Abstract: The method includes obtaining a first set of support and confidence parameters, identifying a first set of VNFs of a plurality of VNFs of the communication network based on the first set of support and confidence parameters, and determining association information by mining rules within VNFs of the first set of VNFs using the support and confidence parameters. A second set of VNFs, of the plurality of VNFs, are then selected based on the association information, and an operation of the communication network is controlled using the first set of VNFs and the second set of VNFs.

Abstract: Various embodiments relate to a system and method for performing programmable native analytics on a 5G mobile network, the system comprising a plurality of programmable native analytics agents configured to produce data digests by reducing, aggregating and binning source data, and a central analytics engine configured to collect the data digests from each of the plurality of programmable native analytics agents wherein the central analytics engine includes a plurality of enginelets which are configured to perform analytics on the data digests received by the central analytics engine.

Abstract: Embodiments of the claimed subject matter provide a method and apparatus for scheduling adaptive bit rate streams. Some embodiments of the method include accessing, at user equipment, a first bit rate selected from a plurality of bit rates used to encode a portion of an adaptive multimedia stream, a size of the portion of the adaptive multimedia stream, and a play out duration of the portion of the adaptive multimedia stream. Some embodiments of the method also include providing, from the user equipment, indications of the first bit rate, the size, and the play out duration.

Abstract: Various embodiments relate to a system and method for performing programmable native analytics on a 5G mobile network, the system comprising a plurality of programmable native analytics agents configured to produce data digests by reducing, aggregating and binning source data, and a central analytics engine configured to collect the data digests from each of the plurality of programmable native analytics agents wherein the central analytics engine includes a plurality of enginelets which are configured to perform analytics on the data digests received by the central analytics engine.

Abstract: In one example embodiment, a method of adaptive video streaming includes receiving, by a server, a request for a video segment from an end user device and determining, by the server, a plurality of variables, the plurality of variables including at least one of a download time of a previously requested video segment by the end user device, a fullness of a buffer at the end user device and a size of the buffer. The method further includes determining, by the server, a rate of the requested video segment based on one or more of the determined plurality of variables and sending, by the server, the requested video segment at the determined rate to the end user device.

Abstract: The cooperative controlling of an operation of an application that is used by a user equipment is implemented in a wireless network by obtaining scheduled shared resource rate information and channel condition information for bearers sharing network resources. User equipment policies for the user equipment associated with the bearers can be performed based on the scheduled shared resource rate information, the channel condition information, and available video rate information in order to invoke throughput restrictions for the user equipment. The user equipment policies can be used by application functions to cooperatively control the operation of applications among a number of user equipments.

Abstract: The controlling of an operation of an application is implemented in a communication network by obtaining network identification and cell load information for a bearer in order to compute an actual transport block size per physical resource block (ATpP) slope for the bearer. A user equipment (UE) location corresponding to the bearer is associated with geographic pixel information in order to calculate an interference vector. The interference vector is used to compute a coverage map tuple that is used to control the operation of the application. Throughput can also be predicted using the coverage map tuple.

Abstract: An application type of a bearer is classified by computing statistics vectors of bearer metrics and locating points on a label map corresponding to the statistics vectors to obtain application type information. The application type information is exported to a network node to control an operation of application. The bearer metrics include bearer identifier information and bearer condition information, where the bearer condition information includes channel condition information and cell congestion level information. The bearers are paired, such that uplink and downlink bearers for a same application are identified, so that paired bearers are classified together. The label map is produced using previously classified bearer information to calculate cluster centroids and cluster regions that define portions of the map for particular application types.

Abstract: In a method for controlling congestion within a cell of a wireless network providing mobile HTTP adaptive streaming (HAS), a mobile HAS client in the cell delays a request for a next HAS segment of a HAS media stream for a delay time interval in response to a notification of congestion within the cell. The mobile HAS client calculates a reduced bitrate for the next HAS segment, and requests the next HAS segment at the reduced bitrate after expiration of the delay time interval. The reduced bitrate is reduced relative to a bitrate for a previous HAS segment of the HAS media stream.

Abstract: Fast congestion detection is implemented in a wireless radio access network (RAN) to mitigate congestion by classifying bearers into bearer types using bearer metrics and monitoring bearers for type specific anomalies to obtain anomaly data. Congestion is detected based on the anomaly data to obtain congestion information that is exported to a network node to mitigate network congestion. Bearer metrics include radio link protocol (RLC) buffer size information, physical resource block (PRB) utilization information, and transmission burst interval information. The transmission burst interval information includes information on time intervals between successive time periods when a RLC buffer is empty. The bearers are classified into Type I and Type II bearers. Type I bearers are bearers displaying bursty data transfer behavior, and Type II bearers are bearers displaying a continuous stream of data transfer behavior.

