193 results about "Network measurement" patented technology

This disclosure is directed to UE measurements and measurement report of serving cells, and configuration for the cell measurement and report to effectuate a fast serving-cell change during UE mobility within lower network layers, such as layer-1 or layer-2 of the wireless communication protocol stack. This disclosure is further directed to signaling procedures associated with the fast serving-cell change for the UE as triggered by the network based on the cell measurement and report, and various lower layer configurations and operations for effectuating an actual fast serving-cell change at and for the UE.

A computing node to implement an RL management entity in an NG wireless network includes a NIC and processing circuitry coupled to the NIC. The processing circuitry is configured to generate a plurality of network measurements for a corresponding plurality of network functions. The functions are configured as a plurality of ML models forming a multi-level hierarchy. Control signaling from an ML model of the plurality is decoded, the ML model being at a predetermined level (e.g., a lowest level) in the hierarchy. The control signaling is responsive to a corresponding network measurement and at least second control signaling from a second ML model at a level that is higher than the predetermined level. A plurality of reward functions is generated for training the ML models, based on the control signaling from the MLO model at the predetermined level in the multi-level hierarchy.

The invention discloses a network flow measurement method and device based on a data packet interval sketch data structure and a medium. Each arriving data packet is mapped to each corresponding bucket in a sketch data structure through a plurality of independent hash functions, the sketch data structure is a two-dimensional array form structure comprising multi-row and multi-column buckets, and empty bucket processing, identical flow updating or conflict flow replacement judgment is executed according to the conditions of the data packets and the buckets. According to the method, a brand-new interval value sketch is designed, and efficient and accurate large flow detection is realized on the premise of high processing speed and low memory occupation by comprehensively utilizing two pieces of multi-dimensional statistical information of the flow estimation value and the data packet interval. Meanwhile, the large flow and the small flow in the network environment can be well distinguished, so that the method can be better suitable for network measurement tasks in different scenes such as large flow detection and abrupt flow detection.

A management node local to a customer site of a private communications network stores a model. The model is a compact version of a visual language model remote from the customer site. A first screen shot of a dashboard of telemetry data measured from the private communications network is accessed. A prompt is formulated comprising the first screen shot and information to adapt the model to the private communications network via few shot learning. The prompt is submitted to the model. An output is received from the model comprising textual information about anomalies or trends depicted in the first screen shot. The output is checked against data from a statistical model of the telemetry data, the statistical model being independent of the model. In response to the check being successful, an action is triggered to manage the private communications network according to the output.

This disclosure is directed to UE measurements and measurement report of serving cells, and configuration for the cell measurement and report to effectuate a fast serving-cell change during UE mobility within lower network layers, such as layer-1 or layer-2 of the wireless communication protocol stack. This disclosure is further directed to signaling procedures associated with the fast serving-cell change for the UE as triggered by the network based on the cell measurement and report, and various lower layer configurations and operations for effectuating an actual fast serving-cell change at and for the UE.

The invention belongs to the technical field of measurement and positioning, and particularly relates to an aircraft manufacturing measurement and positioning method, which deeply combines an interference networking measurement method and a space coordinate measurement method of a laser tracker, adopts interference networking to construct a global coordinate system # imgabs0 # by reference control TB points in a small amount of open space, and performs re-system by reference control TB points in an effective distance measurement range. According to the method, an expanded reference ERS point is expanded, a local expanded reference system # imgabs1 # is established to measure and position a local measurement object, the sequence and boundary of global measurement and local measurement in the measurement process according to size chain superposition are defined, and the method has high measurement precision.

