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 based on a graphical representation of a layout of a geographic area, identifying, by equipment comprising a processor, a feature of the geographic area relevant to propagation of a signal propagated from a signal point on the layout, resulting in an identified feature. The method can further comprise based on the identified feature and the signal point, generating, by the equipment, a feature map for the geographic area by employing a neural network, wherein the feature map comprises a map depicting estimates of the propagation of the signal at locations within the geographic area.

Abstract: The concepts and technologies disclosed herein are directed towards territory assignment optimization. According to one aspect disclosed herein, a territory assignment optimization system can receive job data that identifies a plurality of jobs at a plurality of customer locations throughout a geographical area. The system can also receive one or more clustering parameters. The system can identify, via execution of a data clustering algorithm, a plurality of job dense areas within the geographical area based upon the job data and the clustering parameters. The system can reduce a size of at least one territory of a plurality of territories. Each territory can include a portion of the plurality of job dense areas. The system can also conditionally exchange an assignment of at least one of the plurality of job dense areas from a first territory of the plurality of territories to a second territory of the plurality of territories.

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 based on a graphical representation of a layout of a geographic area, identifying, by equipment comprising a processor, a feature of the geographic area relevant to propagation of a signal propagated from a signal point on the layout, resulting in an identified feature. The method can further comprise based on the identified feature and the signal point, generating, by the equipment, a feature map for the geographic area by employing a neural network, wherein the feature map comprises a map depicting estimates of the propagation of the signal at locations within the geographic area.

Abstract: The technologies described herein are generally directed to facilitating operation of a system for implementing fifth generation (5G) or other next generation networks. In accordance with one or more embodiments, systems described herein can include a processor, and a memory that can store executable instructions that can facilitate receiving, from a second device, information corresponding to iterations of ones of a sited group of antennas generated by the second device by selecting the iterations of ones of the sited group of antennas, with a selected iteration of the selected iterations including a subgroup of the sited group of antennas that is designated for a simulation of an operation of the subgroup. Further, the operations include simulating respective operations of the selected iterations, including propagation mapping with respect to respective wireless signals associated with the selected iterations, and estimating respective utilizations of the respective wireless signals.

Abstract: A method and apparatus for providing equipment maintenance are disclosed. The method receives data that is captured by at least one sensor deployed at a location, wherein the data is associated with at least one parameter of an equipment, receives atmospheric data for the location, monitors the at least one parameter of the equipment and the atmospheric data for the location, determines for the at least one parameter, whether an update to a risk measure associated with the equipment is needed, when a deviation from a baseline is detected that is greater than a threshold for a maximum deviation from the baseline, performs the update to the risk measure associated with the equipment, when the update to the risk measure associated with the equipment is needed, and generates a ticket for a remedial action based on the risk measure, when the risk measure triggers the scheduling of the remedial action.

Abstract: A method and apparatus for providing equipment maintenance are disclosed. The method receives data that is captured by at least one sensor deployed at a location, wherein the data is associated with at least one parameter of an equipment, receives atmospheric data for the location, monitors the at least one parameter of the equipment and the atmospheric data for the location, determines for the at least one parameter, whether an update to a risk measure associated with the equipment is needed, when a deviation from a baseline is detected that is greater than a threshold for a maximum deviation from the baseline, performs the update to the risk measure associated with the equipment, when the update to the risk measure associated with the equipment is needed, and generates a ticket for a remedial action based on the risk measure, when the risk measure triggers the scheduling of the remedial action.

Abstract: A method and apparatus for providing equipment maintenance are disclosed. The method receives data that is captured by at least one sensor deployed at a location, wherein the data is associated with at least one parameter of an equipment, receives atmospheric data for the location, monitors the at least one parameter of the equipment and the atmospheric data for the location, determines for the at least one parameter, whether an update to a risk measure associated with the equipment is needed, when a deviation from a baseline is detected that is greater than a threshold for a maximum deviation from the baseline, performs the update to the risk measure associated with the equipment, when the update to the risk measure associated with the equipment is needed, and generates a ticket for a remedial action based on the risk measure, when the risk measure triggers the scheduling of the remedial action.

Abstract: A method and apparatus for providing equipment maintenance are disclosed. For example, the method receives data that is captured by at least one sensor deployed at a location, wherein the data is associated with at least one parameter, receives atmospheric data for the location, monitors the at least one parameter of the equipment and the atmospheric data for the location, determines for the at least one parameter, whether an update to a risk measure associated with the equipment is needed, when a deviation from a baseline is detected that is greater than a threshold for a maximum deviation from the baseline, performs the update to the risk measure associated with the equipment, when the update to the risk measure associated with the equipment is needed, and generates a ticket for a remedial action based on the risk measure, when the risk measure triggers the scheduling of the remedial action.