4680results about "Service provisioning" patented technology

A method, performed by a user equipment (UE), of managing secondary platform bundles (SPBs), includes receiving an end user selection for managing a state of at least one SPB among SPBs installed in a smart secure platform (SSP) module; checking bundle management information required to manage the state of the at least one SPB based on the end user selection; determining whether end user intent confirmation is required to manage the state of the at least one SPB according to the end user selection based on the bundle management information; and managing the state of the at least one SPB based on a result of the determining.

A computer system can remotely manage a vehicle's operational settings. The computer system can cause operational settings data to be downloaded to a vehicle to control one or more operations of the vehicle. The computer system can generate download event information indicating the operational settings data downloaded to the vehicle and a user associated with the vehicle. The computer system can access a pricing structure associated with operational settings. The computer system can charge the user based on the pricing structure and the download event information.

Various embodiments are disclosed for a services policy communication system and method. In some embodiments, a communications device stores a set of device credentials for activating the communications device for a service on a network; and sends an access request to the network, the access request including the set of device credentials.

The described technology is generally directed towards conflict management of applications implemented on a radio access network (RAN) network. Various embodiments are presented to enable identification of a potential conflict (e.g., where an application is being onboarded) as well as a present conflict (e.g., where two or more applications are already operational). Conflicts may directly affect a control target, e.g., two applications are trying to control the same target. Conflicts may indirectly affect a control target, two applications affect a first metric and a second metric, but a third metric is affected. Conflict resolution includes preventing an application onboarding, terminating operation of an application, identifying causes unrelated to the application, and suchlike. Conflict resolution can be conducted at a RAN intelligent controller (RIC).

Apparatuses, methods, and systems are disclosed for zone configuration and provisioning for Vulnerable Road User VRU protection. One apparatus includes a receiver that receives a request to create a high-risk zone, the request including an application requirement that indicates at least a target area, and a processor that determines a VRU high-risk zone configuration in response to receiving the application requirement. The apparatus includes a transmitter that transmits a first set of zone configuration parameters to at least one user equipment UE based on the determined VRU high-risk zone configuration and transmits a second set of zone configuration parameters to at least one network function in a mobile communication network.

The present disclosure relates to a communication technique for converging IoT technology with a 5G communication system for supporting a higher data transmission rate beyond a 4G system, and a system therefor. A method for supporting a network function exposure service of a terminal, according to one embodiment of the present disclosure, may comprise the steps of: transmitting, to a network entity, a first request message including information on an application programming interface (API) invocation capability of a terminal; receiving, from the network entity, as a response to the first request message, a first response message including information on whether the API invocation is allowed; and invoking the API on the basis of the information on whether the API invocation is allowed.

A medical device controller operating in conjunction with a medical device determines one or more current versions of executable code associated with one or more processors in a medical device. Medical devices may include infusion pumps, other patient treatment devices as well as vital signs monitors. The medical device controller determines one or more current versions of executable code and configuration information associated with the one or more processors in the medical device. The medical device controller further determines which of the processors in the medical device require updated executable code, and which of the processors in the medical device require updated configuration information. The medical device controller distributes to the medical device as required at least one of the updated executable code and the updated configuration information. The medical device deploys the distributed updates, and activates the updates at a clinically appropriate time.

A QoS-aware service migration method in an IoV system based on CVX deep reinforcement learning is provided. Firstly, the optimization problem of service migration and resource allocation is decoupled into two sub-problems; then, a new actor-critic-based asynchronous-update deep reinforcement learning method is designed to explore the optimal service migration, where a delayed-update actor makes decisions of service migration and a one-step-update critic evaluates the decisions to guide the direction of the policy update; and on this basis, an optimal resource allocation method for an MEC server based on convex optimization is proposed to achieve the optimal resource allocation. According to the QoS-aware service migration method, extensive experiments are conducted based on a real-world testbed and a dataset of city vehicle trajectories, thereby verifying the feasibility and effectiveness of SeMiR. Compared with benchmark methods, the SeMiR has the best performance of service migration under various scenarios.

