895 results about "Network configuration" patented technology

The invention relates to a TSN network configuration automatic generation method and system based on an anti-Agent. The system is composed of a network state perception and intention reflection module, a YANG model configuration parameter and structure decision module and a YANG model intelligent generation module. The network state sensing and intention reflecting module is responsible for structurally sensing the network state and resource information, the YANG model configuration parameter and structure decision module fuses multi-source knowledge and context information, intelligently generates deployable TSN scheduling parameters and a YANG configuration structure for service requirements, and sends the TSN scheduling parameters and the YANG configuration structure to the network state sensing and intention reflecting module. And the YANG model intelligent generation module automatically generates a corresponding YANG configuration model according to an optimized result, and issues the YANG configuration model to target equipment after completing grammar and semantic verification, so that automatic deployment of network configuration is realized. According to the method, the intellectualization level of TSN network configuration and the deployment automation capability are remarkably improved by introducing the reflection reasoning and feedback optimization technology.

The invention provides a general electromechanical transient modeling method and system for a network-building converter, and relates to the technical field of electromechanical transient modeling, and the method comprises the steps: simplifying the electromagnetic transient models of network-building converters of different topologies into a grid-connected equivalent circuit of an electromechanical transient time scale; uniformly representing by using an internal potential series reactance model controlled by a power outer ring so as to establish an electromechanical transient general grid-connected interface model of the grid-forming converter; combining mathematical transformation of active power control with a reactive power control mode to form a general power outer loop control model of the network construction type converter; through a method based on internal potential reconstruction, reconstructing a new internal potential satisfying a current limiting constraint, and establishing a general current limiting model suitable for a network construction type electromechanical transient model; according to the method, various topological structures, various power outer loop control and various current limiting strategies can be simulated, flexible use of models in large-scale power system simulation is facilitated, and the complexity of model development and maintenance is reduced.

Aspects of the subject disclosure may include, for example, generating network configuration data for a network device according to device information of a vendor; providing the network configuration data to an Artificial Intelligence (AI) analysis platform that applies an AI model to the network configuration data based at least in part on topology data resulting in a configuration analysis, wherein the configuration analysis evaluates the network configuration data and generates at least one of rating information, adjustment information or a combination thereof. The rating information can include a security rating, a risk rating and / or an efficiency rating. The adjustment information can include a recommendation for changing at least a portion of the network configuration data for the network device.

This disclosure is generally directed to wireless communication systems and methods and relates particularly to a mechanism for implementing an artificial intelligence framework for adaptively configure the over-the-air communication interfaces of the wireless communication systems. AI network configuration functions may be provided as services for AI-assisted network configuration (AI configuration services, or AICS). Such AICS may be requested and configured via various messaging and signaling mechanisms. The AI model life cycle management including training, delivery, activation, inference, deactivation, switching, performance evaluation, and the like may be configured, triggered, and otherwise provisioned via control and data messages and signaling communicated between the various network elements in the wireless communication system.

The invention belongs to the field of stability analysis of a grid-connected system of a grid-building converter, and particularly relates to a grid-building converter grid-connected resonance risk analysis method considering virtual impedance, which comprises the following steps: S1, establishing a three-phase time domain differential equation and simplifying the equation into a single-phase equivalent time domain model; converting into a harmonic state space model of the main circuit; s2, constructing a harmonic state space model of a control system comprising an active power control loop and a reactive power control loop; s3, introducing a virtual impedance control link, and correcting the voltage amplitude reference phasor output by the reactive power control loop; deriving an expression of a modulation signal disturbance phasor; s4, obtaining a complete frequency domain admittance model YGSC of the network construction converter considering the influence of the virtual impedance; an open loop gain TGFM of the grid converter grid-connected system is constructed; and S5, drawing a Nyquist curve based on TGFM, and carrying out resonance risk determination. According to the method, the interaction dynamic characteristics of the network building converter and the power grid under the influence of the virtual impedance can be accurately represented, and the resonance risk of the grid-connected system is evaluated.

