Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: Facilitating assignment of root sequence index while minimizing network changes is provided herein. Operations of a system include determining an initial assignment of root sequence indexes for a group of network equipment. The operations can also include evaluating the initial assignment for first assignments that satisfy a defined criterion and second assignments that fail to satisfy the defined criterion. Based on the defined criterion, the operations can include updating the second assignments, resulting in updated second assignments. Further, the operations can include determining a revised assignment of root sequence indexes for the group of network equipment, wherein the revised assignment comprises the first assignments and the updated second assignments.

Abstract: A processing system including at least one processor may identify an excess utilization of a telecommunication network by a plurality of mobile monitoring devices. The plurality of mobile monitoring devices may be of a same mobile monitoring device type. In addition, the plurality of mobile monitoring devices may be associated with a plurality of users and wherein a primary function of the plurality of mobile monitoring devices is inaccessible to control by the plurality of users. The processing system may then determine that the excess utilization is not caused by the primary function of the plurality of mobile monitoring devices and perform at least one remedial action in response to the detecting of the excess utilization that is not caused by the primary function of the plurality of mobile monitoring devices.

Abstract: Facilitating assignment of root sequence index while minimizing network changes is provided herein. Operations of a system include determining an initial assignment of root sequence indexes for a group of network equipment. The operations can also include evaluating the initial assignment for first assignments that satisfy a defined criterion and second assignments that fail to satisfy the defined criterion. Based on the defined criterion, the operations can include updating the second assignments, resulting in updated second assignments. Further, the operations can include determining a revised assignment of root sequence indexes for the group of network equipment, wherein the revised assignment comprises the first assignments and the updated second assignments.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, facilitating receiving a disabling request for a first time period and applicable to a first service element in a first service path of first service elements to provide a service. The method can further include identifying, by the configuration equipment, and scheduled change data, a second service element from a combined group of the first and second service elements of a second service path for the provision of the service. Further, based on a first determination that the second service element is to be disabled during the first time period, facilitating disabling the first service element during a second time period where the second service element is not disabled.

Abstract: A framework referred to as COmposition fRamework for chaNge management (CORNET) may integrate re-usable abstraction, modular composition with plug-and-play capabilities, or automated translation of high-level change management intent into low-level implementations and mathematical models. CORNET may use real-world data collected from cellular networks (e.g., 4G or 5G) and virtualized services, such as virtual private networks (VPN) and software defined wide area networks (SDWAN) running in the cloud.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: Facilitating model-driven automated cell allocation in advanced networks (e.g., 5G and beyond) is provided herein. Operations of a method can comprise determining, by a system comprising a processor, a solution to an integer programming problem based on input data associated with a network inventory and configuration data for network devices of a group of network devices included in a communications network. Also, the method can comprise determining, by the system, respective cell identities and respective root sequence index assignments for the network devices. Further, the method can comprise implementing, by the system, a deployment of the respective cell identities and respective root sequence index assignments at the network devices.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first plurality of inputs that identify a plurality of geographical locations and a plurality of infrastructure located at the plurality of geographical locations, classifying each of the plurality of geographical locations in accordance with the first plurality of inputs to obtain a plurality of classes, obtaining a second plurality of inputs that identify costs, revenue, profits, or any combination thereof, associated with the plurality of infrastructure, processing the second plurality of inputs in conjunction with the plurality of classes to identify a first plurality of locations included in the plurality of geographical locations to decommission infrastructure included in the plurality of infrastructure, and presenting the first plurality of locations via a device. Other embodiments are disclosed.

Abstract: A more efficient over-the-air software push can be facilitated by leveraging a smart scheduling system for vehicles. The smart scheduling system can use location and network capacity data to prioritize over-the-air software pushes for vehicles. For instance, a vehicle, which is only operational during off-peak wireless network hours can receive a software push during the off-peak times because wireless network capacity is not an issue. However, vehicles, which are used primarily during heavy peak wireless network times can receive software in a prioritized manner based on location data, frequency of use, network capacity, etc.

Abstract: A new scalable approach to conflict-free deployment of changes across networks. The conflict rules or constraints may be modeled using policies and algorithms to determine an optimized schedule for change deployment.

Abstract: Software downloads to Internet of things (IoT) devices are facilitated over a constrained network. In one embodiment a method comprises monitoring, by a network device comprising a processor, data determined to have been sent to a device for transmission to the device via a radio access network device of a wireless communication network, and determining, by the network device, a type of traffic associated with the data. The method further includes based on a determination that the data comprises firmware and that the type of traffic is of a traffic priority that is lower than a defined traffic priority, applying, by the network device, a low priority transport protocol to the data, wherein the applying comprises associating protocol information with the data representative of the low priority transport protocol.

Abstract: Facilitating model-driven automated cell allocation in advanced networks (e.g., 5G and beyond) is provided herein. Operations of a method can comprise determining, by a system comprising a processor, a solution to an integer programming problem based on input data associated with a network inventory and configuration data for network devices of a group of network devices included in a communications network. Also, the method can comprise determining, by the system, respective cell identities and respective root sequence index assignments for the network devices. Further, the method can comprise implementing, by the system, a deployment of the respective cell identities and respective root sequence index assignments at the network devices.