The embodiment of the invention provides a data stream processing method and device, computer equipment and a readable storage medium, and relates to the field of network measurement. The method comprises the following steps: acquiring a to-be-processed data stream, and determining a plurality of to-be-processed elements from the to-be-processed data stream; performing hash calculation on each to-be-processed element through a quotient and remainder hash function to obtain quotients and remainders of the to-be-processed elements; determining a quotient of the to-be-processed element as a first bucket index, determining a remainder as a first entry index, determining a first hash bucket of the to-be-processed element from the data storage space according to the first bucket index, and determining a first target entry of the to-be-processed element from a plurality of storage entries of the first hash bucket according to the first entry index; and in the first target entry, updating the count of the corresponding to-be-processed element. Therefore, the processing efficiency of the data stream and the utilization rate of the memory can be improved.

The invention discloses a directional antenna prediction method and system based on a base station position and an air route, and relates to the technical field of wireless communication network optimization, and the method comprises the steps: collecting base station information, building and updating a base station database, obtaining the position of an unmanned plane in real time, and matching the position of the unmanned plane with the position of the base station. The position of a real base station is approached through iterative calculation by using MDT data or network measurement data; and predicting a communication demand and RSRP, and obtaining an optimal antenna direction according to a directional antenna prediction result. According to the directional antenna prediction method based on the base station position and the route, the dynamic adaptive capacity of a system to the flight path of the unmanned aerial vehicle is improved by obtaining the position information and the route track of the unmanned aerial vehicle in real time, the quality and stability of data transmission are improved through a base station approximation algorithm, and the directional antenna prediction accuracy is improved by adjusting the pointing direction of the holder type antenna in real time. The reliability and efficiency of task execution of the unmanned aerial vehicle are improved, and better effects are achieved in the aspects of accuracy, stability and reliability.

A network rate adjusting method and apparatus, an electronic device and a storage medium, relating to the technical field of computers. The method comprises: sending a probe packet to a receiving end on the basis of a current sending rate so as to perform this instance of network measurement; in response to an acknowledgment message returned by the receiving end for the probe packet, determining a current round-trip delay of this instance of network measurement, and determining whether a congestion notification packet is received during this instance of network measurement or not; and if the congestion notification message is received during this instance of network measurement, performing rate reduction adjustment on the current sending rate on the basis of the last round-trip delay and the current round-trip delay.

The invention provides a novel power system access-oriented electric power 5G network electromagnetic space security situation awareness and evaluation method, which is characterized by comprising the following steps of S1, analyzing an electric power 5G network electromagnetic security data acquisition method based on network measurement and an external electromagnetic interference instrument deep learning adaptability; s2, long-short-term memory electric power 5G network electromagnetic space security situation awareness based on a dynamic baseline; and S3, electric power 5G network electromagnetic space security evaluation based on geographic space visualization of local abnormal factors. The base station-user two-way interference perception and visual evaluation are realized through deep learning cooperation degree between network measurement and spectrum acquisition, long and short-term memory prediction, and user terminal RSRP and RSRQ data analysis local abnormal factors in an interference existence time period.

One embodiment can provide a method and system for monitoring the performance of a network. During operation, the system can collect, from a network device, traffic data associated with a network; analyze the traffic data to discover dependencies among a plurality of applications and services accessed by client devices within the network; and identify, based on the discovered dependencies, a first server providing a first application and at least a second server providing a service that facilitates delivery of the first application. The system can further perform active measurement on the identified first server and at least the second server, thereby facilitating monitoring of performance of the first application.

The invention provides a communication method and related equipment, which are used for indicating different network measurement technologies through information at different positions of a message on a transmission path where the message is located, so that communication equipment on the path can realize network measurement based on different network measurement technologies. In the method, first equipment receives a first message, the first message comprises first information, and the first information is used for indicating to carry out first network measurement on the first message; the first device sends a second message based on the first message, the second message comprises second information, the second information is used for indicating to carry out second network measurement on the second message, and a first position of the first information in the first message is different from a second position of the second information in the second message.

