function chain orders of packet flows comprising a service function chain; (b) receiving, in real-time, delay measurements from either one of the virtual network functions and/or one of the network switches; (c) determining a plurality of realizations of the service function chain orders of (a) in order to minimize a total delay; (d) choosing an optimal realization corresponding to a least delay; and (e) determining one or more flow rules for the one or more network switches, the determining based on the optimal realization in (d). A controller and an article of manufacture implementing such a method are also described.

Abstract: A new component is provided within a switch that ‘learns’ from the messages between the switch and the controller regarding how to behave like a controller under different network conditions and how to optimize the switch flow tables by implementing techniques like aggregation to save memory space, wherein the new component can act as a ‘proxy controller’ that resides within the switch. This new component can be activated when a specific trigger happens, wherein the trigger is programmable into the switch. After the trigger is active, the proxy/local controller starts undertaking some or all of the roles of the controller until the trigger is deactivated. Because different types of triggers can be programmed, the new component can have one or more of the control functions. The teaching of the new component (which can be a hardware chip or software) is performed outside the switch using machine-learning techniques (e.g. deep learning).