Telefonaktiebolaget Lm Ericsson (Publ)

Gábor Magyar

László Kovács

Attila Báder

András Veres

András Rácz

Miguel Angel Puente Pestaña

Tamas Borsos

Peter Vaderna

László Hévizi

Andras Valkó

Áron Szentesi

Juan-Mario Martin-Sanchez

Carlota Villasante Marcos

Zoltán Király

Andras Kovari

Robert Vasas

Botond Varga

Ádám Zlatniczki

A technique of triggering transition control between different RRC states of wireless terminal devices is described. A method aspect of this technique comprises receiving a request for an RRC state transition control for a terminal device, wherein the request includes at least one identifier associated with the terminal device. The method further comprises obtaining a temporal inactivity parameter associated with the at least one identifier, wherein the temporal inactivity parameter depends on an estimated period of time between two traffic activities of the terminal device. Further still, the method comprises triggering, based on the temporal inactivity parameter or a parameter derived on the basis of the temporal inactivity parameter, the RRC state transition control for the terminal device.

Transition control between radio resource control states

The dynamically generation and evaluation of User Activity Records (UARs) is presented herein to determine which UARs to forward for analytics processing, and how much information to include with the forwarded UARs. To that end, UARs are identified as normal, e.g., those UARs satisfy an evaluation condition, e.g., a threshold condition, and or as abnormal, e.g., those UARs that do not satisfy an evaluation condition, e.g., the threshold condition. For those UARS identified as normal, only a small subset of the normal UARs are forwarded for further analysis to reduce the data volume associated with these normal UARs. For those UARs identified as abnormal, enrichment data is appended to the generated UAR to generate a detailed UAR, all which is forwarded for further analysis.

Adaptive event processing for cost-efficient CEM

There is provided a method for estimating play out resolution of a video delivered to a client device by an encrypted video stream communicated over a network. The method selects a current chunk of the encrypted video stream comprising data packets expected to carry video data of the same level of playout resolution and determines values for a predetermined set of features indicative of conditions in the network. By accessing a pregenerated model, a corresponding set of state transition probabilities is obtained, defining a Markov chain whose states comprise the different levels of resolution. The determined state transition probabilities are then used to calculate, from a first probability distribution arising from a first or previous step in the Markov chain, a second probability distribution for the plurality of states of the Markov chain expected to result from the indicated network conditions.

Estimating video resolution delivered by an encrypted video stream

Selecting a transport configuration for a data network adapted to transport data traffic belonging to different traffic types. A selecting device determines an actual traffic mix of traffic types and corresponding traffic loads transported on the data network. The device determines, based on the actual traffic mix, multiple future traffic mixes of traffic types and corresponding traffic loads, wherein the future traffic mixes are associated with probability values and classifiable into different future traffic mix classes, each future traffic mix class being associated with a predefined transport configuration capable of handling any future traffic mix falling in that future traffic mix class. The device is configured to aggregate the probability values associated with those future traffic mixes that belong to the same future traffic mix class and to select the transport configuration associated with the highest probability value across the aggregated and non-aggregated probability values.

Technique for selecting a transport configuration for a data network

Techniques for real-time encrypted over-the-top (OTT) data quality analysis are presented. For instance, the present disclosure includes an example method performed by a device in a recurrent neural network (RNN) implemented in a data communication system. The method includes periodically obtaining information corresponding to one or more OTT data sessions in the data communication system, the information being obtained from one or more of a packet probe, a test terminal, and a network node. The method also includes generating at least one quality metric associated with the one or more OTT data sessions based on the periodically obtained information. Related devices, processor and memory arrangements, methods, and computer programs are also presented.

Method and system for real-time encrypted video quality analysis

A management node () obtains indications of network events occurring at a plurality of nodes (--------) of the communication network. Further, the management node () performs a correlation of times of the indicated network events. On the basis of the correlation, the management node () identifies clusters of nodes (--------) with correlated network events. On the basis of the clusters, the management node () determines a topology model of the communication network.

Network topology estimation based on event correlation

The present disclosure relates to a technique for configuring and collecting network performance measurements in a mobile communications network, the mobile communications network comprising at least one network node and at least one mobile terminalconnected to the at least one network node, implementing a Minimization of Drive Tests (MDT) trace measurement configuration and collection. A method embodiment comprises the steps of performing, in the at least one mobile terminal, a service specific measurement based on a service specific measurement configuration, wherein the service specific measurement includes determining one or more quality metrics related to at least one of one or more services, one or more service types, one or more bearers, one or more applications and one or more application types provided in the mobile communications network, to obtain a result of the performed service specific measurement and generating, in the at least one mobile terminal, active test traffic based on an active measurement configuration to perform an active measurement, wherein the active measurement uses the generated test traffic to obtain a result of the performed active measurement, the result of the performed active measurement indicating the performance of the test traffic in the mobile communications network.

Service centric measurements for minimizing drive tests

A network management system () and a method are described herein that are capable of identifying and accessing Quality of Service (QoS) issues within a communications network (). In one application, the network management system () includes a service performance unit (), a service performance database (), a factor scoring system (), a factor score database () and a factor strength analysis module ().

Network management system and method for identifying and accessing quality of service issues within a communications network

A method and apparatus for controlling data traffic in a communications network. The server determines that network conditions are suitable for sending delay tolerant data traffic, and as a result of the determination, it transmits a grant message to at least one client device, the grant message informing the client device that it is permitted to send or receive delay tolerant data traffic.

Data traffic control in a communication network

A subscriber portfolio model is created by forming mutually exclusive and completely exhaustive groups of subscribers in a way that maximizes the intra-group similarity and inter-group dissimilarity of the value of a target attribute among subscribers in the groups. The subscriber groups thus generated are self-descriptive, as the groups are defined by the attributes used to form them. A segmenting algorithm groups subscribers along permutations of attributes. Relevant data about subscribers is collected from various sources, correlated, and subscriber identities removed to ensure privacy. After analyzing the aggregated data, a subscriber portfolio model is built. The subscriber portfolio model is created in an iterative process; in each step, a selected subscriber group is subdivided into smaller subscriber groups along different value ranges of a statistically decisive attribute that is selected and evaluated based on specific methods. The subdivision is performed by computing filtering conditions based on an in-depth statistical analysis.

Subscriber portfolio management system

The present invention provides a method for optimization of the configuration of a hierarchical network having a first hierarchy level (LEVEL(j&#x2212;1)), a second hierarchy level (LEVEL(j)) next below the first level, and a third hierarchy level (LEVEL(j+1)) next below the second level, each level comprising nodes (RNC's, HUB's, RBS's) each of which, in level other than the lowest, receives traffic from a cluster of nodes (HUB's, RBS's) of the level next below. The method comprises first determining an initial arrangement of nods (RNC's, HUB's, RBS's) in each of the levels other than the highest, allocating respective initial clusters of nodes (HUB's, RBS's) of that level to the nodes (RNC's, HUB's) of the next higher level, and performing optimizing iterations until they result in no changes in number, disposition and allocation of nodes (RNC's, HUB's, RBS's) over predetermined number of iterations.

Growing community of inventors

Kecskemét, Hungary

Gábor Magyar