Provided in the present invention is a method for CLI measurement report transmission performed by a user equipment, including: when the user equipment is configured by a network to transmit a CLI measurement report on the basis of a CLI measurement event, determining, on the basis of a CLI measurement result acquired by performing CLI measurement, whether there is a CLI measurement resource satisfying an entering condition of the CLI measurement event among CLI measurement resources corresponding to the CLI measurement result; and when the number of CLI measurement resources satisfying the entering condition of the CLI measurement event reaches a numerical threshold for reporting, transmitting a CLI measurement report to the network, the CLI measurement report comprising indication information related to the CLI measurement resources satisfying the entering condition of the CLI measurement event.

A computing system and method are disclosed for converting network configurations across different platforms using a language model. This system preprocesses a source network configuration from a first network platform, generates a prompt based on the preprocessed source network configuration and additional network data for input to the language model. In response to the prompt, the language model converts the source network configuration into a target network configuration for a second platform, ensuring that common configuration elements are preserved while unsupported protocols are adapted to supported alternatives on the second network platform. The system outputs the converted configuration, facilitating seamless network migration with minimal, or no, manual intervention. Additional features include the ability to receive and process active device states and network diagrams, suggesting alternative solutions for unsupported protocols, validating the target configuration against the second platform's specifications, and interacting with users to refine the conversion based on their input.

The invention discloses a micro-grid off-grid operation distributed control method based on consistency cooperation, belongs to the field of new energy micro-grid control, and aims to solve the problems of high single-point fault risk and single control target of existing centralized control. The method is operated in a three-layer architecture formed by a distribution network master station control layer, a micro-grid coordination control layer and an equipment distributed coordination control layer, a distributed communication network is constructed through edge agents, and weight coefficients and security constraints are configured; the edge agent receives a master station total power target, collects and interacts equipment data, calculates and limits amplitude to obtain a final power instruction based on a consistency updating law fusing global power difference distribution, energy storage SOC balance and system loss minimization, and then decomposes the final power instruction into equipment-level instructions to be issued and executed. According to the method, a single-point fault is eliminated, multi-target collaborative optimization is realized, control is simplified, expansibility is high, and power balance and stable and efficient operation when the micro-grid is off-grid are effectively guaranteed.

Embodiments here in disclose a method and system for network configuration generation using a network digital twin (NDT) comprising a spatio-temporal graph neural network (STGNN) for performance-based simulation in a communication network system is disclosed. A simulation request is received from a management service (MnS) consumer, including network parameters related to live network nodes. Performance data is retrieved from a management server, and performance is assessed against a performance threshold. Multi-domain telecom data is processed using a spatio-temporal graph neural network (STGNN) by a feature fusion attention mechanism, trained via a hybrid feedback loop with real and synthetic data. Upon meeting performance thresholds, a configuration recommendation is generated by a configuration recommendation engine, including an explanation and confidence value. The configuration recommendation is transmitted to the MnS consumer, enabling network automation without altering the live network directly.

An example method may include receiving first configuration data associated with a network device, the first configuration data comprising a Yet Another Next Generation (YANG) payload; determining a first subset of the YANG payload that is associated with a first network configuration database; determining a first database transaction, wherein the first database transaction represents one or more database updates to the first network configuration database that is determined based on a first state of the network device and one or more configuration requirements represented by the first subset; discarding the first database transaction; determining second configuration data based on the first database transaction, the second configuration data comprising a command line representation (CLI) of the YANG payload; and providing the second configuration data to a system, the system configured to display the command line representation to a user.

The invention discloses a configuration method and system for a network-constructing type energy storage system for suppressing broadband oscillation, and relates to the technical field of new energy power generation grid connection and power system stability control. The invention aims to solve the problems that broadband oscillation is easily caused when a new energy field station is connected into a weak power grid, an existing suppression method affects equipment characteristics or needs additional investment, and netting type energy storage locating and sizing lacks scientific guidance. The method comprises the following steps: firstly, simplifying a system comprising a new energy station, a constructed network type energy storage system and a power grid, then carrying out impedance modeling on the two systems (reserving complete impedance characteristics of energy storage), and judging the stability through an impedance analysis method; and the optimal capacity is determined at a single position, and then the global optimal capacity and the corresponding position are determined by traversing the positions, so that low-cost broadband oscillation suppression is realized.

