Abstract: The technologies described herein are generally directed to preparing for a connection with a user equipment while the user equipment is in an idle state in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include facilitating transmitting a signal directed by an antenna of base station equipment. The method can further include, facilitating receiving, from a user equipment, a message, wherein the message comprises feedback information describing receipt of the signal while the user equipment was in an idle mode at a location. Further, the method can comprise, based on the feedback information and the location, generating a model of signal propagation applicable to signals at the location.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system coupled to a communication network identifies, based on base station unit (BSU) performance measurements and network key performance indicator (KPI) measurements, a set of BSUs experiencing interference. The method further includes selecting BSUs from the identified set that are to be provided with an auxiliary antenna array; and computing, for each BSU in the identified set, parameters to be used by modules of the BSU that are local to the BSU and configured to perform interference detection, interference estimation, and/or interference cancellation; the computed parameters are used in a reconfiguration procedure for the modules of the BSU. Other embodiments are disclosed.

Abstract: The concepts and technologies disclosed herein are directed detecting and mitigating drive-by home WI-FI hijack attacks. According to one aspect, a war driving activity correlation system can obtain a report from a home gateway system. The report can identify a suspicious device attempting to connect to a WI-FI network provided, at least in part, by the home gateway system. The war driving activity correlation system can determine, based upon the report, a route of an attacker who uses the suspicious device. The war driving activity correlation system can send instructions to the home gateway system. The instructions can include the route and can specify one or more mitigation actions to be performed by the home gateway system, such as blacklisting a media access control address associated with the suspicious device. The mitigation action(s) can be based upon one or more policies.

Abstract: Aspects of the subject disclosure may include, for example, assessing a priority of a particular user at a service area in a mobile communications network for a strong radio signal from a cell site of the mobile communications network, and providing the strong radio signal to a mobile device of the particular user according to the priority of the particular user, wherein the providing the strong radio signal comprises focusing an antenna beam of a beamforming antenna at the service area and assigning the antenna beam to the particular user for downlink communication between the cell site of the mobile communications network and the particular user. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, identifying a threshold value of a streaming-media key performance indicator (KPI) based on a predetermined target portion of end-user devices that provide an acceptable performance. Performance records are obtained for a content delivery network (CDN) adapted to cache and serve media content requested by the end-user devices. Predicted values of the streaming-media KPI are generated according to the performance records of the CDN and compared to the threshold value of the streaming-media KPI to obtain a comparison. An anomaly is detected according to the comparison, to indicate that a predetermined number of the predicted values of the streaming-media KPI fail to satisfy the threshold value. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, dividing a feature range of a feature into a plurality of subsets that span the feature range, calculating an average target variable value for each subset of the plurality of subsets, resulting in a plurality of average target variable values, and estimating a measure of feature significance with respect to a target variable by determining a difference between a maximum average target variable value and a minimum average target variable value in the plurality of average target variable values. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a list of a plurality of communication channels, each communication channel being associated with at least one respective feature of a plurality of features; correlating each communication channel in the list with at least one respective user response of a plurality of user responses; receiving an identification of a new communication channel that does not exist in the list, the new communication channel being associated with at least one feature of the plurality of features; determining, based upon the at least one feature that is associated with the new communication channel, with which one or more of the plurality of communication channels in the list the new communication channel is similar, resulting in a determination; and assigning, based upon the determination, at least one of the plurality of user responses to the new communication channel. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing, by a processing system, a customer message to determine a customer care issue and a customer sentiment, and generating a response to engage with the customer based on the customer sentiment; the response includes the information to address the customer care issue. The system also delivers the response to the equipment of the customer; monitors for a customer reaction to the delivered response to determine a change in the customer sentiment; and generates an additional response to further engage with the customer based on the change in the customer sentiment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device in which a processing system defines service attributes for a function of an internet multimedia subsystem (IMS) core; the function is dedicated for providing a service to a user endpoint (UE) device. The processing system facilitates constructing a resource profile of the IMS core that includes the function; registering the function at a network repository function (NRF) associated with the IMS core; discovering the function from the NRF; obtaining a service requirement of the UE; and matching the service requirement with the service attributes in accordance with matching criteria. Other embodiments are disclosed.

