Abstract: Aspects of the subject disclosure may include, for example, establishing a first cluster comprising a first plurality of members, identifying a first plurality of values to trial in respect of a first member of the first plurality of members, the first plurality of values being included in a second plurality of values and being less than an entirety of the second plurality of values, performing a first plurality of trials in respect of the first member of the first plurality of members based on iterating amongst the first plurality of values to obtain a first plurality of results, selecting at least one value included in the first plurality of values based on the first plurality of results, and utilizing the at least one value for each member of the first plurality of members of the first cluster. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a site integration issue regarding integration of equipment into a remote site based on a group of installation activity validation results obtained from site integration equipment of a site integrator regarding integration of equipment into a remote site of a geographically dispersed operational system. A remediation action is determined regarding the site integration issue for the remote site and an indication of the remediation action is provided to the site integrator, wherein implementation of the remediation action at the remote site results in a group of updated installation activity validation results. The group of installation activity validation results, the indication of the remediation action and the group of updated installation activity validation results are incorporated into a report. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, establishing a first cluster comprising a first plurality of members, identifying a first plurality of values to trial in respect of a first member of the first plurality of members, the first plurality of values being included in a second plurality of values and being less than an entirety of the second plurality of values, performing a first plurality of trials in respect of the first member of the first plurality of members based on iterating amongst the first plurality of values to obtain a first plurality of results, selecting at least one value included in the first plurality of values based on the first plurality of results, and utilizing the at least one value for each member of the first plurality of members of the first cluster. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, detecting a service outage in a service area of a wireless network, assessing scope of the service outage according to a set of bins defined for the service area affected by the service outage, identifying one or more cells serving the set of bins for the service area affected by the service outage, identifying candidate cells to be reconfigured to serve the bins, selecting one or more candidate cells, forming selected cells, determining antenna tilts for each of the selected cells, the antenna tilts determined to provide coverage to bins of the set of bins for the service area affected by the service outage, and redirecting antennas of the selected cells according to the antenna tilts to compensate for the service outage at bins of the set of bins. Other embodiments are disclosed.

Abstract: A processing system may obtain a data set with records of network parameter changes, each record including at least one network parameter change and at least one attribute associated with a first aspect of a communication network, and a corresponding network performance indicator change. A first record may include a plurality of network parameter change groups. The processing system may next perform a de-confusion process by identifying a second record comprising a single network parameter change group, determining that a corresponding network performance indicator change is different from that of the at least the first record, and updating the data set to replace the first record with at least two replacement records. The processing system may apply at least one of the network parameter change groups to a second aspect of the communication network based upon a decision output of a classifier that is trained using the updated data set.

Abstract: Aspects of the subject disclosure may include, for example, establishing a first cluster comprising a first plurality of members, identifying a first plurality of values to trial in respect of a first member of the first plurality of members, the first plurality of values being included in a second plurality of values and being less than an entirety of the second plurality of values, performing a first plurality of trials in respect of the first member of the first plurality of members based on iterating amongst the first plurality of values to obtain a first plurality of results, selecting at least one value included in the first plurality of values based on the first plurality of results, and utilizing the at least one value for each member of the first plurality of members of the first cluster. Other embodiments are disclosed.

Abstract: A method performed by a processing system including at least one processor includes grouping a plurality of nodes of a telecommunications network into a plurality of reference groups, based on a plurality of configuration attributes and on a plurality of load, mobility, radio frequency attributes for the plurality of nodes, selecting a first reference group of the plurality of reference groups, where the first reference group includes a subset of the plurality of nodes, selecting a first configuration parameter of the first reference group to be tuned, identifying a first value for the first configuration parameter that is most prevalent among the subset of the plurality of nodes, and setting the first configuration parameter for all nodes in the subset of the plurality of nodes to the first value.

Abstract: Aspects of the subject disclosure may include, for example, determining that a first network node device satisfies an overload threshold; identifying a second network node device that satisfies an availability threshold and that is initiating incoming handovers of second network communication devices, assigning one or more first values to one or more respective first relation parameters, each first value being associated with control of the incoming handovers of the second network communication devices; selecting a third network node device that satisfies an availability threshold, the third network node device being selected to receive outgoing handovers from the first network node device; and assigning one or more second values to one or more respective second relation parameters, each second value being associated with control of the outgoing handovers to the third network node device, wherein the one or more second values are assigned independently of the one or more first values.

Abstract: A processing system may obtain a data set with records of network parameter changes, each record including at least one network parameter change and at least one attribute associated with a first aspect of a communication network, and a corresponding network performance indicator change. A first record may include a plurality of network parameter change groups. The processing system may next perform a de-confusion process by identifying a second record comprising a single network parameter change group, determining that a corresponding network performance indicator change is different from that of the at least the first record, and updating the data set to replace the first record with at least two replacement records. The processing system may apply at least one of the network parameter change groups to a second aspect of the communication network based upon a decision output of a classifier that is trained using the updated data set.