A processing system including at least one processor may obtain a client intent for a network service in a communication network. The processing system may next apply an input vector comprising the client intent to a generative machine learning model to obtain an output of the generative machine learning model comprising a network configuration. The processing system may then reconfigure the communication network according to the network configuration.

A non-transitory computer readable medium stores instructions that, when executed by a processor, cause the processor to receive data associated with a plurality of simulated cyberattacks on a virtual operational technology (OT) network, wherein the virtual OT network comprises a virtualized representation of an OT network based on configuration data of the OT network, identify, based on the received data, one or more cybersecurity vulnerabilities of the OT network, identify one or more modifications to a set of cybersecurity rules implemented in the OT network to address the one or more cybersecurity vulnerabilities of the OT network, provide an indication of the one or more modifications to a computing device associated with the OT network for approval; and update, via a third-party network security service utilized by an operator of the OT network, the set of cybersecurity rules to implement the one or more identified modifications.

Some embodiments provide a method of executing a distributed application with multiple EPUs that perform computations for the distributed application. The method receives, at a set of one or more scheduling servers, API commands expressed in a first programming layer and related to computations assigned to a set of EPUs and a set of forwarding criteria specifying a manner for forwarding results of the assigned computations among the EPUs in the set. The method generates, from the API commands, a set of network configuration data expressed in a second networking layer that is for configuring forwarding elements of a network to forward the results according to the specified set of forwarding criteria. The generation includes translating programming layer identifiers of EPUs and forwarding operations to networking layer identifiers needed to forward the results to destinations in the network. The method distributes the generated configuration data to multiple forwarding elements that form a network to configure the forwarding elements.

Provided in the embodiments of the present disclosure are a chip management network configuration method, a chip management network system, a computing device, a storage medium and a computer program product, which are applied to a target chip. The target chip comprises a plurality of different types of chiplets, each chiplet containing one or more modules and being configured with a management network configuration serial number, and the management network configuration serial number being configured on the basis of the type of the chiplet and its encapsulation position in the target chip. The chip management network configuration method comprises: acquiring architecture information of the target chip, at least comprising the management network configuration serial numbers configured for the chiplets; on the basis of the architecture information of the target chip, dividing a preset address space into a plurality of sub-configuration spaces; and, on the basis of the management network configuration serial numbers, allocating corresponding sub-configuration spaces among the plurality of sub-configuration spaces to the target chip and each chiplet in the target chip, wherein the sub-configuration spaces allocated to the modules contained in each chiplet are different.

Disclosed examples determine a first time corresponding to a start of a window for a data exchange; determine a second time corresponding to a data packet sent during the window; calculate link performance data based on the first time and the second time; and transmit the link performance data to a network configuration entity.

A method for performing wireless communication by a first device, and an apparatus supporting same are provided. The method may comprise the steps of: transmitting, to a base station, information related to a sidelink (SL) positioning group; receiving, from the base station, information related to an SL positioning reference signal (PRS) resource; and transmitting or receiving an SL PRS on the basis of the SL PRS resource, wherein the SL PRS is a reference signal for positioning performed between multiple devices in the SL positioning group, and the SL PRS resource is configured on the basis of the information related to the SL positioning group.

The invention discloses a cross-virtual private cloud network scheduling method based on a cloud computing infrastructure, a cross-virtual private cloud network scheduling system based on the cloud computing infrastructure, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining network configuration information of a virtual private cloud; establishing a cross-virtual private cloud access channel according to the network configuration information, wherein the access channel comprises a peer-to-peer connection channel and a terminal node channel; configuring an address translation rule and a routing rule for the access channel; and carrying out forwarding and access control on the network access flow among the applications and / or the computing resources in the virtual private cloud according to an address conversion rule and a routing rule. Uniform configuration and dynamic management of the network access path are realized while independence of each virtual private cloud is kept, so that the access relationship across the virtual private cloud is clearer, configuration is more concentrated, operation and maintenance are more simplified, and interconnection flexibility and manageability in a cloud multi-network environment are improved.