The invention provides a route-independent network measurement system which comprises a plurality of network measurement points and a centralized controller, each network measurement point maintains a route-independent data sketch, each network measurement point is of a multi-layer structure, each layer comprises a plurality of units provided with bitmaps, and initial values of all bits in the bitmaps are first numerical values; the network measurement point is configured to obtain a packet keyword of a received data packet and a flow keyword of a data flow to which the data packet belongs according to a measurement task; updating a data sketch of the network measurement point according to the keyword, determining an associated layer according to the packet keyword, and determining an associated unit in the associated layer according to the stream keyword; mapping the packet keyword to a position of the bitmap of the associated unit, and updating the value of the position to a second value; and the centralized controller is configured to estimate the number of data packets transmitted by each data stream in the network according to a global data sketch obtained by collecting and aggregating the updated data sketches of the plurality of network measurement points so as to complete a measurement task.

The invention relates to the technical field of communication, and provides an unmanned aerial vehicle swarm networked measurement and control communication system and method, and the architecture of the communication system comprises a network layer, a link layer and a physical layer. A routing protocol in the network layer uses a cross-layer pulse routing protocol, and all nodes multiplex a neighbor connection relationship in two hops of the link layer in a cross-layer manner; the link layer adopts a pre-allocation and dynamic negotiation resource management strategy based on a time division multiple access protocol and a storage scheduling strategy based on a service quality level; and the physical layer adopts an MIMO technology and an adaptive modulation and coding technology, and supports different service transmission requirements of multiple users. According to the invention, the problems of low channel utilization rate and slow response to dynamic topology change can be solved, and high-capacity information transmission, inter-aircraft cooperative information distribution and unmanned aerial vehicle networked measurement and control services are supported at the same time.

The invention discloses a method for identifying an interface address of an IPv6 router, and belongs to the technical field of network measurement. The method comprises the following steps: acquiring an IPv6 prefix list, and initializing experience information; selecting a current target IPv6 prefix according to the IPv6 prefix list, randomly generating a specific detection target in the current target IPv6 prefix, evaluating the effectiveness of the specific detection target by using experience information, and retaining the effective specific detection target; repeating the operation until the number of specific detection targets reaches a set value; performing stateless online detection according to each specific detection target to obtain a detection result; and updating the experience information, iterating the detection operation until the total quantity of the sent data packets reaches the total detection budget, obtaining the reachable interface address and relative position of the local address based on the detection result in each round of iteration, and completing the interface address identification. According to the invention, the problem that the existing method cannot adaptively allocate detection resources and minimize unnecessary detection is solved.

The invention belongs to the technical field of aircraft assembly measurement, and particularly relates to an aircraft assembly tool measurement field measurement reference point spacing laser tracker measurement method, which comprises the following steps of: calibrating and constructing a distance measurement coordinate system by adding an alignment measurement point to be combined with a reference measurement point and utilizing an absolute distance measurement function of a laser tracker; and a multi-degree-of-freedom precision adjustment structure of the articulated arm robot is utilized to position the laser tracker on an epitaxial line of the reference measurement points, so that the high-precision measurement of the distance between the two reference measurement points is realized, the networking measurement error of the laser interferometer can be corrected in a high-precision manner, and the high-precision measurement of a large aircraft assembly site is realized.

The invention discloses a satellite communication cross-station switching and flow scheduling method based on affiliation, and relates to the technical field of satellite communication. User satellite terminal landing path perception is realized based on network measurement; and path replanning and flow redirection of inter-station services are realized by adopting a tunnel drainage strategy reconfiguration mode through a centralized control mode. According to the invention, automatic switching of the user satellite terminal among different ground stations, inter-station path dynamic replanning and flow redirection after dynamic selection of a service landing station can be realized, the method has the advantages of supporting subnet movement, automatic switching control of an end-to-end network outgoing path and the like, and the application and automation level of a satellite communication network can be improved.