Apparatuses, systems, and techniques to perform an API to indicate an allocation of wireless signal processing operations. In at least one embodiment, a distributed unit and radio unit perform one or more operations based, at least in part, on an indicated allocation. In at least one embodiment, a processor comprising one or more circuits performs an application programming interface (API) to indicate an allocation of wireless signal processing operations between one or more Open Radio Access Network (O-RAN) radio units (RUs) and one or more O-RAN distributed units (DUs).

Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, method, and user interface to facilitate context based augmented reality communication between multiple users over a network. Virtual content item configuration data indicative of a selection by a first user of virtual content item to apply to a real-world environment that is visible to a second user via a second device is received from a first device. The virtual content item configuration data also includes one or more criteria to trigger application of the virtual content item to the real-world environment. A triggering event is detected based on satisfaction of the one or more criteria determined from context data generated at the second device. The second device presents the virtual content item overlaid on the real-world environment that is visible to the second user based on the triggering event.

The intelligent factory data acquisition platform comprises a data sensing layer, a multi-protocol transmission layer, a data fusion layer and an application service layer, the data sensing layer is used for collecting equipment state and environment parameter multi-source heterogeneous data through various sensors, preprocessing the collected data and transmitting the preprocessed data to the multi-protocol transmission layer; the multi-protocol transmission layer is used for receiving the preprocessed data transmitted by the data sensing layer, packaging the data through a multi-protocol data transmission unit, then carrying out multi-protocol transmission, and outputting the transmitted data to the data fusion layer; the data fusion layer is used for receiving the multi-source heterogeneous data transmitted by the multi-protocol transmission layer, performing feature extraction and fusion on the heterogeneous data by adopting a self-correcting convolutional recurrent neural network, and outputting fused feature representation to the application service layer; and the application service layer is used for receiving the fusion features output by the data fusion layer, and performing equipment health diagnosis, process parameter optimization and energy consumption statistical analysis intelligent application services based on the fusion features.

A wireless device receives, from an access and mobility management function (AMF) in a first non-access stratum (NAS) message, parameters comprising a reporting configuration for a deterministic network (DetNet) node. The wireless device sends, to the AMF and based on the parameters, a second NAS message comprising a report for the DetNet node.

A wireless communication system includes an external provider subsystem and an electronic network subsystem in operable communication with the external provider subsystem. The electronic network subsystem is configured to provide a first microservice and a second microservice different from the first microservice. The wireless communication system further includes an in-home subsystem (i) separate from the external provider subsystem, (ii) in operable communication with the electronic network subsystem, and (iii) including a first micronet and a second micronet different from the first micronet. The first micronet is configured to operably interact with the first microservice, and the second micronet is configured to operably interact with the second microservice. The wireless communication system further includes at least one electronic device configured to operably connect with one of the first micronet and the second micronet.

The invention discloses a wind power generation ring forging three-dimensional design and quality management system based on 5G communication, and belongs to the technical field of wind power equipment manufacturing. The system comprises a modeling module used for constructing a parameterized three-dimensional design model and outputting design parameters used for quality evaluation and defect identification; the process data acquisition module acquires process data such as temperature, pressure and vibration of the key structure area in real time; the defect identification module fuses the image and the signal data, and outputs defect types, positions and sensitivity influences thereof; the quality evaluation module performs quantitative scoring on the product quality based on the scoring function and the disturbance response parameters; the feedback regulation and control module identifies the dominant deviation and generates a regulation and control instruction when the score is abnormal; and the 5G communication module realizes high-speed data interaction between the modules. The method realizes closed-loop control of design, manufacturing, detection and evaluation, improves the manufacturing quality and efficiency of ring forgings, and is suitable for manufacturing scenes of large-size and high-reliability wind power structural members.

Embodiments described herein relate to wireless communications, including methods and apparatus for dynamically selecting subscriber identity module (SIM) profiles, electronic SIM (eSIM) profiles, multi-SIM operating modes, and / or wireless access networks for network slice based applications of wireless devices. A wireless device can include at least two SIM / eSIM profiles and switch use of SIM / eSIM profiles, change between dual SIM operating modes, and / or select a registration mode based on requirements of one or more applications in use and availability of network slices via different wireless networks.