Abstract: The cooperative controlling of an operation of an application that is used by a user equipment is implemented in a wireless network by obtaining scheduled shared resource rate information and channel condition information for bearers sharing network resources. User equipment policies for the user equipment associated with the bearers can be performed based on the scheduled shared resource rate information, the channel condition information, and available video rate information in order to invoke throughput restrictions for the user equipment. The user equipment policies can be used by application functions to cooperatively control the operation of applications among a number of user equipments.

Abstract: The controlling of an operation of an application is implemented in a communication network by obtaining network identification and cell load information for a bearer in order to compute an actual transport block size per physical resource block (ATpP) slope for the bearer. A user equipment (UE) location corresponding to the bearer is associated with geographic pixel information in order to calculate an interference vector. The interference vector is used to compute a coverage map tuple that is used to control the operation of the application. Throughput can also be predicted using the coverage map tuple.

Abstract: A smoothed transport block size is forecasted by predicting future value information based on historical time series data obtained at an e-Node B. The historical time series data includes historical transport block size information and historical modulation and coding scheme information. A mapping function is used to correlate the future value information with historical transport block size information. Once the mapping function is determined, the mapping function forecasts the average transport block sizes by inputting the future value information into the mapping function. The smoothed transport block sizes and the future value information is then transmitted to an application server and/or an application client at a user equipment to control an operation of an application.

Abstract: An application type of a bearer is classified by computing statistics vectors of bearer metrics and locating points on a label map corresponding to the statistics vectors to obtain application type information. The application type information is exported to a network node to control an operation of application. The bearer metrics include bearer identifier information and bearer condition information, where the bearer condition information includes channel condition information and cell congestion level information. The bearers are paired, such that uplink and downlink bearers for a same application are identified, so that paired bearers are classified together. The label map is produced using previously classified bearer information to calculate cluster centroids and cluster regions that define portions of the map for particular application types.

Abstract: Fast congestion detection is implemented in a wireless radio access network (RAN) to mitigate congestion by classifying bearers into bearer types using bearer metrics and monitoring bearers for type specific anomalies to obtain anomaly data. Congestion is detected based on the anomaly data to obtain congestion information that is exported to a network node to mitigate network congestion. Bearer metrics include radio link protocol (RLC) buffer size information, physical resource block (PRB) utilization information, and transmission burst interval information. The transmission burst interval information includes information on time intervals between successive time periods when a RLC buffer is empty. The bearers are classified into Type I and Type II bearers. Type I bearers are bearers displaying bursty data transfer behavior, and Type II bearers are bearers displaying a continuous stream of data transfer behavior.

Abstract: A smoothed transport block size is forecasted by predicting future value information based on historical time series data obtained at an e-Node B. The historical time series data includes historical transport block size information and historical modulation and coding scheme information. A mapping function is used to correlate the future value information with historical transport block size information. Once the mapping function is determined, the mapping function forecasts the average transport block sizes by inputting the future value information into the mapping function. The smoothed transport block sizes and the future value information is then transmitted to an application server and/or an application client at a user equipment to control an operation of an application.

Abstract: In one example embodiment, a method for enabling a network based rate determination for adaptive video streaming includes receiving, by a server, a request for a video segment from an end user device and determining, by the server, a plurality of variables, the plurality of variables including at least one of a download time of a previously requested video segment by the end user device, a fullness of a buffer at the end user device and a size of the buffer. The method further includes determining, by the server, a rate of the requested video segment based on one or more of the determined plurality of variables and sending, by the server, the requested video segment at the determined rate to the end user device.

Abstract: In a method for controlling congestion within a cell of a wireless network providing mobile HTTP adaptive streaming (HAS), a mobile HAS client in the cell delays a request for a next HAS segment of a HAS media stream for a delay time interval in response to a notification of congestion within the cell. The mobile HAS client calculates a reduced bitrate for the next HAS segment, and requests the next HAS segment at the reduced bitrate after expiration of the delay time interval. The reduced bitrate is reduced relative to a bitrate for a previous HAS segment of the HAS media stream.

Abstract: A system, method and apparatus to dynamically tune parameters impacting bitrate selection to control thereby client bandwidth usage are described. Controlling client bandwidth usage can be performed by instantiating an adaptive rate determining algorithm (A-RDA) function associated with a mobile client, where this A-RDA function being responsive to a rate control profile and client channel information (e.g., channel condition information) to select for said client available content segments having an appropriate bit-rate.

Abstract: Embodiments of the claimed subject matter provide a method and apparatus for scheduling adaptive bit rate streams. Some embodiments of the method include accessing, at user equipment, a first bit rate selected from a plurality of bit rates used to encode a portion of an adaptive multimedia stream, a size of the portion of the adaptive multimedia stream, and a play out duration of the portion of the adaptive multimedia stream. Some embodiments of the method also include providing, from the user equipment, indications of the first bit rate, the size, and the play out duration.