Patents by Inventor Kristijonas Cyras
Kristijonas Cyras has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240413425Abstract: Embodiments disclosed herein relate to methods and apparatus for managing heat transfer to a battery. In one embodiment there is provided a method for managing heat transfer to a battery (105) electrically coupled to an electronic device. The method comprises determining a battery temperature of the battery (210) and a predicted heat source parameter associated with the electronic device (215). A battery heat transfer action (220) in a thermal medium (120b, 320hc) coupled between the battery and the electronic device is performed dependent on the predicted heat source parameter (453h) and a difference between a prescribed wanted battery temperature (453w) and the determined battery temperature (453b).Type: ApplicationFiled: February 8, 2022Publication date: December 12, 2024Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Konstantinos VANDIKAS, Lackis ELEFTHERIADIS, Kristijonas CYRAS, Athanasios KARAPANTELAKIS, Cecilia NYSTRÖM, Divya SACHDEVA, Marin ORLIC, Gabriella NORDQUIST
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Publication number: 20240406776Abstract: A method for managing operational temperature conditions of one or more base stations being executed at a central computing device in a communication system is provided. The method includes acquiring initial operational parameters for each local computing device of a first group of local computing devices associated with the one or more base stations. The method further includes determining one or more clusters by grouping each local computing device of the first group of local computing devices under one of the determined clusters based on the acquired operational parameters. The method further includes training, a central machine learning (ML) model for each determined cluster. The method further includes acquiring, for each local computing device of a second group of local computing devices associated with the one or more base stations, updated operational parameters.Type: ApplicationFiled: March 28, 2022Publication date: December 5, 2024Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Athanasios KARAPANTELAKIS, Lackis ELEFTHERIADIS, Maxim TESLENKO, Oleg GORBATOV, Kristijonas CYRAS, Alexandros NIKOU, Gabriella NORDQUIST, Cecilia NYSTRÖM, Rohan KUMAR KUDROLI
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Publication number: 20240386300Abstract: There is provided a method for consolidating explanations associated with actions proposed based on a current state of a system and an intent. The method includes acquiring first and second explanations, the first and second explanations being associated with a proposed action or with different actions, wherein each of the first and second explanations includes one or more constraints, combining constraints from the first and second explanations to form a set of constraints D, generating a planning problem P=<K, A, I, G, Cost>, wherein K consists of a set of predicates F and the set of constraints D, wherein A represents a set of possible actions, I represents an initial state of the system, G represents a goal state of the system, and Cost represents cost values associated with each constraint, and determining a solution for the planning problem.Type: ApplicationFiled: September 14, 2021Publication date: November 21, 2024Inventors: Sunil Kumar VUPPALA, Saurabh SINGH, Kristijonas CYRAS, Anusha Pradeep MUJUMDAR, Arpit SISODIA, Wenfeng HU, Sai Hareesh ANAMANDRA
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Publication number: 20240342429Abstract: In one aspect, a computer-implemented method of adapting a sensory datastream is provided. The method includes obtaining a raw sensory datastream from a source, wherein the raw sensory datastream comprises input for a sensory actuator of a user device. The method includes obtaining state information, wherein the state information comprises information indicating a first state of a user. The method includes predicting, using a machine learning model, a desired second state of the user based on the obtained state information. The method includes determining an action to adapt the raw sensory datastream based on the desired second state of the user. The method includes adapting the raw sensory datastream in accordance with the determined action and the first state of the user to create a processed sensory datastream. The method includes providing the processed sensory datastream to the sensory actuator of the user device.Type: ApplicationFiled: August 4, 2021Publication date: October 17, 2024Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Athanasios KARAPANTELAKIS, Divya SACHDEVA, Lackis ELEFTHERIADIS, Maxim TESLENKO, Konstantinos VANDIKAS, Alexandros NIKOU, Alessandro PREVITI, Kristijonas CYRAS
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Publication number: 20240320489Abstract: A computer-implemented method (500) for determining, using a machine learning (ML) model, extended reality (XR) notification types for delivering notification of an event to a user is provided.Type: ApplicationFiled: September 13, 2021Publication date: September 26, 2024Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Konstantinos VANDIKAS, Marin ORLIC, Kristijonas CYRAS, Alexandros NIKOU, Alessandro PREVITI