A method performed by a User Equipment having a first functional component implementing an enabler function. The method comprises performing an Edge Application Server (EAS) discovery to discover information regarding one or more first network functions implementing EASs as part of an initial service provisioning. The method further comprises selecting at least one first network function for implementing an initial EAS of the one or more first network functions, for providing service to a second functional component implementing application function in the UE. The method further comprises determining a second network function implementing Edge Enabler Server (EES) according to the selected at least one first network function as an initial EAS. The method further comprises transmitting, to the determined second network function, a message for triggering at least one of service session context handling and traffic influence. The message comprises an EAS endpoint of the selected initial EAS.

The invention discloses a computing power service method and device, computer equipment and a storage medium. Belongs to the technical field of network communication, and specifically comprises the following steps: in response to a computing power session establishment request which is initiated by a user terminal and carries computing power session information, sending the computing power session information to a CPCF network element, so that the CPCF network element establishes a computing power session based on the computing power session information and computing power state information of candidate computing power nodes; selecting a target computing power node from the candidate computing power nodes, and generating a computing power routing strategy based on the node type of the target computing power node; and under the condition that the target computing power routing strategy generated by the CPCF network element is obtained, providing computing power service for the user terminal through the target computing power node based on the target computing power routing strategy. According to the method and the device, not only is the flexibility of computing power node selection increased, but also the target computing power node better matched with the computing power session information can be selected based on the cooperation between the network element devices, and the computing power service efficiency and quality are effectively improved.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Systems, apparatuses, methods, and computer-readable media, are provided for selecting edge or central servers for serving client systems based on network events monitored by one or more network elements. Embodiments may be relevant to multi-access edge computing (MEC) and Automotive Edge Computing Consortium (AECC) technologies. Other embodiments may be described and / or claimed.

The invention discloses an AI service connection establishment method and device, a terminal and network side equipment, and belongs to the technical field of communication, and the AI service connection establishment method comprises the steps that the terminal sends a first request message to a network side, and the first request message is used for requesting the network side to allocate network resources for an AI service; and the terminal receives a first request response message returned by the network side, wherein the first request response message comprises at least one of the following items: information of a first network element allocated for the AI service by the network side, information of a second network element allocated for the AI service by the network side, and information of a model. In the technical scheme of the invention, the network side can allocate the communication resource and the AI resource for the AI service according to the request of the terminal, and the problem that a wireless mobile communication system cannot provide the AI service for the terminal is solved.

The embodiment of the invention discloses an offline intelligent wearable device NFC service processing scheme. Comprising the following steps: controlling an NFC card reader on the offline intelligent wearable equipment to be in a closed state; receiving an NFC service triggering instruction; entering a specified service application, and automatically switching the NFC card reader from a closed state to an open state through the specified service application; the target information is read from the target NFC machine tool through the NFC card reader in the open state, and the user information of the offline intelligent wearable device is written back to the target NFC machine tool, so that the target NFC machine tool interacts with the server side of the specified service application according to the user information and executes the corresponding target service; according to the target information, short-distance wireless communication connection with the target NFC machine tool is established, an execution result of the target service returned by the target NFC machine tool is received, and the maximum communication distance corresponding to the short-distance wireless communication connection is larger than the NFC communication distance of the target NFC machine tool.

An X-centric network architecture and associated methods are provided. The network architecture provides comprehensive control and processing functions that support heterogenous XaaS services. For different XaaS services, the network architecture supports the activation / selection of different functions / interfaces. The network architecture has a control / management (C / M) plane that includes a mission manager (MM) that manages a mission comprising tasks associated with heterogenous services. The network architecture also has a mission data plane (MDP) coupled to the C / M plane. The MDP plane includes processing functions (PFs) required for the tasks and also includes data plane functions (DPFs) that are configured to interface a PF of a XaaS service to a PF of a different XaaS service. The network architecture also has one or multiple XaaS module(s) which may be provided by third parties as plug-in module(s). Each XaaS module is associated with a XaaS service, one of multiple XaaS service controller(s) (XC), and one or multiple PF(s) / DPF(s) conducting corresponding tasks. Detail procedures, interfaces, and signals for mission execution and device accessing a mission (mission access) are described in the associated methods.

