Abstract: Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.

Abstract: Architectures and techniques are presented that improve or enhance a network planning procedure such as interactively planning suitable locations for transceiver sites that communicate with one another. Map data indicative of a 3D depiction of a physical space can be presented to a user interface device. Input indicative of a first transceiver site and a second transceiver site can be received. A Fresnel zone between the first transceiver site and the second transceiver site can be determined based on the map data. An interactive representation of the Fresnel zone can be presented to the user interface device.

Abstract: A device includes a processor and a memory. The processor effectuates operations including monitoring enterprise network traffic associated with one or more user equipment (UE). The processor further effectuates operations including comparing the enterprise network traffic to a UE profile associated with each of the one or more UE. The processor further effectuates operations including determining whether the comparison indicates that a predetermined threshold has been exceeded. The processor further effectuates operations including in response to the indication that the predetermined threshold has been exceeded, generating an alert, wherein exceeding the predetermined threshold is indicative of a denial of service attack on an enterprise network or an attempt to remove enterprise data via the one or more UE.

Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.

Abstract: Architectures and techniques are presented that improve or enhance a network planning procedure such as interactively planning suitable locations for transceiver sites that communicate with one another. Map data indicative of a 3D depiction of a physical space can be presented to a user interface device. Input indicative of a first transceiver site and a second transceiver site can be received. A Fresnel zone between the first transceiver site and the second transceiver site can be determined based on the map data. An interactive representation of the Fresnel zone can be presented to the user interface device.

Abstract: A device includes a processor and a memory. The processor effectuates operations including generating a plurality of tiles for a designated region and classifying each of the plurality of tiles based on whether each tile is associated with a deployment zone. The operations further including clustering locations associated with one or more tiles of the plurality of tiles, wherein the one or more tiles are classified as being associated with the deployment zone, wherein the clustering generates at least one vertex. The operations further including forming a polygon based on the at least one vertex. The operations further including providing a map of the designated region including the polygon at a location in the map associated with the deployment zone, wherein the deployment zone is one or more areas of service within the designated region that are prioritized for new or additional services, or infrastructure based on design criteria.

Abstract: An example method performed by a processing system includes obtaining a light detecting and ranging point cloud of a building, where the point cloud includes a plurality of points, and where each point is associated with a set of (x,y,z) coordinates. A first point of the plurality of points is assigned to a subset of the plurality of points that is associated with the building, where the subset includes points whose (x,y) coordinates fall within a footprint of the building. The first point is grouped into a first cluster according to at least one of: a (z) coordinate of the first point and a gradient to which the first point belongs. A first prism formed by the first cluster is constructed. A model of the building is stored as a plurality of connected prisms, where the plurality of connected prisms includes the first prism.

Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.

Abstract: Aspects of the subject disclosure may include, for example, collecting and storing data about a communication environment including one or more communication networks wherein respective communication networks of the one or more communication networks employ respective communication technologies for communication with remote user devices in the communication environment, providing traffic forecasts of communication traffic, creating importance layers for potential build locations for equipment of the one or more communication networks, identifying desirable build locations among the potential build locations of the one or more communication networks based on the traffic forecasts of communication traffic and the importance layers, receiving user input defining planning parameters for the communication environment and determining respective target goal values for respective build options for the one or more communication networks based on the planning parameters, the identified desirable build locations and the

Abstract: Aspects of the subject disclosure may include, for example, identifying a first object included in at least one image in accordance with an execution of an image processing algorithm, analyzing a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object, selecting one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object, and presenting the selected object on a presentation device. Other embodiments are disclosed.

Abstract: Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.

Abstract: Systems and methods may use a math programming model for designing an edge cloud network. The edge cloud network design may depend on various factors, including the number of edge cloud nodes, edge cloud node location, or traffic coverage, among other things.

Abstract: Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.

Abstract: Systems and methods may use a math programming model for designing an edge cloud network. The edge cloud network design may depend on various factors, including the number of edge cloud nodes, edge cloud node location, or traffic coverage, among other things.

Abstract: A method and apparatus for providing planning of a plurality of base station controllers in a wireless network are disclosed. For example, the method obtains input data, and determines a limit for at least one base station controller parameter in accordance with the input data. The method determines if the limit for the at least one base station controller parameter is exceeded and determines an optimal output for an objective function, wherein the objective function is based on a plurality of penalty factors, if the limit for the at least one base station controller parameter is exceeded.

Abstract: Systems and methods may use a math programming model for designing an edge cloud network. The edge cloud network design may depend on various factors, including the number of edge cloud nodes, edge cloud node location, or traffic coverage, among other things.

Abstract: A method and apparatus for providing planning of a plurality of base station controllers in a wireless network are disclosed. For example, the method obtains input data, and determines a limit for at least one base station controller parameter in accordance with the input data. The method determines if the limit for the at least one base station controller parameter is exceeded and determines an optimal output for an objective function, wherein the objective function is based on a plurality of penalty factors, if the limit for the at least one base station controller parameter is exceeded.

Abstract: A method and apparatus for providing planning of a plurality of base station controllers in a wireless network are disclosed. For example, the method obtains input data, and determines a limit for at least one base station controller parameter in accordance with the input data. The method determines if the limit for the at least one base station controller parameter is exceeded and determines an optimal output for an objective function, wherein the objective function is based on a plurality of penalty factors, if the limit for the at least one base station controller parameter is exceeded.

Abstract: Dynamic metro cell location planning is provided within the wireless communication coverage area of a macro cell. Metro cell location planning can include obtaining performance parameters associated with the macro cell and evaluating coverage parameters of the macro cell. Metro cell location planning can also include selecting, based on the performance parameters and the coverage parameters, a location within a wireless communication coverage area of the macro cell for placement of the metro cell. The selected location can be conveyed to a user and/or entity for deployment of the metro cells. Metro cells can be used by a carrier to fill a coverage hole and/or to offload capacity hot-spots within the network.

Abstract: A method and apparatus for providing planning of a plurality of base station controllers in a wireless network are disclosed. For example, the method obtains input data, and determines a limit for at least one base station controller parameter in accordance with the input data. The method determines if the limit for the at least one base station controller parameter is exceeded and determines an optimal output for an objective function, wherein the objective function is based on a plurality of penalty factors, if the limit for the at least one base station controller parameter is exceeded.