The invention provides a network measurement method and related equipment, and belongs to the technical field of communication. In the method, an analysis device obtains first network measurement data of a plurality of target queues, and obtains second network measurement data of a target data stream according to the first network measurement data of the plurality of target queues. Wherein the plurality of target queues are queues for forwarding the target data streams. According to the method, the network measurement data of the target data stream is obtained by forwarding the network measurement data of the plurality of target queues of the target data stream, so that processing such as dyeing of data packets in the data stream and packaging of additional message headers is not needed, and the cost of network measurement is reduced.

The present subject matter describes performing radio resource management (RRM) measurements by a WTRU in a 3GPP networks. The method comprise defining at-least one of: a) a channel condition threshold, b) a WTRU mobility threshold, and c) a measurement-reliability threshold. A first sub-set of reference-signal samples are measured out of a set of reference-signal samples based on sensing at least one of current channel conditions and mobility-conditions. A reliability-parameter associated with the first sub-set of measured samples is checked. Finally, network-measurement operation is concluded in case of the reliability-parameter being in accordance with the pre-defined reliability-thresholds.

The invention relates to a low earth orbit satellite network measurement method, device and equipment, a medium and a product. The method comprises the steps that a topological graph of a low earth orbit satellite network is acquired, an Euler loop is determined according to the topological graph, and the topological graph comprises a plurality of satellite vertexes and edges between the adjacent satellite vertexes; determining a detection path set according to the Euler loop, and determining a report path set according to the detection path set; and collecting network state information of each satellite vertex based on the detection path set, and transmitting the network state information of each satellite vertex to a ground station for network measurement based on the report path set. By adopting the method, the whole-network state measurement of the super-large-scale low-orbit satellite network can be realized.

The present invention discloses a neural network measurement and calibration system and method for TDL-TDC, the system comprising: a TDL-TDC module, which uses a code density calibration method to complete the initial calibration of the delay chain and obtain an initial calibration value; a temperature sensing module, which collects the system operating temperature on the FPGA chip and obtains operating temperature information; a host computer neural network calibration module, which builds a multi-layer learning network, uses the operating temperature information and the initial calibration value as the input of the network, outputs the delay time of the delay unit, and establishes a corresponding nonlinear change relationship between the temperature information and the delay time of the delay unit. The present invention finds out the corresponding nonlinear change relationship between the delay time data of the delay unit and the temperature data through the learning network, and in actual work, only one calibration and temperature collection are required to obtain a more accurate nonlinear calibration result of each section of the current delay chain.

The invention relates to the technical field of internet IPv6 network measurement, in particular to an IPv6 full response prefix detection method, device and equipment in an internet range and a computer storage medium. According to the method, knowledge (namely an address mode) useful for detecting active prefixes under target prefixes is mined and utilized from existing seed prefixes, so that the efficiency of target prefix detection is improved, and then a seed prefix library is enriched by detecting new prefixes; according to the invention, active IPv6 full-response prefix detection can be carried out on any routing prefix, and a high hit rate is always kept.

The invention provides a service flow analysis method, device and system, and belongs to the technical field of networks. A network management device obtains measurement task information of a service and issues a measurement command to a plurality of network devices so as to instruct the network devices to count flow characteristics of flows flowing through the network devices. Wherein the service comprises a plurality of service flows, and the measurement task information comprises device identifiers of a plurality of terminal devices associated with the service. And after receiving the measurement results reported by the plurality of network devices, the network management device determines a flow analysis result corresponding to the service according to the measurement results sent by the plurality of network devices and the device identifiers of the plurality of terminal devices. By collecting the flow characteristics corresponding to the flow identifiers of the flows passing through the multiple network devices in the network, the flow analysis result corresponding to the service can be determined according to the flow characteristics of the multiple service flows of the service, network measurement with the service as granularity is achieved, and monitoring and analysis of the service quality are facilitated.

