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公开(公告)号：US20240291612A1
公开(公告)日：2024-08-29
申请号：US18686615
申请日：2021-08-27
申请人： NEC CORPORATION
CPC分类号： H04L5/0048 , H04L41/16
摘要： Embodiments of the present disclosure relate to methods, devices, and computer readable medium for communication. According to embodiments of the present disclosure, a terminal device transmits its capability related to an artificial intelligence (AI) data processing model to a network device. The network device transmits to the terminal device a first reference signal configuration which is used during an first phase of the AI data processing model. The terminal device determines an association between the first reference signal configuration and a second reference signal configuration which is used during a training phase of the AI data processing model. In this way, the AI/ML techniques are integrated with CSI framework. Further, the terminal device understands when the reduced reference signals are used and perform corresponding behaviors.
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公开(公告)号：US12075346B2
公开(公告)日：2024-08-27
申请号：US17753816
申请日：2019-10-31
申请人： Google LLC
发明人： Jibing Wang , Erik Richard Stauffer
CPC分类号： H04W48/18 , G06F18/285 , H04L41/16 , H04W8/08 , H04W24/10 , H04W64/003
摘要： This document describes techniques and devices for determining a machine-learning architecture for network slicing. A user equipment (UE) and a network-slice manager communicate with each other to determine a machine-learning (ML) architecture, which the UE then employs to wirelessly communicate data for an application. In particular, the UE selects a machine-learning architecture that provides a quality-of-service level requested by an application. The network-slice manager accepts or rejects the request based on one or more available end-to-end machine-learning architectures associated with a network slice that supports the quality-of-service level requested by the application. By working together, the UE and the network-slice manager can determine an appropriate machine-learning architecture that satisfies a quality-of-service level associated with the application and forms a portion of an end-to-end machine-learning architecture that meets the quality-of-service requested by the application.
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33.发明公开公开(公告)号：US20240283787A1
公开(公告)日：2024-08-22
申请号：US18648419
申请日：2024-04-28
CPC分类号： H04L63/083 , H04L41/16 , H04L63/0428
摘要： A system is provided for secured electronic data access through machine-learning based analysis of combined access authorizations. In particular, the system may maintain an access provisioning database which stores data regarding the data access authorizations that have been granted to one or more third party computing systems or entities. The system may further continuously monitor and aggregate electronic data from one or more electronic data streams and analyze the electronic data to intelligently generate probabilities for future events that create certain combinations of access authorizations that affect the security of the electronic data to which the third party computing systems have authorized access. In this way, the system may provide an effective way to manage access authorizations.
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公开(公告)号：US20240283708A1
公开(公告)日：2024-08-22
申请号：US18112174
申请日：2023-02-21
申请人： Linda Lee Richter
发明人： Linda Lee Richter
CPC分类号： H04L41/16 , H04L43/04 , H04L63/102
摘要： An apparatus and method for traffic data access management, the apparatus including: at least a processor, and a memory communicatively connected to the at least processor, the memory containing instructions configuring the at least processor to generate a first user interface configured to receive traffic data and a user protocol including a plurality of authorization credential requirements, classify the traffic data to the plurality of authorization credential requirements, generate a second user interface configured to display the traffic data, wherein displaying the traffic data includes displaying confidential traffic data and non-confidential traffic data, receive an access request, authorize the access request, and display, using the second user interface, the confidential traffic data.
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公开(公告)号：US20240276241A1
公开(公告)日：2024-08-15
申请号：US18408060
申请日：2024-01-09
发明人： Rajeev KUMAR , Eren BALEVI , Srinivas YERRAMALLI , Taesang YOO , Naga BHUSHAN
摘要： An apparatus, method and computer-readable media are disclosed for performing wireless communications. For example, a process for wireless communications is provided. The process can include receiving a first set of operations supported by one or more machine learning models of a network entity, receiving a first set of parameters associated with the first set of operations, wherein the first set of parameters are supported by the one or more machine learning models of the network entity, selecting a machine learning model for performing a first operation of the first set of operations based on the first set of parameters, detecting a change in at least one of: the first operation, or a parameter associated with the first operation, and transmitting an indication to change the first operation based on the detected change.
