8100 results about "Network element" patented technology

Techniques for mobile network information sharing via extended Berkeley Packet Filter (eBPF) for zero trust security are disclosed. In some embodiments, a system / process / computer program product for mobile network information sharing via eBPF for zero trust security includes monitoring network traffic in a core mobile network using an agent executed on a network element in the core mobile network to identify a session associated with a User Equipment (UE) that attached to the core mobile network for mobile network communications; extracting meta information associated with the session using the agent executed on a network element in the core mobile network; sending the extracted meta information to a security platform located outside of the core mobile network; and enforcing a security policy on the session at the security platform based on the extracted meta information to apply granular-based security in the core mobile network based on a security policy.

Computer-implemented methods and systems make a generative AI system more explainable. A programmed computer system grows a generative AI system by adding one or more explainable network elements to the generative AI system. Each explainable network element can be trained to discriminate two or more explainable sets of training data items for the generative AI system. After adding the one or more explainable network elements, training of the generative AI system can be updated with the one or more explainable network elements added. Then the programmed computer system can determined whether continued growth of the generative AI system is required.

The invention provides an SLA demand-oriented computing network multi-element fusion arrangement method, which comprises the following steps of: matching a demand timeliness priority queue with a directed acyclic graph of container arrangement, and searching an arrangement scheme with optimal resource utilization efficiency and most balanced load by applying a dynamic planning method to form an initial arrangement decision; in combination with a preset calculation network element arrangement strategy template, dynamic selection and adjustment are carried out according to actual conditions, including selection of an arrangement strategy with a preferential resource utilization rate in a service peak period and selection of an arrangement strategy with a preferential cost in a service valley period; and recording and analyzing various calculation network elements generated in a container arrangement process, including resource occupation, starting time, a dependency relationship and an arrangement decision, and optimizing a resource prediction and scheduling algorithm according to historical data.

The invention discloses a network management computing power session method and system based on 6G communication, sensing and computing integration, belongs to the technical field of mobile communication, and aims to solve the technical problem of how to realize flexible scheduling and on-demand distribution of computing power and network convergence resources in a 6G communication, sensing and computing integration network environment under the condition of not changing network equipment. A mobile network environment supporting a computing power-as-a-service mode is constructed for a user, and the adopted technical scheme is as follows: the method comprises the following steps of: deploying a computing network integration sensing network element, a computing network integration control scheduling network element and a computing network integration service arrangement network element on a core network side, so that the improved core network has a communication, sensing and computing power integration function; and through analysis and identification of computing power application request indexes, computing power business arrangement, computing power and network Qos configuration mapping, decision making and scheduling of computing network fusion resources, distributed cooperative computing tasks are issued, so that computing power session creation is completed, and different computing power requirements of the mobile terminal are met.

The invention provides a multi-modal multi-scale feature fusion-based power load prediction method and system, and relates to the technical field of power load prediction. According to the method, a cross-modal attention mechanism is adopted to fuse multi-scale load time sequence features and satellite image features; decoding the fusion features through a multi-step prediction decoder to obtain a multi-step power load prediction result; the acquisition mode of the satellite image features comprises the following steps: performing feature extraction on a satellite image based on a GRVT model to obtain the satellite image features; the GRVT model includes a number of stacked gated residual encoder network elements. According to the method, satellite image feature extraction is carried out based on the GRVT model, the global information processing advantage of Transform is utilized, the single-layer information retaining capability of a residual connection mechanism is also utilized, the two are combined to efficiently extract satellite image features, the satellite image features are fused during power load prediction, and the situation that the data type is single, and the prediction efficiency is high is avoided. And the precision of power load prediction is improved.

The invention discloses an auto-filling method and device of a northbound FTP (File Transfer Protocol) performance file for a telecommunication network management system. The method comprises the following steps of: setting the granularity state of granularity of performance data according to the reported time of the performance data from a foreground network element by a performance loading module of the telecommunication network management system; when the performance loading module receives information reported subsequently by the foreground network element, wherein the information contains the performance data, if judging that the granularity of the performance data is in a completed state according to the set granularity state, then sending filling information containing the performance data to a northbound FTP performance module; and carrying out the processing that the performance data is filled to a previously generated northbound FTP performance file with the granularity by the northbound FTP performance module according to the filling information. Through the auto-filling method, the information reported by the foreground network element is analyzed to judge whether the northbound FTP performance file is complete or not, and the auto-filling of the performance data is carried out when the judgment result is that the northbound FTP performance file is incomplete.

