Abstract: In one embodiment, a method includes receiving, by one or more interfaces, an optimization application, a request for an optimization, one or more policies required to implement the optimization, and data required to implement the optimization. The method also includes converting, by one or more processors and the optimization application, the one or more policies into optimization constraints and objective functions. The method further includes determining, by one or more processors and the optimization application, a solution to the optimization based on the optimization constraints, the objective functions, and the data.

Abstract: A method includes receiving, at a model and optimization framework, a request, rendered in a first format, for a service to be implemented on a subset of a software-defined network. The request includes at least one constraint affecting implementation of the service. The method includes producing an optimized solution, rendered in a second format, for implementing the service based on the at least one constraint. The method includes translating the optimized solution to the first format and providing instructions for a cloud manager to implement the service consistent with the translated optimized solution.

Abstract: A system for generating network policies includes a run-time execution platform configured to manage operations of a network, an analytics engine in communication with the run-time execution platform, an input-output interface associated with the analytics engine, and a processor coupled to the input-output interface and wherein the processor effectuates operations including creating a set of baseline performance statistics associated with the network, identifying an anomaly in the network, scoring the anomalies based on the identifying step, and setting policies for operation of the network using predictive analytics.

Abstract: Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.

Abstract: A method and apparatus for transmitting a control signal to a self organizing network controller, are disclosed. For example, the method implemented via a processor receives a change, determines whether the change to at least one network element maintains an acceptable level for one or more service quality metrics based on a predicted service quality metric calculated using a modeling function, generates a control signal based on the determining, and transmits the control signal to the self organizing network controller to cause the self organizing network controller to configure the at least one network element in a communication network in accordance with the control signal.

Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.

Abstract: A self organizing network within a software defined networking environment is provided to allow for fast updating of radio access network parameters which enables optimization algorithms to converge on optimized configurations very quickly. The self organizing network is enabled by providing a self organizing network manager plug-in within a software defined networking environment that interfaces with a radio access network plug-in via a service abstraction layer to quickly obtain base station device parameters, iteratively adjust the base station device parameters to obtain optimized radio access network configurations to mitigate outages, reduce power consumption, manage load, or provide other benefits.

Abstract: Aspects of the subject disclosure may include, for example, receiving network information for a group of video sessions. Embodiments include calculating an overall video traffic metric for the group of video sessions for each cell based on the network information and include determining a first overall video traffic metric of a first cell is above a first predetermined threshold and a second overall video traffic metric of a second cell is below the first predetermined threshold. Also, embodiments include generating a graphical map that indicates the overall video traffic metric for each cell in the cellular network and sending the graphical map to a mobile device in the first cell showing first overall video traffic metric and the second overall video traffic metric relative to the first predetermined threshold. Other embodiments are disclosed.

Abstract: A method and apparatus for transmitting a control signal to a self organizing network controller, are disclosed. For example, the method implemented via a processor receives a change, determines whether the change to at least one network element maintains an acceptable level for one or more service quality metrics based on a predicted service quality metric calculated using a modeling function, generates a control signal based on the determining, and transmits the control signal to the self organizing network controller to cause the self organizing network controller to configure the at least one network element in a communication network in accordance with the control signal.

Abstract: A self organizing network within a software defined networking environment is provided to allow for fast updating of radio access network parameters which enables optimization algorithms to converge on optimized configurations very quickly. The self organizing network is enabled by providing a self organizing network manager plug-in within a software defined networking environment that interfaces with a radio access network plug-in via a service abstraction layer to quickly obtain base station device parameters, iteratively adjust the base station device parameters to obtain optimized radio access network configurations to mitigate outages, reduce power consumption, manage load, or provide other benefits.

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: Aspects of the subject disclosure may include, for example, receiving network information for a group of video sessions. Embodiments include calculating an overall video traffic metric for the group of video sessions for each cell based on the network information and include determining a first overall video traffic metric of a first cell is above a first predetermined threshold and a second overall video traffic metric of a second cell is below the first predetermined threshold. Also, embodiments include generating a graphical map that indicates the overall video traffic metric for each cell in the cellular network and sending the graphical map to a mobile device in the first cell showing first overall video traffic metric and the second overall video traffic metric relative to the first predetermined threshold. Other embodiments are disclosed.

Abstract: A scalable virtualized network core is provided to allow for incrementally adjusting network resources in response to changing demand, and for improved flexibility in network management and control. The scalable virtualized network core provides a cloud evolved packet core that has virtual machines performing the functions of the individual server elements. As demand for network resources changes, additional virtual machines can be brought online or virtual machines can be terminated to efficiently address the demand. An abstraction agent can be provided to facilitate the physical to logical connections so that to the perspective of elements in a radio access network, no changes have been made. The abstraction agent also facilitates network control and management of the virtual machines.

Abstract: Aspects of the subject disclosure may include, for example, embodiments include receiving a first trouble ticket reporting a first service outage of a communication network and a second trouble ticket reporting a second service outage of the communication network. Further embodiments can include determining a first customer impact according to the first service outage and determining a second customer impact according to the second service outage. The first customer impact is determined by a degradation of quality metrics, a site priority, and a number of complaints due to each service outage. Additional embodiments can include identifying that the second customer impact is higher than the first customer impact. Also, embodiments can include prioritizing a resolution of the second trouble ticket over the first trouble ticket according to the second customer impact being higher than the first customer impact. Other embodiments are disclosed.

Abstract: A method includes receiving, at a model and optimization framework, a request, rendered in a first format, for a service to be implemented on a subset of a software-defined network. The request includes at least one constraint affecting implementation of the service. The method includes producing an optimized solution, rendered in a second format, for implementing the service based on the at least one constraint. The method includes translating the optimized solution to the first format and providing instructions for a cloud manager to implement the service consistent with the translated optimized solution.

Abstract: A method, computer readable storage device and an apparatus for locating a mobile endpoint device in an indoor environment are disclosed. For example, the method generates a location map having a predicted signal strength for each respective location on the location map, receives a signal strength associated with the mobile endpoint device within the indoor environment, compares the signal strength to the location map having the predicted signal strength for each respective location on the location map and locates the mobile endpoint device as being at a particular location within the indoor environment.

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, computer readable medium for diagnosing wireless network performance via a customer endpoint device are disclosed. For example, the method receives a request to perform a wireless network performance diagnostic test that is initiated by a customer endpoint device, establishes a session with the customer endpoint device, performs the wireless network performance diagnostic test in response to the request via the session using a packet generated by the customer endpoint device and provides diagnostic test data gathered from the wireless network performance diagnostic test to the customer endpoint device.

Abstract: Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.

Abstract: Techniques for locating a mobile device using a time distance of arrival (TDOA) method with disturbance scrutiny are provided. In an aspect, for respective combinations of three base station devices of a number of base station devices greater than or equal to three, intersections in hyperbolic curves, generated using a closed form function with input values based on differences of distances from the device to pairs of base station devices of the respective combinations of three base station devices, are determined. The intersection points are then tested for robustness against measurement errors associated with the input values and a subset of the intersection points that are associated with a degree of resistance to the measurement errors are selected to estimate a location of the device.