Abstract: A method and apparatus of identifying different factors as part of performance diagnostics is disclosed. The disclosed method and apparatus provides downstream application towards policy configuration and network performance diagnostics.

Abstract: Automatic methods are disclosed to identify time series segments by incorporating time series specific change definition parameters. Segments are defined as stretches in the time series with similar characteristics—with regard to the series level, growth, variance. Change definition parameters refer to a combination of acceptable ranges in these characteristics. These change definition parameters can be user-defined (i.e., API, UI), or learned from deployments and can be dynamically applied.

Abstract: A transfer management system for efficiently operating an enterprise wireless communication network (EN) at a campus location enables the EN to control congestion, selectively and smoothly admit UEs, and manage UE exits from the EN. An MNO Network (MN) footprint learning system learns the different MN footprints on the campus, relative to the BS/APs deployed by the individual enterprise, which defines a footprint of wireless coverage for each MNO that has wireless coverage. The MN footprint provides useful information that enables successfully transitioning a UE between an EN and an MNO, which provides the EN with the ability to utilize other networks to offload one or more UEs to manage congestion, delay or deny admission of UEs, and proactively exit UEs to manage congestion or for other reasons.

Abstract: Method and apparatus for scalable machine learning (ML)-based frameworks for resource planning and recommendations for Enterprise Networks are disclosed. In some embodiments, a method for determining network health assessment and providing network planning and recommendations in wireless enterprise networks is provided. The method quantifies resource health of a plurality of network elements operating within the enterprise network by calculating a plurality of distance metrics between acceptable health parameters and observed network resource utilization values associated and corresponding to each selected network element. The method ranks each of the network elements based upon the distance metrics calculated for each network element. Factors that negatively impact the resource health of the network elements are ranked in accordance to how severely they impact the performance of the network elements.

Abstract: A method and apparatus for managing wireless Enterprise Networks (EN) for greater efficiency by developing inactivity timers for packet streams on bearers, monitoring the packet streams of UEs on the bearers, and if inactivity is found determining whether or not to release or modify a bearer, or maintain the current status of the UE considering factors such as congestion, expected lull time, reconstruction cost, and UE type and location. Accordingly, UEs can be more efficiently allocated the EN's available resources. To learn the timers, packet streams are monitored over a period of time, the packet streams are sorted by service type and bearer (and optionally time), and an inter-burst packet arrival time is determined. Timers are developed that provide inactivity time limits and an expected lull time that predicts the behavior of the packet streams based on service type and bearer, and optionally time.

Abstract: A method and apparatus for monitoring network performance in near real-time by making measurements on packets received at an intermediate node in wireless communication network. The solution is useful for monitoring wireless network performance of any packetized wireless communication network that connects a client and application server, and particularly for any application running over TCP/IP protocol. A method is disclosed for measuring packet loss rate of a packet-based communication session between a Network Source (NS) and a User Equipment (UE) device at an intermediate node, in the downlink direction and the uplink direction. The measured loss is indicative of the loss in the portion of wireless network between the intermediate node and the UE. The measured packet loss rate is compared with service guarantees for the wireless network, and if the service guarantees are not being met, then resolution mechanisms can be implemented.

Abstract: A method and apparatus for managing network loading and adjusting admission, and/or congestion and service types based on real-time analytics in an enterprise wireless communication network that includes Base Stations/Access Points (BS/APs) in communication with a number of User Equipment devices (UEs) within the coverage area at a campus location. The system dynamically learns the parameterizations for the control system, and adapts the parameters as the network usage evolves, which is useful for an efficient self-managed network. Such a system can provide a greater QoS across users and other efficiencies. The system simplifies deployment at the enterprise's campus locations because load heatmaps and service patterns are learned based on the actual campus locations.

Abstract: A method and apparatus for monitoring network performance in near real-time by making measurements on packets received at an intermediate node in a wireless communication network. The solution is useful for any packetized communication network that connects a client and application server, and particularly for any application running over TCP/IP protocol. A method is disclosed for measuring end-to-end qualities of a packet-based communication session between a data sender (DS) and a data receiver (DR) at an intermediate node. The measured end-to-end communication qualities may include latency and packet delay variation.

Abstract: A transfer management system for efficiently operating an enterprise wireless communication network (EN) at a campus location enables the EN to control congestion, selectively and smoothly admit UEs, and manage UE exits from the EN. An MNO Network (MN) footprint learning system learns the different MN footprints on the campus, relative to the BS/APs deployed by the individual enterprise, which defines a footprint of wireless coverage for each MNO that has wireless coverage. The MN footprint provides useful information that enables successfully transitioning a UE between an EN and an MNO, which provides the EN with the ability to utilize other networks to offload one or more UEs to manage congestion, delay or deny admission of UEs, and proactively exit UEs to manage congestion or for other reasons.