Method and apparatus for improvement of DNS configuration for applications are disclosed. A method performed at a server comprises generating Domain Name System (DNS) information; deciding whether to transmit the DNS information to a User Equipment (UE) or to a network or to both the UE and the network; and transmitting the DNS information for use with at least one application associated with the UE according to the decision.

A method for subscribing to and reporting a slice event based on an access type, performed by an Application Function (AF), includes: sending a first subscribe request to a Network Exposure Function (NEF) to request for an event report of a network slice associated with the access type; in which the first subscribe request includes access type information for indicating the access type, and the first subscribe request is used for instructing the NEF to send, to a Network Slice Admission Control Function (NSACF), a second subscribe request for subscribing to the event report requested by the first subscribe request.

A method performed by a computer-implemented controller is provided. The method includes receiving a request for managing one or more user equipments (UEs); obtaining a user-specific security profile from a first service provider; obtaining a subscriber identity module (SIM) profile from a network node or a second service provider; obtaining a set of secure access service edge (SASE) instances from the network node; building one or more UE-specific bootstrap configurations based on the user-specific security profile, the SIM profile, and the set of SASE instances; and sending the one or more UE-specific bootstrap configurations to a third service provider. The one or more UE-specific bootstrap configurations are obtainable by the one or more UEs to establish a secured wireless communication channel through a zero-trusted network.

A method, apparatus and computer program is described comprising: receiving, from a sensing client of a wireless communication system, a sensing service request including information related to a sensing service, requested by the sensing client, to be provided by the sensing management function; selecting, based, at least in part, on the information related to the sensing service, one of: monostatic sensing for the sensing service, in which a first selected radio access network node is used for transmission and reception of radio signals used for sensing, and multi-static sensing, in which one selected radio access network node is used for transmission of radio signals for sensing and one or more other selected radio access nodes are used for reception of radio signals used for sensing.

A process is defined for consumer-controllable ML model provisioning and training in a wireless communication network. The process comprises two procedures, which respectively correspond to the two phases of an ML model provisioning process in, e.g., 5GC, i.e., the preparation / provisioning phase and the training execution phase. For the preparation / provisioning phase, new parameters are added to the request from the ML model consumer to the ML model generator (e.g., NWDAF), so that the latter can conduct the ML model provisioning according to the consumer requirements. For the training execution phase, interactions between the ML model consumer and generator(s) are considered, and the corresponding procedure for a consumer controlling the ML model training execution phase is defined.

The invention discloses an acoustic imaging positioning method for intelligent monitoring of electric power engineering regional faults, which relates to the technical field of fault monitoring, and comprises the following steps: arranging a microphone array to collect sound wave signals, and monitoring and recording sound data in real time; determining the spatial position of a sound source by using an ultrasonic sound source positioning technology; sound source distribution generated by the equipment fault is displayed; displaying the relationship between the three-dimensional position of the equipment fault point and the surrounding environment; fault sound sources are classified, and types and reasons are determined; a diagnosis result is fed back in real time, a fault position is displayed, and inspection and repair suggestions are provided; and detecting the health condition of the equipment in combination with a machine learning model, predicting potential faults and giving out early warning. According to the invention, a high-precision microphone array and an ultrasonic sound source positioning technology are utilized, the distribution state of a sound source in a space is displayed in real time through an imaging mode of superposing an acoustic image and a visible light image, a partial discharge point, a gas leakage point and an equipment abnormal sound site are rapidly determined, and the inspection efficiency and the maintenance speed are improved.

Methods and apparatuses for edge application service are disclosed. According to an embodiment, an application function (AF) sends, to a network exposure function (NEF), a request for performing an operation related to edge application server (EAS) deployment information for an application. The request is for creating, or updating, or deleting EAS deployment information. The AF receives, from the NEF, a response to the request.