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公开(公告)号：WO2023014250A1
公开(公告)日：2023-02-09
申请号：PCT/SE2021/050769
申请日：2021-08-03
发明人： KARAPANTELAKIS, Athanasios , VANDIKAS, Konstantinos , ORLIC, Marin , TESLENKO, Maxim , DAOUTIS, Marios , NIKOU, Alexandros , VULGARAKIS FELJAN, Aneta , ELEFTHERIADIS, Lackis
摘要： There is provided a method for training a reinforcement learning system for optimising routing for a network including a plurality of Integrated Access and Backhaul (IAB) nodes connected to a IAB donor. The method comprises: acquiring observations characterising a current state of the plurality of IAB nodes, determining an action to be performed based on latest acquired observations, executing the action by initiating update of the routing information based on the determined action, acquiring observations characterising an updated state of the plurality of IAB nodes, determining a reward for the determined action, based on the updated state of the plurality of IAB nodes, storing an experience set, and training the reinforcement learning system to maximise reward with respect to an optimisation objective, using the one or more stored experience sets in the buffer.
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公开(公告)号：WO2022223109A1
公开(公告)日：2022-10-27
申请号：PCT/EP2021/060378
申请日：2021-04-21
发明人： JEONG, Jaeseong , AL HAKIM, Ezeddin , OUTES CARNERO, Jose , MENDO MATEO, Adriano , NIKOU, Alexandros
摘要： A computer implemented method (100) is disclosed for coordinating management of a plurality of cells in a cellular communication network, wherein each of the plurality of cells is managed by a respective Agent. The method comprises assembling a candidate set of cells (110), wherein each cell in the candidate set is awaiting execution of an action selected for the cell by its managing Agent. The method further comprises selecting a cell from the candidate set (120), adding the selected cell to an execution set of cells (130), and removing, from the candidate set of cells, the selected cell and all cells identified in a topology graph of the plurality of cells as fulfilling an interference condition with respect to the selected cell (140). The method further comprises, if a scheduling condition is fulfilled, initiating, for all cells in the execution set of cells, execution of the actions selected for the cells by their managing agents (150).
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公开(公告)号：WO2021239201A1
公开(公告)日：2021-12-02
申请号：PCT/EP2020/064381
申请日：2020-05-25
发明人： KARAPANTELAKIS, Athanasios , ELEFTHERIADIS, Lackis , NIKOU, Alexandros , BATISTA, Pedro , FIKOURAS, Ioannis
摘要： A method performed by a first node in a distributed network is provided. The method includes receiving a request from a second node for transfer learning of a machine learning model for a use case. The request includes a description of a local environment and a use case identifier at the second node. The method further includes identifying a matching criteria for the local environment of the second node based on the use case. The method further includes determining whether at least one distributed node from a plurality of distributed nodes in the distributed network satisfies at least one of a match or a closest match to the matching criteria.
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4.发明申请
公开(公告)号：WO2022197218A1
公开(公告)日：2022-09-22
申请号：PCT/SE2021/050224
申请日：2021-03-15
发明人： KARAPANTELAKIS, Athanasios , TESLENKO, Maxim , BAKTIR, Ahmet Cihat , ORLIC, Marin , MOKRUSHIN, Leonid , DAOUTIS, Marios , VULGARAKIS FELJAN, Aneta , NIKOU, Alexandros , ELEFTHERIADIS, Lackis
摘要： A computer-implemented method performed in a multi-agent system by a first network node (304, 500) is provided for transferring historical data from an operating agent to a second agent for an action controlling a performance of the multi-agent system. The method includes selecting (801) at least one operating agent for transfer of historical data to the second agent. The historical data acquired from executions of an action by the at least one operating agent that at least partially fulfills an input parameter. The selecting is based on one or more criteria including (i) a performance of the at least one operating agent on the parameter or on a related parameter; (ii) an availability of the at least one operating agent; and (iii) an identity of an actuation target system for receipt of the action. The method further includes transferring (803) the historical data to the second agent.
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公开(公告)号：WO2022108496A1
公开(公告)日：2022-05-27
申请号：PCT/SE2020/051103
申请日：2020-11-18
摘要： Methods (500) and devices (800) for determining a priority level for a first application or a first application type. The method comprises receiving (s502) a first usage data reporting message, the first usage data reporting message comprising a first masked usage value generated by a first UE (102) using i) a first usage value associated with a first application or a first application type and ii) a mask value. The method further comprises receiving (s504) a second usage data reporting message, the second usage data reporting message comprising a second masked usage value generated by a second UE (104) using i) a second usage value associated with the first application or the first application type and ii) the mask value. The method further comprises combining (s506) the first masked usage value and the second masked usage value, thereby generating a combined usage value; and using (s508) the combined usage value to determine a priority level for the first application or the first application type.