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公开(公告)号：US20240275690A1
公开(公告)日：2024-08-15
申请号：US18432149
申请日：2024-02-05
发明人： Tejas SUBRAMANYA , Sina KHATIBI , Fabio GIUST
摘要： There is provided an apparatus means for, at a central node associated with a plurality of distributed nodes, determining that at least one distributed node of the plurality of distributed nodes has not provided training information relating to a training process of a machine learning model before expiry of a first timer for a given iteration of N iterations of the training process, means for generating analytic information relative to the at least one distributed node, wherein the analytic information comprises a count based on the determining and means for providing the analytic information to a storage function.
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公开(公告)号：US12063712B2
公开(公告)日：2024-08-13
申请号：US17548309
申请日：2021-12-10
发明人： Shivaram Sitaram , Rajeev Kubba , Ying Wang , Junyu Gong
摘要： A system and method for identifying devices with WiFi connection incompatibility are described. Data related to connectivity for at least one customer premise equipment (CPE) connected to each terminal in a satellite network is collected in order to generate a set of metrics associated with each of the at least CPE using the collected data. A first set of results indicative of network incompatibility is determined for each of the CPEs. Next, a second set of results indicative of network incompatibility is determined for each CPE using at least one machine learning algorithm. Information indicative of network incompatibility is subsequently generated for each CPE based on the first set of results and the second set of results.
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38.发明公开公开(公告)号：US20240267308A1
公开(公告)日：2024-08-08
申请号：US18107258
申请日：2023-02-08
IPC分类号： H04L43/062 , H04L41/16 , H04L43/04
CPC分类号： H04L43/062 , H04L41/16 , H04L43/04
摘要： In one embodiment, a central agent obtains device inventory data from a plurality of networks regarding endpoint devices in those networks. The central agent receives a request for a behavioral model for a particular type of endpoint device. The central agent selects one or more networks of the plurality of networks to export traffic data associated with endpoint devices of the particular type. The central agent configures one or more export agents at the one or more networks to export the traffic data. The traffic data exported by the one or more export agents is used to train the behavioral model.
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39.发明授权公开(公告)号：US12052147B2
公开(公告)日：2024-07-30
申请号：US18222637
申请日：2023-07-17
发明人： Stephen Poteat , Justin Hattaway , Sami Makinen , Yassine Maalej
IPC分类号： H04L41/16 , H04L41/5022 , H04L47/78 , H04L47/783
CPC分类号： H04L41/16 , H04L41/5022 , H04L47/783 , H04L47/788
摘要： Methods and apparatus for predicting communications resources which will be needed at a venue and then controlling the amount of available resources dynamically are described. In various embodiments real time or near real time video of areas of the venue are used to predict the number of people in a portion of a venue and/or the direction of movement. Along with other information such as the type of event and/or event schedule collected information is supplied to a set of trained resource requirement models which are used to predict future resource needs at a venue, e.g., while an event is ongoing. Commands are sent to dynamically vary the amount of communications resources provided to one or more portions of the venue. Resources which can be varied included but are not limited to fixed wired WAN bandwidth, WiFi bandwidth, cellular bandwidth, network based on-demand services, transcoding services, firewall services, etc.
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40.发明公开公开(公告)号：US20240250904A1
公开(公告)日：2024-07-25
申请号：US18016814
申请日：2022-12-29
申请人： RAKUTEN MOBILE, INC.
发明人： Pankaj SHETE , Awn MUHAMMAD
CPC分类号： H04L45/505 , H04L41/16 , H04W24/10
摘要： Systems and methods for implementing an optimization of a carrier and/or cell switch off/on in an O-RAN by a SMO-framework, the method includes: collecting O1-related data providing O1 configurations required to perform cell and/or carrier switch off/on; based on the collected O1-related data, re-training of AI/ML model, deploying and activating one re-trained AI/ML model for inferring data providing O1 configurations required to perform the cell and/or carrier switch off/on within the O-RAN; monitoring the O1-related data providing O1 configurations required to perform the cell and/or carrier switch off/on; evaluating the O1-related data providing O1 configurations required to perform cell and/or carrier switch off/on; determining to generate O1 configuration data to prepare and execute the cell and/or carrier switch off/on and sending the O1 configuration data to prepare and execute the cell and/or carrier switch off/on to an E2 node; implementing the cell and/or carrier switch off/on within the O-RAN.
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