The invention relates to a data service method, a data service management function network element and a communication system, and relates to the technical field of communication. The data service method is executed by a data service management function network element, and comprises the following steps: receiving a data service request; determining a data service executor according to the data service request; one or more data service tasks are sent to the determined data service executor, and the one or more data service tasks are determined according to the data service request; receiving data service feedback information from the data service executor; and sending the data service feedback information to the data service requester.

The present disclosure relates to method and apparatus for selecting an edge application server, and element network device, user equipment and storage medium. The method includes: a user equipment receiving first indication information, which is sent by an SMF, wherein the first indication information is used for indicating the priority of domain name system (DNS) information; and the user equipment making a DNS policy decision according to the first indication information, and sending a DNS query request to an EASDF, wherein the DNS query request is used by the EASDF to execute the discovery or selection of an edge application server (EAS).

A secure communication method includes receiving, by a first network element, first information and a first signature from a network management network element. The first signature is generated based on a private key of the network management network element and the first information, and the first information is used to describe the first network element. The method also includes sending, by the first network element, the first information and the first signature to a certificate issuing network element. The first information is used to obtain a first certificate, and the first certificate is used to prove an identity of the first network element. The method further includes receiving, by the first network element, the first certificate from the certificate issuing network element.

The invention discloses a power grid strength evaluation method and device, equipment, a medium and a product, and relates to the field of power system dynamic stability, and the method comprises the steps: building admittance and impedance models of all power supplies and network elements of a system in the impedance modeling process of the power system; the admittance and impedance model comprises a power supply admittance matrix, a power supply impedance matrix, a network node admittance matrix and a network node impedance matrix of all power supplies; based on the admittance and impedance model, establishing a whole-system closed-loop admittance matrix according to a closed-loop feedback relation between equivalent voltage disturbance and equivalent current disturbance of all buses; based on the closed-loop feedback relationship, defining a source network voltage interaction stability boundary representing the power grid strength according to the sensitivity of the system characteristic value to a source network voltage transfer function; and positioning a power grid strength weak area according to the source network voltage interaction stability boundary, and improving the power grid strength. According to the method, the oscillation risk caused by interaction of the control loops in the converter can be described.

A network element evaluates performance of a first AI / ML model being used by a UE. The network element sends, based on the evaluation, configuration to a network entity involved in performing model retuning of the first AI / ML model to aid in the model retuning. The network element monitors and evaluates performance of a second AI / ML model that is a retuned version of the first AI / ML model. The first and second AI / ML models are from a same lineage of AI / ML models. The network element stores, in response to the evaluation of the second AI / ML model, the second AI / ML model for use by other UE(s). A UE receives the configuration, and performs operation(s) to aid in the performing retuning. The retuning creates a second AI / ML model that is a retuned version of the first AI / ML model. The UE switches from the first AI / ML model to the second AI / ML model.

A first network element (a training data collection network element) receives first information from a second network element (an AI model training network element), the first information being for determining validity of candidate training data collected by the first network element. The first network element collects candidate training data of an AI model, and determines the validity of the candidate training data based on the first information. When the candidate training data is valid, the first network element sends valid candidate training data to the second network element, but does not send invalid candidate training data. When there is no valid candidate training data, the first network element indicates, to the second network element, that the training data collected this time is invalid, and does not send the candidate training data collected this time to the second network element. Waste of air interface resources can be reduced.

The invention relates to the technical field of data processing, provides a strategy selection method for node backup in a multi-domain network, and solves the problem that an existing backup management method cannot effectively deal with complex resource distribution in the multi-domain network. A weighted undirected graph is used for representing a network structure, a multi-domain network model is trained, a random forest algorithm is used for evaluating storage network element node attributes, node priority ranking is determined, reasonable allocation of backup tasks is achieved, and in the task allocation process, node resource use conditions are monitored in real time, and a backup strategy is dynamically adjusted. According to the method, the backup efficiency and the data reliability are improved, the storage and calculation cost is reduced, and the method is suitable for large-scale enterprise cloud environments, financial institution cross-domain data backup and other scenes.

The present disclosure describes methods, system, and devices for transmitting quality of service (QoS) information via a user plane. One method includes transmitting, by a first network element, first QoS information to a second network element by: transmitting, by the first network element, a data packet via user plane to the second network element, wherein the data packet comprises the first QoS information. Another method includes receiving, from a first network element by a second network element, first QoS information by: receiving, by the second network element, a data packet via user plane from the first network element, wherein the data packet comprises the first QoS information.

This application discloses a method and an apparatus for determining a candidate member, and a device. The method for determining a candidate member in embodiments of this application includes: receiving, by a first network element, a request message sent by a second network element, where the request message includes filter information; determining, by the first network element based on the filter information, one or more first devices as candidate member(s) able to participate in federated learning; and sending, by the first network element, a response message to the second network element, where the response message includes an identifier of the candidate member, and the filter information includes at least one of the following: a time window, an algorithm type, an accuracy threshold, a wireless access type, a signal quality requirement, a traffic range, member type information, quantity information, area information, and federated learning type information.