Abstract: A method and apparatus for managing wireless Enterprise Networks (EN) for greater efficiency by developing inactivity timers for packet streams on bearers, monitoring the packet streams of UEs on the bearers, and if inactivity is found determining whether or not to release or modify a bearer, or maintain the current status of the UE considering factors such as congestion, expected lull time, reconstruction cost, and UE type and location. Accordingly, UEs can be more efficiently allocated the EN's available resources. To learn the timers, packet streams are monitored over a period of time, the packet streams are sorted by service type and bearer (and optionally time), and an inter-burst packet arrival time is determined. Timers are developed that provide inactivity time limits and an expected lull time that predicts the behavior of the packet streams based on service type and bearer, and optionally time.

Abstract: A method and apparatus for managing network loading and adjusting admission, and/or congestion and service types based on real-time analytics in an enterprise wireless communication network that includes Base Stations/Access Points (BS/APs) in communication with a number of User Equipment devices (UEs) within the coverage area at a campus location. The system dynamically learns the parameterizations for the control system, and adapts the parameters as the network usage evolves, which is useful for an efficient self-managed network. Such a system can provide a greater QoS across users and other efficiencies. The system simplifies deployment at the enterprise's campus locations because load heatmaps and service patterns are learned based on the actual campus locations.

Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.

Abstract: Methods and apparatus for autoconfiguring microslices in enterprise wireless communication networks using a microslice knowledgebase in a remotely located orchestration platform. Microslices are independent end-to-end logical networks operating on a shared physical infrastructure, which ensure certain Quality of Service (QoS) and Service Level Objective (SLO) requirements are met for different service types or applications. Any of the enterprise networks may be a Citizen's Broadband Radio Service (CBRS) system. A microslice knowledgebase unit in the orchestration platform configures microslices for the enterprise networks based upon communication requirements of applications, devices, and groups of devices such as service type, bandwidth requirements, using machine learning and artificial intelligence to learn communication requirements of each enterprise deployment.

Abstract: A method and apparatus for monitoring network performance in near real-time by making measurements on packets received at an intermediate node in wireless communication network. The solution is useful for monitoring wireless network performance of any packetized wireless communication network that connects a client and application server, and particularly for any application running over TCP/IP protocol. A method is disclosed for measuring packet loss rate of a packet-based communication session between a Network Source (NS) and a User Equipment (UE) device at an intermediate node, in the downlink direction and the uplink direction. The measured loss is indicative of the loss in the portion of wireless network between the intermediate node and the UE. The measured packet loss rate is compared with service guarantees for the wireless network, and if the service guarantees are not being met, then resolution mechanisms can be implemented.

Abstract: A method and apparatus for monitoring network performance in near real-time by making measurements on packets received at an intermediate node in a wireless communication network. The solution is useful for any packetized communication network that connects a client and application server, and particularly for any application running over TCP/IP protocol. A method is disclosed for measuring end-to-end qualities of a packet-based communication session between a data sender (DS) and a data receiver (DR) at an intermediate node. The measured end-to-end communication qualities may include latency and packet delay variation.

Abstract: A method in one embodiment includes intercepting a message in an on-board unit (OBU) of a vehicular network environment between a source and a receiver in the vehicular network environment, verifying the message is sent from the source, verifying the message is not altered, evaluating a set of source flow control policies associated with the source, and blocking the message if the set of source flow control policies indicate the message is not permitted. In specific embodiments, the message is not permitted if a level of access assigned to the source in the set of source flow control policies does not match a level of access tagged on the message. In further embodiments, the method includes evaluating a set of receiver flow control policies associated with the receiver, and blocking the message if the set of receiver flow control policies indicates the message is not permitted.

Abstract: A server uses an LSTM neural network to predict a bandwidth value for a computer network element using past traffic data. The server receives a time series of bandwidth utilization of the computer network element. The time series includes bandwidth values associated with a respective time values. The LSTM neural network is trained with a training set selected from at least a portion of the time series. The server generates a predicted bandwidth value associated with a future time value based on the LSTM neural network. The provisioned bandwidth for the computer network element is adjusted based on the predicted bandwidth value.

Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.

Abstract: In one implementation, a method includes obtaining time series data. The time serious data includes a plurality of network utilization measurements. The plurality of network utilization measurements is indicative of a plurality of utilizations of one or more resources of a network resource at a plurality of times. The method also includes determining whether the time series data comprises a plurality of segments. Each segment of the plurality of segments is associated with a separate regression model and each segment includes a portion of the time series data. The method further includes identifying a current segment from the time series data when the time series data comprises the plurality of segments. The method further includes determining an estimated network utilization based on a current regression model associated with the current segment.

Abstract: A system for facilitating travel includes a handheld device for weighing luggage that is electronically linked with an application server via a smart device. The device includes electronics disposed within a housing configured to conform to a luggage handle. Lifting the luggage with the device disposed against its handle causes the luggage weight to impart a force onto the housing. This force is sensed by the electronics and converted into a weight measurement that is displayed on the smart device and sent to the application server. Weight measurements stored on the application server can be integrated with airline flight information, such as baggage restrictions, to provide certain advantages. For instance, weight measurements can be retrieved by a traveler to ensure baggage compliance. Additionally, historical luggage data can reviewed by an airline on a flight-based level to prepare for atypical cargo loads or on a traveler-basis to incentivize light baggage travel.