CELONA, INC.

Various embodiments of a method and apparatus for introducing a new service are disclosed. In some embodiments, a first Metric Setting (i.e., a Packet Delay Budget (PDB)) is set based on a type associated with the new service, and initial values of the first Metric Setting are also chosen based on the type of the new service. Network conditions are allowed to vary, and performance parameters are measured while keeping the first performance metric so that it meets a fixed value. The other Metric Settings are set based on the measured performance parameters. The process of varying the network conditions, measuring the performance parameters and setting the Metric Settings based on the measurements are repeated until a set of parameters is arrived at, which optimizes the network's performance. Then the PDB is varied, and the process is repeated to optimize the PRB (Priority Resource Block) utilization.

Various embodiments of a method and apparatus for introducing a new service are disclosed. In some embodiments, a first Metric Setting (i.e., a Packet Delay Budget (PDB)) is set based on a type associated with the new service, and initial values of the first Metric Setting are also chosen based on the type of the new service. Network conditions are allowed to vary, and performance parameters are measured, while keeping the first performance metric at a fixed value. The other Metric Settings are set based on the measured performance parameters. The process of varying the network conditions, measuring the performance parameters and setting the Metric Settings based on the measurements is repeated until a set of parameters is arrived at, which optimizes the network's performance. Then the PDB is varied, and the process is repeated to optimize the PRB (Priority Resource Block) utilization.

A method and apparatus for utilizing microslices in an enterprise wireless communication network to manage and control network performance. The microslice instances are monitored during network operation, for example at communication nodes, functional blocks, and end-to-end to provide Key Performance Indicators (KPIs). These KPI are compared with performance objectives, which may be Service Level Objectives (SLOs). If the performance objectives are not met by the KPIs, then one or more of the microslice instances may be dynamically adjusted until the performance objectives are sufficiently met. Alternatively, the lower priority microslice instances may be dropped (i.e., terminated) until the performance objectives are sufficiently met.

A method and apparatus for allocating network resources, including computational nodes available for hosting network functions, such as 4G EPC (Evolved Packet Core) functions and/or 5GC (fifth generation Core) functions. An orchestrator monitors various network operational parameters in order to determine the most efficient allocation of resources (i.e., to determine which computational resources to allocate to hosting which network functions) at each particular point in time based on the network load and resources available.

Communications are transferred from being including a connection between User Equipment (UE) and a source node to including a connection between the UE and a target node, without requiring use of an X2 gateway. The method includes (1) ceasing to send messages from a source node, along the communications path, to User Equipment (UE), (2) then waiting a period of time, and (3) after the waiting, beginning to send messages along a new communication path from the target to the UE. The period of time is chosen to be adequate for flushing messages from a queue associated with the first communication path.

Various embodiments of a method and apparatus are disclosed. A higher MTU (Maximum Transmit Unit) between the network Core and the eNBs/gNodeBs (Evolved Node Bs/5 th generation Node B) or other AP (Access Point) of the network is configured, as well as in wireless RAN (Random Access Network) segments. These MTUs are dynamically adjusted to allow for the most efficient choices of packet size according to the capabilities of the UE (User Equipment) and radio conditions.

A private network is disclosed as having an HA (high availability) cluster and a VRRP (Virtual Router Redundancy Protocol) router for each of several nodes within the HA cluster. The VRPP router tracks each worker node in the cluster and provides a reliable service that run on the cluster of nodes. Track worker nodes are closely tracked using the VRRP router for each node. Node failures are immediately acted upon. In addition, a load balancer layer allows the amount of resources being used at any particular time to be balanced between the different nodes in the cluster.

A method and apparatus for allocating radio resources in a RAN deployment in an Enterprise Network. Radio resource parameter allocation decisions for all the Base Stations and Access Points (BS/APs) in the deployment are made responsive to network graphs formed using predicted path loss. In one embodiment the predicted path loss values are simulated for a particular enterprise network deployment, network graphs are formed using the path loss values, and radio resources parameters are allocated responsive to the network graphs. Advantageously, the network graphs provide the network with the ability to quickly and efficiently allocate radio resources, which can be automated. In the initial installation, this reduces cost and time. During operation, quick and efficient resource re-allocation provides quick adaptation to resource changes, an advantage that is useful particularly in the context of a CBRS system in which previously-available channels can be terminated.

Method and apparatus for scalable machine learning (ML)-based frameworks for resource planning and recommendations for Enterprise Networks are disclosed. In some embodiments, a method for determining network health assessment and providing network planning and recommendations in wireless enterprise networks is provided. The method quantifies resource health of a plurality of network elements operating within the enterprise network by calculating a plurality of distance metrics between acceptable health parameters and observed network resource utilization values associated and corresponding to each selected network element. The method ranks each of the network elements based upon the distance metrics calculated for each network element. Factors that negatively impact the resource health of the network elements are ranked in accordance to how severely they impact the performance of the network elements. The method and apparatus provide suggestions and recommendations to improve network performance of the network elements. An apparatus for scalable machine-learning (ML)-based frameworks for resource planning in enterprise networks is also disclosed.

Disclosed is a method and apparatus for storing geofencing information within a SIM card. The geofencing information within the SIM (subscriber identity module) card is updated using an OTA (over the air) Update Server. Such geofencing information for a particular enterprise network is pushed to the SIM within a UE (user equipment) upon detecting that the UE is near, or within, the campus of an enterprise network. In some embodiments, the UE requests an update from the OTA Update Server.