Abstract:
Communication systems may benefit from more accurate information regarding the passage of data through a network. For example, certain wireless communication systems may benefit from throughput guidance based on user plane insight and optional radio channel information. A method can include monitoring the bandwidth available on at least one of a per data bearer, per application or per transmission control protocol flow basis. The method can also include providing throughput guidance to an entity configured to attempt at least one of transmission control protocol or content level optimization. The throughput guidance can be configured to assist the entity in attempting the at least one of the transmission control protocol or content level optimization.
Abstract:
Communication systems may benefit from more accurate information regarding the passage of data through a network. For example, certain wireless communication systems may benefit from throughput guidance based on user plane insight and optional radio channel information. A method can include monitoring the bandwidth available on at least one of a per data bearer, per application or per transmission control protocol flow basis. The method can also include providing throughput guidance to an entity configured to attempt at least one of transmission control protocol or content level optimization. The throughput guidance can be configured to assist the entity in attempting the at least one of the transmission control protocol or content level optimization.
Abstract:
Systems, methods, apparatuses, and computer program products for a connection identification scheme are provided. One method includes determining, for example by an information receiver, a unique connection identity for an off-band connection with an information provider. The unique connection identity may be based on information related to a user plane connection with the information provider. The method may further include storing the unique connection identity, receiving radio access network information and synchronization information from the information provider, and synchronizing at least part of the radio access information with at least part of information sent in the user plane connection, using the synchronization information.
Abstract:
Various communication systems may benefit from buffer management. For example, systems employing a packet data convergence protocol may be enhanced with network-side buffer management that is configured to manipulate transmission control protocol packet senders. A method can include receiving a plurality of packets at a buffer of a buffer manager. The method can also include manipulating, by the buffer manager, pacing of transmission control protocol senders of the packets. The method can further optionally include fair queuing the packets and/or performing flow incubation on the packets.
Abstract:
A method is provided comprising monitoring, in a network node, a user plane traffic flow transmitted in a network, to perform measurements on selected data packets. Based on the monitoring, the network node collects in a correlated way, one or more of user measurement data, application measurement data, quality of experience measurement data, network side quality of service measurement data and a set of key performance indicators. Based on the collecting, the network node generates real-time correlated insight to customer experience.
Abstract:
A method comprises analysing (110), in a network node, data flows related to a terminal device of a communication system, in order to detect data flows having at least one predefined characteristic. The network node selects (111) the data flows having the at least one predefined characteristic, as significant data flows on which customer experience CE measurements are to be performed.
Abstract:
Various networks may benefit from suitable management techniques and systems. For example long term evolution networks and other wireless communication networks may benefit from a quality of experience aware transport self-organizing network framework. A method can include monitoring transport connectivity with respect to at least one base station (e.g. eNB) over a mobile backhaul. The method can also include detecting at least one degradation or anomaly in the transport connectivity of the at least one base station. The method can further include taking an appropriate network management action in response to the detected degradation or anomaly.
Abstract:
A method for provisioning a self-learning closed loop service is provided. The method includes receiving a representation of the self-learning closed loop service, the representation including a specification of one or more automation subservices, identifying, for each automation subservice of the representation, one or more utility measurement subservices that are compatible with the respective automation subservice and deploying an instance of the self-learning closed loop service based on the identification, wherein the instance includes a pairing of each automation subservice of the self-learning closed loop service with one or more compatible utility measurement subservices.
Abstract:
A network node, such as a quality of experience QoE orchestrator, start monitors (400) data traffic related to a terminal device, in order to detect (402) a data flow related to an application session. The network node derives (403) resource requirement information defining a required QoE level to be provided to the terminal device regarding the application session. The network node performs (404) QoE measurements to obtain information on QoE experienced by the terminal device regarding the application session. Based on the QoE measurements, the network node executes one or more actions in order to enforce (405) the quality of experience QoE of the application session to meet the resource requirement.
Abstract:
Methods, apparatuses, and computer program products capable of providing insight and understanding into the user experience of web based applications are provided. One method includes collecting and measuring application level key performance indicators, detecting user actions by monitoring network side user traffic in a network, correlating the user actions with the application level key performance indicators in order to evaluate and quantify a quality of experience (Qo E) of the user, and correlating poor Qo E with network side key performance indicators in order to determine an underlying root cause of the poor Qo E.