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Publication number: 20240323712Abstract: For a set of access nodes of a wireless communication network, data throughput of user plane, UP, traffic and control plane, CP, traffic generated by wireless communication devices being served by the access nodes on a plurality of wireless carrier signals is predicted. Further, mobility of the wireless communication devices is predicted. Further, based on the predicted data throughput and the predicted mobility, it is decided for at least some of the plurality of wireless carrier signals whether the wireless carrier signal is assigned either to serving UP traffic, to serving CP traffic, or to serving both UP traffic and CP traffic.Type: ApplicationFiled: July 14, 2021Publication date: September 26, 2024Inventors: Athanasios KARAPANTELAKIS, Maxim TESLENKO, Divya SACHDEVA, Konstantinos VANDIKAS, Kristijonas CYRAS, Lackis ELEFTHERIADIS
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Publication number: 20240195650Abstract: A computer implemented method for determining, in coordination with a second device, whether a first device can perform a first action. The method comprises sending (202) a first message to the second device, wherein the first message comprises i) an indication of the first action to be performed by the first device and ii) a first time interval indicating when the first action is to be performed. the method further comprises receiving (204) a second message from the second device according to an argumentation protocol defined between the first device and the second device, wherein the second message comprises i) a first response related to whether the first device can perform the first action, and ii) a second time interval in which the first response is applicable. The first response is valid according to the argumentation protocol if the second time interval overlaps the first time interval.Type: ApplicationFiled: May 17, 2021Publication date: June 13, 2024Inventors: Kristijonas Cyras, Marios Daoutis, Anusha Pradeep Mujumdar, Ajay Kattepur, Burak Demirel
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Publication number: 20240119369Abstract: There is provided a method performed by a central entity of a network. A first set of features is selected for a machine learning model to take into account when analysing data. The machine learning model is to be deployed at an edge entity of the network. The selection is based on first information indicative of data that is available for the machine learning model to analyse, second information indicative of features that are available for the machine learning model to take into account when analysing data, and contextual information associated with the network.Type: ApplicationFiled: February 17, 2021Publication date: April 11, 2024Inventors: Kristijonas CYRAS, Athanasios KARAPANTELAKIS, Marin ORLIC, Jörg NIEMÖLLER, Leonid MOKRUSHIN, Aneta Vulgarakis FELJAN, Ramamurthy BADRINATH
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Publication number: 20240089182Abstract: A method performed by a node in a communications network for determining a target network configuration for use in providing services to a first operator on the communications network. The method includes obtaining characteristics of the first operator; obtaining, for a plurality of previous operators in the communications network, characteristics of the previous operators and corresponding target network configurations used for the respective previous operators; matching the first operator to a second operator selected from the previous operators based on similarity between the characteristics of the first operator and the characteristics of the previous operators; and determining the target network configuration for the first operator, based on a target network configuration used for the second operator.Type: ApplicationFiled: February 9, 2021Publication date: March 14, 2024Inventors: Kristijonas CYRAS, Marin ORLIC, Aneta VULGARAKIS FELJAN, Saurabh SINGH
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Patent number: 11894990Abstract: A computer implemented method performed by a node in a communications network comprises obtaining Key Performance Indicator, KPI, targets for a plurality of KPIs, in the communications network, and determining relationships between the KPIs using a model trained using a graph-based machine learning process. Each relationship describes a manner in which changing a network configuration to alter a first one of the plurality of KPIs affects a second one of the plurality of KPIs. The method then comprises determining one or more conflicts between the KPI targets, using the relationships.Type: GrantFiled: September 30, 2020Date of Patent: February 6, 2024Assignee: Telefonaktiebolaget LM Ericsson (publ)Inventors: Alessandro Previti, Kristijonas Cyras, Yifei Jin, Pedro Batista, Aneta Vulgarakis Feljan, Marin Orlic