Abstract: This disclosure describes a solution to identify that a meaningful event has occurred in a person's life. Once identified, data and content related to the event can be collected and stored in a database. This data and content can be used to offer future virtual reality (VR) experiences and content. A person can be equipped with a smart device such as a smartphone, smart watch, or other wearable that can further be equipped with a tracking app that collects data from these devices and from other sources, for instance, over the internet. The tracking app can continuously collect such data and use various algorithms to make a determination as to whether the person is experiencing a meaningful life event.

Abstract: Aspects of the subject disclosure may include, for example, a device detecting a disruption in a backhaul network and connecting to an aerial device to establish an alternate backhaul connection. The device may incorporate all or a portion of a terrestrial base station and may tilt one or more antenna beams skyward to search for the aerial device. The device may then relay communications from user equipment to the aerial device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature.

Abstract: Aspects of the subject disclosure may include, for example, receiving network requirements for a new telecommunications network to be developed by a network operator, developing a workflow for design and development of the new telecommunications network based on stored knowledge base data about past telecommunications network projects of the network operator, the stored knowledge base data including information about prior milestone processes of the past telecommunications network projects of the network operator, modifying the information about prior milestone processes based on the network requirements for the new telecommunications network, forming a plurality of milestone processes for the new telecommunications network, and performing respective milestone processes of the plurality of milestone processes to design, develop and test the new telecommunications network, including performing a network ready milestone process of final testing of network functions and a certification that the new telecommunica

Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a smart contract for tracking a position of a mobile device from a quantum blockchain; issuing a token uniquely identifying location data for the position of the mobile device; receiving location data including the token from the mobile device, wherein the position of the mobile device is determined by displacement from an initial position using a quantum accelerometer; verifying the location data using the token; and storing the location data in the quantum blockchain. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, determining a self-interference channel response of a transceiver of a mobile base station having a transmitter and a receiver. The self-interference channel response spans multiple sub-bands of a predetermined mobile cellular frequency channel. A first sub-band of the multiple sub-bands is identified according to the self-interference channel response and, an estimate is determined, at the receiver, of a first coupled transmit power level of the transmitter when operating within the first sub-band. A receiver sensitivity is adjusted according to the first coupled transmit power level to obtain an adjustment adapted to increase receiver sensitivity, while restricting operation of the receiver to a substantially linear region. The adjustment allows a transmission within the first sub-band and a reception within a second sub-band of the plurality of sub-bands to occur simultaneously at the mobile base station. Other embodiments are disclosed.

Abstract: Improving configuration of routing areas within an area of interest can include obtaining input data including a list of common language location identifiers within a defined area of interest and identification of a number of routing areas to be created within the area of interest; creating a bounding rectangle around the area of interest represented by the list of common language location identifiers; generating, within the bounding rectangle, a uniformly distributed sequence point; determining, from within the list of common language location identifiers, if the uniformly distributed sequence point is located in a particular common language location identifier of the list of common language location identifiers; if so, adding, to a list of kernel common language location identifiers the uniformly distributed sequence point; and if not, discarding the uniformly distributed sequence point.

Abstract: Aspects of the subject disclosure may include, for example, receiving network performance metrics for a plurality of paths through a network, each path extending from a customer equipment to an application server for data communication by the customer equipment with an application running on the application server, selecting a selected path among the plurality of paths, wherein the selecting is based on the network performance metrics, and communicating between the customer equipment and the application server according to the selected path. Border gateway protocol (BGP) community values (BGP CV) add BGP performance metrics community values (BPM CV) to convey network performance metrics to provider edge routers and customer premises equipment for network selection. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining sensor data that includes an image of a projection environment, determining physical objects portrayed within the image, and characterizing physical properties of the physical objects according to the sensor data to obtain a characterization. A first target object of the physical objects having a first projection surface is identified according to the characterization, and a source image is modified according to the first projection surface. The modified image is provided to a projector adapted to project the modified image onto the first projection surface. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first data, determining, based on the obtaining, a likelihood that the first data will be selected for use, and storing, based on the determining indicating that the likelihood is less than a first threshold, the first data in a storage device, wherein the storage device stores a plurality of data, and wherein the plurality of data is accessed from the storage device in an amount that is less than a second threshold, the second threshold being less than 5%. Other embodiments are disclosed.

Abstract: A method includes creating one or more first policy shims to be applied to a ML/AI module, applying the one or more first policy shims to an input or an output of the ML/AI module and executing the ML/AI module on a data set in response to the applying step. The one or more first policy shims includes an input policy shim and an output policy shim and the applying step includes applying the input policy shim to the data set prior to the executing step and applying the output policy shim to an output of the executing step.