The invention discloses an underground pipe network construction drawing generation and verification method and system based on image recognition, relates to the technical field of construction drawing verification analysis, and solves the technical problem that in the verification process, detection of pipe network element integrity and space conflicts is not comprehensive and efficient enough. According to the method, extracted pipe network element data is compared with original design data element by element, verification is carried out from element types, number, attributes and other dimensions, whether a construction drawing is complete or not can be rapidly and accurately judged, missing or wrong elements can be found in time, and a minimum rectangular bounding box and a three-dimensional projection overlapping judgment algorithm are utilized to judge whether the construction drawing is complete or not. According to the method, the space conflicts among the pipe network elements can be efficiently detected, the conflict detection efficiency and accuracy are improved, the overlapped elements are classified according to the elastic modulus of the element material, the hard and non-hard overlapped elements are subjected to targeted analysis, whether design conflicts exist or not can be judged, and a more scientific basis is provided for design optimization.

A system and method, the method including determining, by a centralized user configuration function based on a core network packet delay budget (CN PDB) and a buffer duration, an allowed maximum latency of a time-sensitive network (TSN) stream transmitted between an access network device and a user plane network element, wherein the maximum latency does not exceed a difference obtained by subtracting the buffer duration from the CN PDB, sending, by the centralized user configuration function, first latency information to a centralized network configuration function, wherein the first latency information indicates the maximum latency, receiving, by the centralized user configuration function, first configuration information, wherein the first configuration information indicates a packet transmission time of the transmit end of the TSN stream, and the packet transmission time is associated with the maximum latency, and sending the first configuration information to the transmit end of the TSN stream.

The present disclosure relates to the technical field of communication network operation and maintenance. Provided are a key-indicator-based core network anomaly identification method and apparatus, and an electronic device. By taking a network element type and a pool as an aggregation unit, dimensionality reduction is performed on multi-dimensional key indicators of network elements to obtain three-dimensional key indicators for easy visualization; and key indicators of all network elements in a network element pool are input on the basis of pool relationships, such that the capability of horizontal comparison of features across multiple network elements and multiple indicators can be provided, and anomaly analysis is then performed on three-dimensional data by means of a clustering algorithm, so as to find and obtain outliers representing anomalies, and thus, related information can be extracted from the outliers to generate a three-dimensional clustering view, and results such as an anomalous network element list, anomaly time, a complete KPI record and the clustering view are returned. The disclosure can realize quick locating of anomalies of a core network, and significantly improves the effect of multi-dimensional indicator analysis and the accuracy of anomaly detection, thereby facilitating early intervention and early troubleshooting of network problems, and thus ensuring stable and normal network operation.

A method for dynamically improving monitoring miss resolution comprises obtaining an incident report describing a monitoring miss, wherein the monitoring miss is associated with an outage in the communication system that has not yet been resolved, adding, by the incident reporting application, a flag to the incident report, wherein the flag indicates that the incident report is associated with one or more monitoring misses in the communication system that have not yet been resolved, extracting identification data identifying the outage in the communication system from the incident report, wherein the identification data comprises an identification of one or more network elements (NEs) at which the outage has occurred, and obtaining, based on the identification data, incident data describing a context of the outage in the communication system to identify a cause of the monitoring miss.

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.

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 invention belongs to the technical field of communication, and particularly relates to a directional traffic service guarantee method of a PCC self-intelligence network based on an AI agent. Comprising the following steps: an AI identifies a live broadcast application and issues a policy control and charging PCC rule; service experience detection: the NWDAF receives user flow data, and the NWDAF continuously monitors the experience quality of the live broadcast service; establishing a service awareness baseline: establishing the service awareness baseline for different live broadcast applications through AI learning: based on a user level signing protocol, analyzing experience class data of a service flow in combination with a network element; according to the experience class data analysis result of the service flow, when the service experience index is lower than the service awareness baseline, the definite positioning analysis is carried out, then a dynamic guarantee mechanism is triggered according to needs, and oriented dynamic QoS optimization is carried out on a user network. According to the invention, the problems of network congestion and network resource waste of the PCC self-intelligence network are solved.