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Publication number: 20240015553Abstract: There is provided a method for estimating a total energy consumption of a user equipment (UE) in a network. The method is performed by a network node. A total energy consumption for the UE is estimated (102) based on a resource usage for the UE and a measure of energy consumed by a base station of the network serving the UE in communicating with the UE. The resource usage for the UE is reported to the network node by the UE and/or the base station, and the measure of energy consumed by the base station is reported to the network node by the UE and/or the base station.Type: ApplicationFiled: November 11, 2020Publication date: January 11, 2024Inventors: Lackis Eleftheriadis, Alexandros Nikou, Cecilia Nyström, Kristijonas Cyras, Marin Orlic
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Publication number: 20230334311Abstract: Embodiments described herein relate to methods and apparatuses for training a neural network. A method comprises receiving an input data set at a layer of the neural network; performing a forward pass and a backward pass on the input data set to determine regular output data; calculating a first loss associated with the regular output data; performing a quantized forward pass and a quantized backward pass on the input data set to determine quantized output data; calculating a second loss associated with the quantized output data; comparing the first loss to the second loss; and based on the comparison determining whether to reduce the input data set to provide a reduced data set.Type: ApplicationFiled: August 6, 2021Publication date: October 19, 2023Inventors: Konstantinos Vandikas, Aneta Vulgarakis Feljan, Anusha Pradeep Mujumdar, Cecilia Nyström, Kristijonas Cyras, Ramamurthy Badrinath
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Publication number: 20230327961Abstract: A computer implemented method performed by a node in a communications network comprises obtaining Key Performance Indicator, KPI, targets for a plurality of KPIs, in the communications network, and determining relationships between the KPIs using a model trained using a graph-based machine learning process. Each relationship describes a manner in which changing a network configuration to alter a first one of the plurality of KPIs affects a second one of the plurality of KPIs. The method then comprises determining one or more conflicts between the KPI targets, using the relationships.Type: ApplicationFiled: September 30, 2020Publication date: October 12, 2023Inventors: Alessandro PREVITI, Kristijonas CYRAS, Yifei JIN, Pedro BATISTA, Aneta VULGARAKIS FELJAN, Marin ORLIC
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Publication number: 20230289591Abstract: Methods and sewer nodes generate machine learning models using models trained locally while avoiding misinformation by selectively aggregating models trained locally using data stored in client devices, which are connected to the server node via a communication network. The client devices receive an initial model and return updated model parameters of a respective model locally trained. Logical explanations are obtained, for each of the client devices, based on the updated model parameters and at least one set of input and corresponding output values. A distance based on the logical explanations, for each client device in a secondary cluster, measures a deviation of the respective model relative to model(s) of client devices in a primary cluster. The output model is generated by selectively aggregating at least the models received from the client devices in the primary cluster, while assessing each client device in the secondary cluster based on the distance thereof.Type: ApplicationFiled: June 15, 2020Publication date: September 14, 2023Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Kristijonas CYRAS, Alexandros NIKOU, Konstantinos VANDIKAS, Lackis ELEFTHERIADIS, Alessandro PREVITI
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Publication number: 20230276298Abstract: The present disclosure relates to methods and devices (14, 20) for enabling mitigation of radio traffic overload in at least one radio cell (19) among a group of radio cells (17, 18, 19). In an aspect, a method of a supervising device (20) of enabling mitigation of radio traffic overload in at least one radio cell (19) among a group of radio cells (17, 18, 19) is provided.Type: ApplicationFiled: June 24, 2020Publication date: August 31, 2023Inventors: Athanasios Karapantelakis, Marin Orlic, Kristijonas Cyras, Leonid Mokrushin, Jörg Niemöller
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Publication number: 20230246910Abstract: A method (200) performed by a node (100) in a telecommunications network for selecting a preferred action to take from a plurality of proposed actions in order to achieve a target network configuration in the telecommunications network. The method comprises obtaining (202) the plurality of proposed actions, evaluating (204) each of the plurality of proposed actions compared to the target network configuration using a computational argumentation process, and selecting (206) the preferred action, based on the results of the evaluating.Type: ApplicationFiled: July 1, 2020Publication date: August 3, 2023Applicant: Telefonaktiebolaget LM Ericsson (publ)Inventors: Kristijonas CYRAS, Yifei JIN, Marin ORLIC, Jörg NIEMÖLLER, Leonid MOKRUSHIN, Aneta VULGARAKIS FELJAN