Abstract: Methods and systems for range testing mock devices using mesh topology are provided herein. For example, a method for range testing mock devices using mesh topology comprises supplying power to a plurality of mock devices corresponding to a plurality of actual devices in an energy management system, adding the plurality of mock devices to a range test list via a first wireless protocol, positioning the plurality of mock devices in a location where the plurality of actual devices will be installed, and triggering a range test via a second wireless protocol different than the first wireless protocol to determine if the plurality of mock devices have communication therebetween.

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.

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.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

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: Techniques described herein provide pooling of radio access network (RAN) resources in a disaggregated RAN in a manner that enables dynamic re-homing of RAN functions with minimal disruption to stateful communications. The RAN is a hierarchical arrangement of RAN units, each having an associated state at any given time. A RAN state pooling system (RSPS) is in communication with a pool of the RAN units via a high-speed communication channel. The RSPS is configured to maintain an updated repository of the state information for the RAN units in its serviced pool. In the event of re-homing from a first RAN unit to a second RAN unit in the pool (e.g., due to the first RAN unit failing, becoming overloaded, etc.), the RSPS provides the second RAN unit with the updated state information for the first RAN unit to facilitate a stateful re-homing.

Abstract: This invention flexibly controls the number of user planes in a communication system. In a communication system, a base station is in a local area network and at least one user plane function arranged in a cloud are connected. A determination is made as to whether or not a new user plane function should be added, taking into consideration: the traffic amount, from the maximum traffic amount using the local area network, of user data transferred by the at least one user plane function using the local area network; and an anticipated traffic amount of a new user plane function.

Abstract: Techniques described herein provide pooling of radio access network (RAN) resources in a disaggregated RAN in a manner that enables dynamic re-homing of RAN functions with minimal disruption to stateful communications. The RAN is a hierarchical arrangement of RAN units, each having an associated state at any given time. A RAN state pooling system (RSPS) is in communication with a pool of the RAN units via a high-speed communication channel. The RSPS is configured to maintain an updated repository of the state information for the RAN units in its serviced pool. In the event of re-homing from a first RAN unit to a second RAN unit in the pool (e.g., due to the first RAN unit failing, becoming overloaded, etc.), the RSPS provides the second RAN unit with the updated state information for the first RAN unit to facilitate a stateful re-homing.

Abstract: A system for cellular system observability data collection includes systems generating data; an observability (OBF) layer configured to collect the data and store the data for a maximum threshold amount of time; and a long term storage layer. The long term storage layer is in communication with the OBF layer to store the data for a term greater than the maximum threshold amount of time. Use applications requiring data to be not older than the maximum threshold amount of time retrieve data directly from the OBF layer, while other use applications retrieve data from the long term storage layer.

Abstract: A cellular network system for collecting data regarding operations in the cellular network includes a series of clusters comprising a first cluster. The first cluster includes a distributed unit (DU); a first data transport stream transmitting a first set of data from the DU; and a second data transport stream transmitting a second set of data from the DU. The first set of data includes the same data as the second set of data.

Abstract: A system includes domains comprising systems generating data from a cellular network employing clusters created using a containerized application, and an observability (OBF) layer configured to collect the data over all of the domains and store the data at a common source. The system also includes a streaming platform data store configured for ingesting and processing streaming data in real-time and distributing the data to applications requesting such data. The streaming platform extends completely over the OBF layer so that all data collected by the OBF layer is available to the streaming platform data store. The system also includes a processor configured to collect data at the common source and manage the domains directly using the data collected at the common source.

Abstract: A system includes domains comprising systems generating data from the cellular network system. The domains may include cellular towers; a core network located on a public network and comprising a central unit (CU); and a series of clusters that each comprise a distributed unit (DU) that communicates with the CU and the cellular towers. The system may further include a single collection module that collects data from all domains relating to the cellular network system and stores the collected data on a public network, and a data output module to output the data of the cellular network to a business domain on the public network.

Abstract: A cellular network system for cellular communications observability, the system comprising: domains comprising systems generating data from a cellular network employing a core and clusters created using a containerized application; an observability (OBF) layer configured to collect the data and store the data over all of the domains; and a streaming platform data store configured for ingesting and processing streaming data in real-time and distributing the data to applications requesting such data, wherein the streaming platform extends completely over the OBF layer so that all data collected by the OBF layer is available to the streaming platform data store; and at least one storage transport layer.

Abstract: A method including collecting data from a cellular network using clusters (created using a containerized application), public network and private network; parsing the collected data; filtering events based on the parsed data; and automatically applying corrective actions based on the filtered events.

Abstract: A system includes domains comprising a radio access network (RAN), physical network functions (PNFs), and clusters, whereby the RAN comprises a core on a public network and DUs on different clusters in a private network; and a single collection module that collects data from all of the domains and centralizes the data in a single location on the public network.

Abstract: Various systems and methods for cellular network slice management are presented. An application may be determined to be authorized to manage a cellular network slice utilized by the application for communication with user equipment. A request can be received from the application to modify the cellular network slice from the application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.

Abstract: A device may receive a merchant query including first merchant data associated with a first merchant. The first merchant data may be provided, as input, to a merchant matching model associated with a merchant data structure, the merchant matching model having been trained to determine a measure of confidence that input merchant data corresponds to an existing merchant in the merchant data structure. The device may receive, as output from the merchant matching model, a measure of confidence that the first merchant data corresponds to a second merchant, the second merchant being associated with second merchant data stored in the merchant data structure. The device may also determine, based on the measure of confidence, that the first merchant corresponds to the second merchant. Based on the determination, the device may obtain the second merchant data from the merchant data structure and perform an action based on the second merchant data.

Abstract: Various systems and methods for cellular network slice management are presented. A cloud-based application may be determined to be authorized to manage a cellular network slice utilized by the cloud-based application for communication with user equipment. A request can be received from the cloud-based application to modify the cellular network slice from the cloud-based application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.