The invention discloses a network construction type converter pre-synchronization control method based on Taylor compensation, and the method comprises the steps: collecting the three-phase voltage of an output end of a virtual synchronous generator (VSG) and the three-phase voltage of a power grid side, carrying out the Clark transformation, and extracting a positive sequence voltage component; on the basis of the positive sequence voltage component, calculating a phase difference sine value of the VSG output voltage and the power grid voltage; based on the phase difference sine value, compensating the phase difference sine value through Taylor expansion to obtain a compensated real-time phase difference; and fusing the compensated real-time phase difference into a VSG phase-locked loop-free pre-synchronization control strategy, and driving a PI regulator to dynamically correct the output frequency and phase of the VSG. A phase-locked loop is completely abandoned, and the frequency oscillation risk is eliminated; expanding a phase difference calculation range through third-order Taylor compensation; voltage vector analysis and a dynamic compensation function are fused, phase synchronization is achieved, and grid-connected impact current is reduced.

The invention discloses a water regimen data acquisition dual-machine redundancy method and system, and the system comprises a main machine and a standby machine which are directly connected through an independent heartbeat interface. The main machine periodically sends heartbeat messages and local network configuration information to the standby machine through a heartbeat interface; and the standby machine monitors heartbeat in real time, judges that the main machine is abnormal once not receiving the heartbeat within a preset time, automatically takes over the IP address of the main machine, actively sends an address resolution protocol message according to pre-stored network configuration information so as to quickly update a forwarding table of the network equipment, immediately switches the state of the standby machine to be the main state, and synchronizes the state to a database. According to the method, automatic sub-second fault switching is achieved, the risk of key data loss is greatly reduced, continuity and integrity of water regimen telemetering data are guaranteed, meanwhile, the operation load of a background database is remarkably reduced through a main and standby mode, and the reliability of water regimen telemetering is improved. The problems that the load of the database is too heavy and automatic seamless switching of network channel data acquisition cannot be realized are solved.

There is provided an apparatus arranged to: receive, from a configuration controller, a request for feedback on a network configuration in a communications network; request feedback on the network configuration from a plurality of network critic functions; aggregate feedback received from at least part of the plurality of network critic functions in response to the request; and provide the aggregated feedback to the configuration controller.

This application discloses a method and apparatus for constructing a multi-scale adaptive gating MambaPlus network, belonging to the field of artificial intelligence and machine learning technology. The method includes: initializing the network configuration and constructing the basic structure; preprocessing the input data to generate a standard dataset; mapping the input data to the hidden space via an input mapping layer, and extracting backbone features from the Mamba backbone; constructing at least two parallel scale branches in the hidden space to obtain a multi-scale feature set; inputting the backbone features and multi-scale features into an adaptive gating module, dynamically allocating weights and adaptively fusing them through a hierarchical gating mechanism to generate fused features; further enhancing the features through cross-scale attention and feedforward enhancement, and then superimposing the residuals to generate the final discriminative features; finally, completing category prediction and model training evaluation. This application, while retaining the advantages of Mamba's long-range dependency modeling, addresses the problems of insufficient utilization of multi-scale information, poor adaptive feature fusion, and low robustness in complex scenarios.

The invention provides an equipment distribution network environment detection method, electronic equipment and a medium, and the method determines the network environment condition of a wireless network based on the network environment parameters of the wireless network and the corresponding network environment detection conditions through responding to the establishment of wireless network connection between a mobile terminal and a target router. According to the invention, the network distribution success rate is greatly improved.

The invention provides a network construction type electromagnetic scale stabilization control method and system based on a phase compensator, and relates to the technical field of phase compensators, and the method comprises the steps: obtaining the virtual damping torque of each link of a network construction converter grid-connected system; identifying a system electromagnetic oscillation leading link based on the virtual damping torque of each link; constructing a second-order lead phase compensator, and designing a controller structure of the second-order lead phase compensator; calculating a phase lag angle and a margin of the electromagnetic oscillation dominant link, and calculating a phase compensation angle of a second-order lead phase compensator according to the phase lag angle and the margin; parameters of a second-order lead phase compensator are set according to the phase compensation angle, and net-building type electromagnetic scale stabilization control is carried out based on the second-order lead phase compensator after parameter setting and an electromagnetic oscillation leading link; the electromagnetic oscillation problem in traditional control is solved, and the electromagnetic oscillation stability of the system is improved.

