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公开(公告)号：US20220264604A1
公开(公告)日：2022-08-18
申请号：US17626911
申请日：2020-07-17
IPC分类号： H04W72/12
摘要： Apparatuses and methods are disclosed for preemption priority level for Uplink Control Information (UCI) and/or Physical Uplink Shared Channel (PUSCH) conflict resolution. In one embodiment, a method implemented in a network node includes indicating to a wireless device (WD) a priority associated with at least one uplink (UL) channel; and receiving at least one UL signal based at least in part on the indicated priority. In another embodiment, a method implemented in a WD includes determining a priority associated with at least one of at least two uplink (UL) channels; and resolving a conflict between the at least two uplink channels based at least in part on the determined priority.
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公开(公告)号：US20230394032A1
公开(公告)日：2023-12-07
申请号：US18035576
申请日：2020-12-04
发明人： Henrik RYDÉN , Joel BERGLUND , Alexandros PALAIOS , Reza MOOSAVI , Abdulrahman ALABBASI , Ricardo da Silva SOUZA
IPC分类号： G06F16/23
CPC分类号： G06F16/2365
摘要： A computer-implemented method for acquiring new data samples and for maintaining a set of data samples in a database, wherein the set of data samples are configured to form input to a function associated with a predictive performance, the method including obtaining at least one relevance metric (M), where the relevance metric is indicative of an increase in the predictive performance of the function when using a data sample as input together with the set of data samples compared to when not using the data sample, obtaining a relevance criterion (C), where the relevance criterion identifies relevant data samples in a set of data samples based on the at least one relevance metric, signaling the at least one relevance metric (M) and the relevance criterion (C) to a data collecting network node.
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公开(公告)号：US20230010095A1
公开(公告)日：2023-01-12
申请号：US17784570
申请日：2019-12-18
IPC分类号： H04L41/14 , H04L41/147 , H04L41/16
摘要： A method performed by a network computing device in a telecommunications network for adaptively deploying an aggregated machine learning model and an output parameter in the telecommunications network to control an operation in the telecommunications network. The network computing device can aggregate client machine learning models and an output performance metric the client machine learning models to obtain an aggregated machine learning model and an aggregated output performance metric. The network computing device can train a network machine learning model with the aggregated output performance metric and at least one measurement of a network parameter to obtain an output parameter. The network computing device can send to the client computing devices the aggregated machine learning model and the output parameter of the network machine learning model. A method performed by a client computing device is also provided.
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4.发明申请公开(公告)号：US20220150131A1
公开(公告)日：2022-05-12
申请号：US17435183
申请日：2019-03-07
IPC分类号： H04L41/147 , H04L67/61 , H04L41/16
摘要： A method in a control unit for configuration in a wireless communication system is provided. A service category is mapped to a virtual network instance based on service requirements of the service category, the virtual network instance having a first virtual network instance configuration for a current time interval, the first virtual network instance configuration defining a first allocation of resources in a plurality of network layers. A network state in a next time interval is predicted and it is determined if the predicted network state results in a predicted performance degradation in the next time interval. On condition that there is a predicted performance degradation, a second virtual network instance configuration is determined for the next time interval. The virtual network instance is configured based on the first network instance configuration or the second network instance configuration.
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公开(公告)号：US20240172283A1
公开(公告)日：2024-05-23
申请号：US18551050
申请日：2021-04-08
发明人： Abdulrahman ALABBASI , Henrik RYDÉN , Hazhir SHOKRI RAZAGHI , Alexandros PALAIOS , Reza MOOSAVI
IPC分类号： H04W74/0816 , G06N3/092 , H04L41/16 , H04W24/02 , H04W28/02
CPC分类号： H04W74/0816 , G06N3/092 , H04L41/16 , H04W24/02 , H04W28/0252
摘要： A computer implemented method performed by a first node in a communications network for use in determining whether a channel between the first node and a target node is in use. The method includes selecting, from a plurality of other nodes that are suitable for making measurements on the channel, a subset of the other nodes from which to obtain channel information in order to determine whether the channel is in use. The selection is performed using a first model trained using a first machine learning process to select the subset of other nodes based on accuracy of the resulting determination of whether the channel is in use. The method then includes sending a message to cause the subset of other nodes to obtain the channel information.
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公开(公告)号：US20230042545A1
公开(公告)日：2023-02-09
申请号：US17791476
申请日：2020-01-08
IPC分类号： H04W28/02
摘要： A method performed by a network node for a wireless telecommunications network performs operations including providing a resource allocation model that corresponds to a base station and that provides a recommendation regarding resource allocation for a user equipment, UE, that is in an operating zone of the base station during a limited resource condition of the base station. Operations may include identifying, based on the resource allocation model, a reduced priority zone in the operating zone of the base station that corresponds to the UE having a high risk of reduced service from the base station relative to other UEs in the operating range of the base station.
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公开(公告)号：US20230019669A1
公开(公告)日：2023-01-19
申请号：US17784877
申请日：2020-12-18
摘要： Systems and methods are disclosed herein for enhanced feedback for cascaded federated machine learning (ML). In one embodiment, a method of operation of a server comprises, for a training epoch, receiving, from each of client device, information including a local ML model as trained at the client device and an estimated value of each parameter output by the local ML model. The method further comprises aggregating the local ML models to provide a global ML model and training a network ML model based on the estimated values of each of the parameters output by the local ML models and global data available at the server. The method further comprises providing, to each client device, information including the global ML model and feedback information related to a hidden neural network layer of the network ML model. The method further comprises repeating the process for one or more additional training epochs.
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公开(公告)号：US20240340269A1
公开(公告)日：2024-10-10
申请号：US18293441
申请日：2021-08-18
CPC分类号： H04L63/04 , G06F21/6254
摘要： A method for operating a service consumer which is requesting to utilize a network service provided by a service provider in a cellular network. The method includes, at the service consumer, transmitting a service request to the service provider, the service request including a privacy indication indicating that a privacy related information necessary as input for the network service is requested to be privacy protected when used outside the service consumer, receiving a service response from the service provider, the service response comprising a privacy model and an indication how to use the privacy model, and processing the privacy model at the service consumer based on the indication.
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公开(公告)号：US20230292306A1
公开(公告)日：2023-09-14
申请号：US17999457
申请日：2021-05-19
发明人： Alexey SHAPIN , Abdulrahman ALABBASI , Zhenhua ZOU
IPC分类号： H04W72/1263 , H04W72/563
CPC分类号： H04W72/1263 , H04W72/563
摘要： A method 1200 performed by a wireless device 110 includes receiving 1202 a cancellation indicator (CI) cancelling a transmission of data associated with a configured grant (CG) in a first transmission occasion. The wireless device 110 transmits the data associated with the CG in a second transmission occasion of the CG.
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公开(公告)号：US20230016595A1
公开(公告)日：2023-01-19
申请号：US17780887
申请日：2019-11-28
发明人： Henrik RYDÉN , Martin ISAKSSON , Vijaya YAJNANARAYANA , Sakib BIN REDHWAN , Roman ZHOHOV , Maksym GIRNYK , Abdulrahman ALABBASI
摘要： In a method in a user equipment, UE, in a communications network, of determining whether to perform a handover procedure from a first network node to a second network node, a location of the UE is provided as input to a model stored on the UE, the model having been trained using a machine learning process to predict conditions on the second network node in the communications network based on the location of the UE. A prediction of conditions on the second network node at the provided location of the UE is provided by the model. The received predicted conditions are then used to determine whether to perform a handover procedure.
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