The invention provides a roaming place dynamic signing method, device and equipment under a 5G network and a medium, and relates to the technical field of communication. The method comprises: acquiring a target data network identifier, the target data network identifier being issued by an access and mobility management function network element after a user equipment initiates a session request to the access and mobility management function network element in a core network, the user equipment completes private network service signing in the roaming place and is located in a private network service area of the roaming place; determining a private network distribution rule matched with the target data network identifier; and issuing the private network offloading rule to a user plane function network element in the core network, the private network offloading rule being used for the user plane function network element to establish an offloading session with the user equipment, and the offloading session being used for the user equipment to access a private network provided by the private network service in the private network service area. According to the method and the device, the problem that foreign users cannot conveniently access private network services provided in a private network area range of a visited place can be solved.

This disclosure relates generally to a method, device, and system for congestion control in a wireless network. One method performed by a first network element is disclosed. The method may include: providing, to a second network element, a first discard indication indicating a list of PDUs or a list of discarded PDU sets, each discarded PDU set in the list of discarded PDU sets comprising a list of PDUs, wherein the first discard indication triggers the second network element to discard the list of discarded PDUs or the list of discarded PDU sets; or providing, to the second network element, a second discard indication indicating that a PDU is discarded or a PDU set is discarded, wherein the second discard indication triggers the second network element to discard the PDU or the PDU set.

Application and network tests executed for paths between endpoints and an application are proxied to reduce network traffic sent to application as part of synthetic testing. Testing for each endpoint behind a network element or security component acting as a test proxy for a path between the endpoint to the application is split into two segments: a segment from each endpoint to the test proxy, and a segment from the test proxy to the application. A service obtains test results from agents executing on the endpoints and the test proxy and “stitches” the results of each segment together to generate test results for the path from endpoint to application. Stitching refers to aggregating, combining, or otherwise joining the results obtained for each path segment to generate a set of test results for the path. The manner of stitching can vary depending on test type and / or types of performance metrics collected.

The invention provides a communication method and device, and the method comprises the steps: a label management function network element sends first information to a network warehouse function network element, and the first information comprises the information of an area corresponding to the label management function network element; a first checking request is received, the first checking request carries information of a target area, and the target area belongs to an area corresponding to the label management function network element; determining a first device serving a target reader-writer corresponding to the target area; and sending a second checking request to the first device. Through the technical scheme provided by the invention, network addressing from the requester to the reader-writer can be realized.

The invention provides a light splitting link fault sensing and early warning method, which comprises the following steps of: accessing flow among upstream user plane network elements to downstream deep packet inspection equipment through intermediate equipment, acquiring the flow among the user plane network elements through the deep packet inspection equipment, and detecting and analyzing a user plane flow data packet; analyzing the single user plane flow data packet to obtain an outer-layer IP pair and an inner-layer quintuple, judging whether an inner-layer protocol in the inner-layer quintuple is TCP protocol data, and if so, recording the flow direction of the outer-layer IP pair of the user plane flow data packet; counting the uplink / downlink traffic of the outer IP pair of the user plane traffic data packet recorded in the detection period, and generating a traffic statistical information table; and judging whether the uplink flow or the downlink flow of the outer-layer IP pair in the flow statistical information table is 0, and if so, carrying out link fault early warning. According to the sensing and early warning method for the light splitting link fault, the light splitting link fault of the upstream equipment can be sensed when the condition of the upstream light splitting link is unknown.

A packet transmission method, including receiving, by a session management function network element, first access network tunnel information and second access network tunnel information that correspond to a first service, and sending a downlink forwarding rule to a user plane function network element, where the downlink forwarding rule includes the first access network tunnel information and the second access network tunnel information, and the downlink forwarding rule indicates the user plane function network element to replicate a received downlink packet of the first service, and send downlink packets of the first service through two paths respectively corresponding to the first access network tunnel information and the second access network tunnel information.

The invention discloses a pipe burst analysis method and system for a multi-water-source complex water supply pipe network, and the method comprises the steps: building a pipe network diagram based on a pipe network physical structure, and building an undirected adjacency list, a forward adjacency list and a reverse adjacency list for each pipe point; valve distribution at the two ends of the pipe explosion point is determined, and if the two ends are both valves, an optimal valve closing scheme and an affected pipe point and pipeline set are directly obtained; if not all of the two ends of the pipe explosion point are valves, a breadth-first search algorithm is used for starting from the non-valve end of the pipe explosion point, and an initial valve closing result and an affected area are determined; calculating the water inlet quantity of an unaccessed pipe point through a reverse adjacency list, starting from a downstream valve in the initial valve closing result, and based on the forward adjacency list, applying a breadth-first search algorithm, and updating the valve closing result and an affected area; and combining the initial valve closing result with the updated valve closing result to obtain a final valve closing result and an affected pipe point set. According to the invention, no matter how many water sources exist in the pipe network, all pipe network elements can be considered.