Telefonaktiebolaget Lm Ericsson (publ)

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Vincent Huang

Oumer Teyeb

Mona Matti

Rickard Cöster

Steven Corroy

Jing Fu

Ying Sun

Yi Cheng

Tony Larsson

Julien Forgeat

Mattias Johansson

Lotta Voigt

Subramanian Shivashankar

Richard Carlsson

Eric Andersson

Martha Vlachou-Konchylaki

Qingyan Liu

Asa Bertze

Mats Näslund

Jan Christoffersson

Daniele Ceccarelli

Mikael Wittberg

Michael Huber

Ioannis Fikouras

Joerg Niemoeller

Shunliang Zhang

Xuejun Cai

Simon Moritz

Francesco Militano

Åsa Bertze

Hjalmar Olsson

Martin Svensson

András Méhes

Jonas Bjork

Sky Zhao

Vikas Verma

Tobias Ley

Mingxue Wang

Roberta Daidone

Sahar Tahvili

Erik Hallström

Marie Gedda

Alok Sareen

Xiaoqiang Chen

Qing Wan

Xianwei Shen

Alzahraa Salman

Cristina Landin

Siyan Zhao

Larsson Tony

A method of testing a network node in a communication system according to some embodiments includes obtaining a test case specification that describes a test scenario associated with the network node and extracting textual features from the test case specification. A feature vector is generated that includes the extracted textual features, and the feature vector is mapped to a plurality of available test scripts. The method selects one or more of the plurality of available test scripts for execution in response to the mapping of the feature vector. For one or more of the selected test scripts the method generates a confidence score that measures a confidence of an association of the test case specification with the selected test script. Related systems are disclosed.

Test script generation from test specifications using natural language processing

A method in a communication network for predicting whether a second service will be used by a user in a future time slot. The method comprises obtaining information about which services, of a plurality of services, have historically been used in which time slots in the communication network. The method comprises analysing the obtained information to determine that, whether a first service of the plurality of services is used in any of the historic time slots, correlates with whether the second service of the plurality of services is used in said historic time slot. The method comprises predicting whether the first service will be used by the user in the future time slot. The method comprises predicting, based on whether the first service has been predicted to be used in the future time slot, whether the second service will be used by the user in said future time slot.

User service prediction in a communication network

A method for training a Software Agent to control a communication network is disclosed. The method comprises initialising a training network slice within the communication network, instantiating within the training network slice a cloned version of at least one Virtualised Network Function (VNF) comprised within a production network slice, mirroring traffic incoming to the VNFs of the production network slice and forwarding the mirrored traffic to the training network slice. The method further comprises causing a training instance of the Software Agent to execute a Reinforcement Learning algorithm on the training network slice, and transferring knowledge acquired by the training instance of the Software Agent to a production instance of the Software Agent. Also disclosed are an apparatus and a computer program configured to carry out methods for training a Software Agent to control a communication network.

Training a software agent to control a communication network

A method in a user equipment for predicting an available throughput for uplink data to be sent from the user equipment to a base station over a radio link. The user equipment obtains () an information about a past scheduling of the user equipment. The user equipment obtains () a radio quality measure related to the radio link. The user equipment predicts () the available throughput based on a relationship between the information about a past scheduling of the user equipment and one or more previously obtained pieces of information about the past scheduling of the user equipment. The user equipment predicts the available throughput further based on a relationship between the radio quality measure and of one or more previously obtained radio quality measures. The user equipment predicts the available throughput further based on a previously obtained throughput. The previously obtained throughput is associated with the one or more previously obtained pieces of information about a past scheduling and the one or more previously obtained radio quality measures.

Method and user equipment for predicting available throughput for uplink data

Distributed management of analytics tasks in a programmable network () having a controller (SDNC,), a plurality of network nodes (, N1-N5) coupled to the controller by a Data Communications Network DCN, and a plurality of analytics servers () each coupled to a network node, involves the controller selecting which of the analytics servers to use for an analytics task. The selection is based on how data logged by respective ones of the network nodes and needed for that analytics task, can be routed to the analytics servers. The controller sends to the selected analytics server, an indication of the analytics task and an indication of what data logged by the network nodes is to be used in the analytics task.