A unit equipment (UE) configured to establish a protocol data unit (PDU) session including one or more quality of service (QoS) flows and multiple data radio bearers (DRB) for communications with a network, decode, from signals received from the network, or determine an initial mapping table for a QoS flow to DRB mapping based on a network configuration of mapping parameters, decode, from signals received from the network, or determine information regarding current or upcoming traffic on the one or more QoS flows or one or more DRBs, and configure transceiver circuitry to transmit an indication to the network based on the information regarding current or upcoming traffic on the one or more QoS flows or one or more DRBs.

A system includes one or more processors and memory. The memory stores instructions for execution by the one or more processors, including instructions for: obtaining a configuration request for a communications network; configuring a network of models (e.g., oscillators or oscillators'settings) into an initial configuration representing the configuration request for the communications network; reading out a final configuration of the network of models, the final configuration representing a solution to the configuration request for the communications network; and providing information over the communications network according to the configuration request.

The present application relates to channel state information (CSI) signaling and computing. In an example, a network configures a user equipment (UE) with multiple CSI configurations including a CSI Type I configuration and a CSI Type II configuration. Based on a set of factors, the network and / or the UE can dynamically determine the CSI configuration from among the multiple CSI configurations that is most suitable to use. When generating a CSI report, this CSI configuration is used. Further, in the case of the CSI Type II configuration being used for the CSI report, the UE can use information derived from using the CSI Type I configuration to reduce the complexity of the CSI Type II computations.

A user equipment (UE) includes a transceiver and a processor configured to transmit, via the transceiver to a network, UE capability information that corresponds with performance monitoring for artificial intelligence (AI) model-based channel state information (CSI) compression at the UE. In accordance with the UE capability information, the processor is configured to receive, via the transceiver and from the network, configuration and activation instructions for performing the AI model-based CSI compression and a network configuration on assisted information for the performance monitoring. The processor is configured to monitor performance of the AI model-based CSI compression in accordance with the received UAI configuration, and based on the monitored performance of the AI model-based CSI compression, transmit, via the transceiver to the network, a preference of the UE for the AI model-based CSI compression.

The embodiment of the invention provides a network configuration change method and device and a storage medium, the method is applied to an operating system providing networking service, the operating system comprises a control plane and a data plane, and the method comprises the following steps: acquiring network configuration change information corresponding to a target network through the control plane; generating a plurality of sequentially executed network configuration change tasks corresponding to the network configuration change information in the control plane; in response to execution of the target network configuration change task in the control plane, network connectivity detection of the target network is started in the data plane, and the target network configuration change task is a network configuration change task configured with a network connectivity detection trigger node; and determining the network state of the target network after the network configuration change according to the network connectivity detection result. According to the scheme, through linkage of the control plane and the data plane, network connectivity detection of the data plane is automatically triggered, network abnormity can be sensed in time, and the stability of a target network is improved.

The invention discloses a power distribution terminal automatic test method and system based on a distribution network semantic knowledge graph. The method comprises the following steps: acquiring operation data of a power distribution terminal and reading of an environment sensor, performing entity alignment and relation mapping, and generating a multi-modal data set with semantic annotation; extracting association features of semantic entities by using a random forest algorithm in combination with semantic constraints, and constructing a semantic relationship matrix with weight attributes; determining the interference degree of the environmental factors to the entity association, and adjusting the elements of the relation matrix according to the interference degree; and generating a test scene behavior sequence in combination with topological constraints in the knowledge graph, performing fault point prediction by adopting a graph neural network algorithm, positioning a coordinate set based on a problem of probability labeling, identifying an uncovered interaction relation path, and generating a multi-dimensional test coverage evaluation report containing semantic description. According to the scheme, the cooperative work mechanism is evaluated from the system level, the accuracy of the test result in the actual operation environment is improved, and the test coverage range is increased.