Abstract: A method performed by a processing system including at least one processor includes grouping a plurality of nodes of a telecommunications network into a plurality of reference groups, based on a plurality of configuration attributes and on a plurality of load, mobility, radio frequency attributes for the plurality of nodes, selecting a first reference group of the plurality of reference groups, where the first reference group includes a subset of the plurality of nodes, selecting a first configuration parameter of the first reference group to be tuned, identifying a first value for the first configuration parameter that is most prevalent among the subset of the plurality of nodes, and setting the first configuration parameter for all nodes in the subset of the plurality of nodes to the first value.

Abstract: Aspects of the subject disclosure may include, for example, examining first actions imposed as part of a maintenance activity in respect of a communication network while the communication network is subjected to second actions as part of the maintenance activity, determining, based on the examining, that the first actions, in whole or in part, fail to adhere to a threshold, a requirement, or a specification, and based on the determining, reversing at least one action of the first actions. Other embodiments are disclosed.

Abstract: A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

Abstract: A method performed by a processing system including at least one processor includes sending an instruction to an application executing on a mobile device, where the instruction causes the application to configure the mobile device to measure and report a radio frequency of a first wireless communications access network, wherein the mobile device is subscribed to a service provided by a second wireless communications access network, receiving measurements of the radio frequency of the first wireless communications access network from the mobile device, and generating a coverage map illustrating a coverage of the first wireless communications access network, using the measurements.

Abstract: Aspects of the subject disclosure may include, for example, receiving information defining a high-capacity event in a mobility network, receiving information defining a network location of the high-capacity event in the mobility network, automatically configuring one or more network components of the mobility network according to a set of high-capacity parameters, the one or more network components associated with the network location of the high-capacity event, limiting access to the mobile network to specific users according to the high-capacity parameters, and after the high-capacity event, automatically configuring the one or more network components of the mobile network according to a set of reversion parameters. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, examining first actions imposed as part of a maintenance activity in respect of a communication network while the communication network is subjected to second actions as part of the maintenance activity, determining, based on the examining, that the first actions, in whole or in part, fail to adhere to a threshold, a requirement, or a specification, and based on the determining, reversing at least one action of the first actions. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, examining first actions imposed as part of a maintenance activity in respect of a communication network while the communication network is subjected to second actions as part of the maintenance activity, determining, based on the examining, that the first actions, in whole or in part, fail to adhere to a threshold, a requirement, or a specification, and based on the determining, reversing at least one action of the first actions. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining indications of a respective priority level of each cell of a plurality of cells in respect of supporting Category M (CATM) communication services, determining, at a first point in time, that CATM is active in a first cell of the plurality of cells, resulting in a first determination, determining, based on the first determination, that a utilization of resources of the first cell is greater than a first threshold, resulting in a second determination, and activating, based on the second determination, CATM in at least a second cell of the plurality of cells. Other embodiments are disclosed.

Abstract: A method includes selecting a study group including a first network element and a second network element of a network, selecting a control group including a third network element, identifying times at which a change is deployed at the first network element and the second network element, time-aligning the change at the first element and the change at the second network element to a common time, performing a statistical analysis that compares the performance of the network before the common time to the performance of the network after the common time, detecting an impact of the change on a performance of the network based on the statistical analysis, and initiating a remedial action when the impact comprises a degradation to the performance.

Abstract: A processing system may obtain a data set with records of network parameter changes, each record including at least one network parameter change and at least one attribute associated with a first aspect of a communication network, and a corresponding network performance indicator change. A first record may include a plurality of network parameter change groups. The processing system may next perform a de-confusion process by identifying a second record comprising a single network parameter change group, determining that a corresponding network performance indicator change is different from that of the at least the first record, and updating the data set to replace the first record with at least two replacement records. The processing system may apply at least one of the network parameter change groups to a second aspect of the communication network based upon a decision output of a classifier that is trained using the updated data set.

Abstract: The technologies described herein are generally directed to facilitate allocating resources to zones for IOT equipment in a fifth generation (5G) network or other next generation networks. An example method discussed herein includes identifying, by carrier allocation equipment, carrier transmission information corresponding to transmission of a first carrier signal configured to support Internet of things equipment. The method can further comprise analyzing, by the carrier allocation equipment, the carrier transmission information to determine coverage information corresponding to a potential for coverage, by the first carrier signal, of an Internet of things equipment support zone corresponding to a geographic area. The method can further include, based on the coverage information, facilitating configuring transmission parameter information, representative of a transmission parameter applicable to the coverage of the Internet of things equipment support zone by the first carrier signal.