Management of analytics tasks in a programmable network

A method () of enabling improved efficiency in a first communications network (A) based on relation metrics on a relation between a first operator (A) of the first communications network (A) and a second operator (B) of a second communications network (A,B). The method () is performed in a network entity () and comprises: obtaining () data relating to users having a subscription with the first operator (A) and data relating to users having a subscription with the second operator (B); determining (), based on the obtained data relating to users, a first metric IAB giving number of users roaming to the first operator (A) from the second operator (B) and a second metric OAB giving number of users roaming from the first operator (A) to the second operator (B); and providing () the first and second metrics IAB, OAB as relation metrics to a network device (A) of the first communications network (A) for use in improving efficiency in the first communications network (A). A method () in a network device (A) is also provided, and a network entity, a network device, computer programs and computer program products.

Method of enabling improved efficiency in a first communications network, network entity, network device, computer programs and computer program products

The invention relates to a network node and a method for handling alarms in a communications network. The method comprises, for a set S of alarms collected in the communications network during a time period T: &#x2014;obtaining a first and a second type of alarms and their time of arrival from the set; and applying Kernal Density Estimation on the respective first and second type of alarms, by applying a distribution function to each occurrence of the first and second type of alarms; thus obtaining a respective distribution function for the first and second type of alarms over the time period T. The method further comprises determining a maximum correlation between the distribution function for the first type of alarms and the distribution function for the second type of alarms, and determining the time shift between the distribution functions associated with the maximum correlation; and obtaining an indication of a mutual relation between the first and second type of alarms based on the maximum correlation and the time shift. The method further comprises comparing the obtained indication with at least a first threshold, and managing the alarm types based on the comparison.

Managing network alarms

A sensor data system, method and computer program configured to handle sensor data are disclosed. The system includes a reception unit adapted to receive sensor data, a storing unit adapted to store at least some of the received sensor data in an observations database, a recording unit adapted to record usage of the sensor data, and a relevance determination unit adapted to determine the relevance of the sensor data based on the recorded usage. A decision unit is adapted to remove excess sensor data with determined relevance below a limit from the observations database, and to retain relevant sensor data with determined relevance above the limit in the sensor database. Sensor data in an observations database may thereby be limited to a desired size, by removal of excess sensor data from the database.

Method, computer program, computer program product and system for handling sensor data

A method of performing cell selection for a set of mobile terminals among at least two neighboring cells including a first and a second radio access node, respectively, includes acquiring a value of at least one property reflecting a network condition for each one of the mobile terminals, determining with which one of the first and second radio access nodes each of the mobile terminals initially should be associated based on the value of the acquired property for each mobile terminal, and generating a plurality of variations to the determined initial association based on a corresponding selected parameter. The method includes performing cell selection for at least a subset of the generated plurality of variations to the initial association, and determining a value of a metric for each of the performed cell selections and associating each metric value with said acquired property.

Adaptive cell selection in heterogeneous networks

A method in a network node downloads an upcoming web page to a user equipment. The network node obtains a first value, relating to the upcoming web page, of a set of features. The features represent any one out of: the upcoming web page, the user equipment, and a web browser in the user equipment. The network node predicts whether it is beneficial regarding download time to activate an uplink grant pre-allocation for the user equipment for downloading the upcoming web page. The prediction is based on a relationship between the first value and of a second value of the set of features, which second value is related to a previously downloaded web page, and an evaluation whether it is beneficial regarding download time to activate the uplink grant pre-allocation for the previously downloaded web page. The network node provides the prediction to a base station.

Network node, a base station for uplink grant pre-allocation

The present disclosure provides enhanced group recommendation for selection of a service item with respect to a service class, and communicates the enhanced group recommendation to a sub-group of service users. Initial service scores for service items in the service class are generated by aggregating individual service preferences of sub-group members with respect to the service class. Group preferences for service items in the service class are then predicted using statistic data on previous service selections of sub-group members with respect to the service class. The initial service scores are aggregated with the predicted group preferences to generate of weighted service scores with respect to service items in the service class. One of the service items in the service class that has the highest weighted score is the group recommendation is communicated to the sub-group members.

Group recommendation for selection of service items

A method of operating a User Equipment, UE, in a wireless communication network. The UE is configured for Discontinuous Reception, DRX, operation with a DRX cycle having a DRX ON period in which the UE is in a DRX awake state and ready for reception and a DRX OFF period in which the UE is in a DRX sleep state. The UE determines whether an uplink packet to be transmitted is delay tolerant. The UE delays, when the uplink packet is regarded as delay tolerant, a request for an uplink transmission grant for the uplink packet until a DRX ON period of the UE. By delaying the request for an uplink transmission grant for a delay tolerant uplink packet until a DRX ON period of the UE, the UE does not have to wake up to listen to the response from the network during the DRX OFF period.

Efficient operation of user equipment in a wireless communication network

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Sollentuna, Sweden

Vincent Huang