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公开(公告)号：WO2022079472A1
公开(公告)日：2022-04-21
申请号：PCT/IB2020/059645
申请日：2020-10-14
发明人： NIKOU, Alexandros , ALAM, Assad , BATISTA, Pedro , KVERNVIK, Tor , ORLIC, Marin , PREVITI, Alessandro , VANDIKAS, Konstantinos
摘要： There is provided a method performed by an entity for managing connectivity of a device to a network. The method comprises selecting (102), from a plurality of connectivity service providers in the network, a connectivity service provider (CSP) to connect the device to the network. The selection is based on information about the device.
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公开(公告)号：WO2022037765A1
公开(公告)日：2022-02-24
申请号：PCT/EP2020/073136
申请日：2020-08-18
发明人： KARAPANTELAKIS, Athanasios , FIKOURAS, Ioannis , ELEFTHERIADIS, Lackis , DAOUTIS, Marios , TESLENKO, Maxim , LAFTSIDIS, Akis , NIKOU, Alexandros , VANDIKAS, Konstantinos
IPC分类号： G06N20/00
摘要： There is provided a method for handling training of a machine learning model. The method is performed by a coordinating entity that is operable to coordinate the training of the machine learning model at one or more network nodes. In response to receiving a request to train the machine learning model, a first network node is selected (402), from a plurality of network nodes, to train the machine learning model based on information indicative of a performance of each of the plurality of network nodes and/or information indicative of a quality of a network connection to each of the plurality of network nodes. Transmission of the machine learning model is initiated (404) towards the first network node for the first network node to train the machine learning model.
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8.发明申请
公开(公告)号：WO2021239238A1
公开(公告)日：2021-12-02
申请号：PCT/EP2020/064916
申请日：2020-05-28
发明人： VANDIKAS, Konstantinos , ELEFTHERIADIS, Lackis , NIKOU, Alexandros , JIN, Yifei , FIKOURAS, Ioannis
摘要： A method of operating a radio network node to adjust power consumption of a telecommunications network is provided. The method includes determining a traffic prediction representing how each node of a set of nodes will interact with the radio network node over a period of time using a combined traffic model based on a traffic model of each node in the set of nodes. The method further includes determining to enable or disable at least one power related feature of the radio network node based on the traffic prediction.
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公开(公告)号：WO2023072436A1
公开(公告)日：2023-05-04
申请号：PCT/EP2022/058154
申请日：2022-03-28
发明人： KARAPANTELAKIS, Athanasios , ELEFTHERIADIS, Lackis , TESLENKO, Maxim , GORBATOV, Oleg , CYRAS, Kristijonas , NIKOU, Alexandros , NORDQUIST, Gabriella , NYSTRÖM, Cecilia , KUMAR KUDROLI, Rohan
IPC分类号： H04W24/04
摘要： 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. The method further includes computing an operational difference measure of the second group of local computing devices using the acquired updated operational parameters. The method further includes determining optimized operational temperature conditions to be transmitted to the second group of local computing devices by using distributed ML, in response to determining that the computed operational difference measure is less than a threshold value.
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公开(公告)号：WO2022188957A1
公开(公告)日：2022-09-15
申请号：PCT/EP2021/055926
申请日：2021-03-09
发明人： MUJUMDAR, Anusha Pradeep , AL HAKIM, Ezeddin , VANELLA, Filippo , NIKOU, Alexandros , RIAZ, Hassam
摘要： Computer implemented methods (200, 500) are disclosed for managing, and for facilitating management of an environment within a domain, the environment being operable to perform a task. The management method comprises for each of a plurality of possible actions that may be executed on the environment in a current state of the environment, obtaining a risk contour (230) and predicted reward (220) associated with the possible action. The method further comprises selecting (240), from among the possible actions and on the basis of the risk contours and predicted reward, an action for execution on the environment, and initiating execution of the selected action (250). A risk contour associated with a possible action comprises probabilities of the environment entering possible future states on execution of the action, confidence values associated with the probabilities, and for the possible future states, a representation of a domain level consequence of the environment entering the possible future state (230a).
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