An apparatus, method and compute program is described comprising receiving (at a network node) one or more network node configuration messages from a control module, wherein each network node configuration message relates to network measurement of one or more restricted access resources for one or more groups of users of a public land mobile network, wherein the one or more restricted access resources are indicated within the network node configuration messages with one or more resource indicators; and sending one or more user device configuration messages to one or more selected user devices respectively, each user device configuration message including one or more resource indicators and one or more parameters, wherein the one or more resource indicators identify the one or more restricted access resources.

The invention relates to a training method and device of a network measurement model, a network measurement method and device, electronic equipment, a storage medium and a computer program product. The training method comprises the steps that a training sample set is obtained, the training sample set comprises input samples at multiple measurement moments and simulation network loss data, and the input sample at each measurement moment is determined based on simulation estimation information and simulation observation information of a simulation network at the corresponding measurement moment; the simulation estimation information is network state information estimated by using a congestion control model in a simulation network, and the simulation observation information is data packet transmission related information observed in the simulation network; inputting the input sample into a network measurement model to obtain estimated network loss data of the simulation network at a predetermined measurement moment, the predetermined measurement moment being a measurement moment corresponding to the input sample; and adjusting parameters of the network measurement model based on the loss of the estimated network loss data and the analog network loss data at the predetermined measurement moment.

The invention discloses a comprehensive interpretable sketch performance evaluation method and device based on a statistical inference method, and the method aims at a summary data structure sketch in the field of network measurement, and comprises the steps: confirming the flow level characteristics needing to be collected based on a precision index set which is given by a user and is used for evaluating the sketch performance, and carrying out the flow level sampling of a working load during operation; a Bootstrap method based on a resampling principle is combined with a Monte Carlo method, and flow level feature distribution is constructed through samples, so that a precision index value and a confidence interval of the precision index value are estimated. According to the method, in the face of the evaluation requirement that comprehensiveness and interpretability need to be guaranteed at the same time, the multi-dimensional precision index can be analyzed, it is guaranteed that the middle process and the evaluation result are confidence, based on the more comprehensive precision index, performance evaluation of credible interpretation is conducted on sketch, and precise estimation of the precision index is achieved.

In one implementation, a device may detect a drop in an amount of agents reporting network measurements for a network component; identify, based on network measurements from before and at a time of the drop, a network component set associated with the drop; generate, based on the network component set, a pseudo-measurement to represent absent data associated with the drop; and provide the pseudo-measurement as an input for root cause analysis.

The invention relates to the technical field of network measurement, in particular to a method and a device for measuring inconsistency of inbound source address verification filtering, and the method comprises the following steps: fixing all flow identifiers in ICMP (Internet Control Message Protocol) unreachable information messages so as to execute multiple rounds of ICMP unreachable information measurement on each measurable target to obtain a first measurement result; changing a preset flow identifier in the ICMP unreachable message so as to execute multiple rounds of ICMP unreachable message measurement on each measurable target to obtain a second measurement result; and determining whether the load balancing causes instability of the inbound source address verification measurement according to the first measurement result and the second measurement result. Therefore, the problem that the traditional method cannot judge whether the observed filtering inconsistency originates from the real strategy difference in the network or the detection message is distributed to different inlet paths in a load balancing manner is solved.

The invention discloses a network measurement data completion method and device based on incomplete multi-view analysis, and the method comprises the steps: firstly decomposing a recovery problem of a fine-grained network measurement tensor into two perspectives of space consistency and time complementarity for joint modeling, constructing a deep learning model for tensor completion, and then training the model; and inputting a measurement tensor of network measurement data containing missing values into the trained model, performing forward propagation processing on the observation measurement tensor through a plurality of stages of the model, solving an optimization problem of joint modeling in an iteration mode, and outputting a recovered complete data tensor. According to the method, the tensor recovery problem is innovatively decomposed into two orthogonal views of space consistency and time complementarity for joint modeling, wherein the space view restrains a global topological structure through a graph tensor nuclear norm, and the time view captures a node heterogeneous evolution mode through CP decomposition. And a cross-node attention mechanism is further introduced to realize spatio-temporal feature alignment and fusion.