78 results about "Network measurement" patented technology

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.

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.

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.

There is provided an apparatus comprising: means for retrieving a configuration for a time window to perform network measurements in; means for associating the time window with a first receive element of a user equipment; and means for, during the time window, performing a network measurement using the associated first receive element and receiving downlink data using a second receive element of the user equipment.

The invention discloses an in-band network telemetering method, device and system based on SRv6 Behavior, and relates to the field of network measurement. According to the method, an END.INTx function is configured on an SRv6 node, so that the node collects network performance data while processing SRv6 forwarding, and the data is stored in a Segment List of an SRH according to a 128-bit format; and configuring an INTUpload function for the specified node to upload the accumulated data. The method does not need head node dyeing of traditional INT, uses the SRH to bear telemetering data, reduces equipment processing pressure and bandwidth consumption, realizes accurate telemetering consistent with a service path, and is suitable for real-time performance monitoring of an SRv6 network.

The present application provides a measurement method and a communication device. The method may comprise: receiving measurement configuration information, wherein the measurement configuration information is used for serving cell measurement based on an on-demand synchronization signal block (SSB); and measuring the on-demand SSB of a serving cell on the basis of the measurement configuration information, and sending a measurement result. Upon the introduction of the on-demand SSB, a network side can configure, for a terminal device, a measurement configuration based on the on-demand SSB, such that the terminal device can measure the serving cell on the basis of the on-demand SSB. In addition, the on-demand SSB can be densely sent, and the measurement result of the on-demand SSB can be understood as a real-time measurement result. Therefore, the measurement result based on the on-demand SSB can be immediately used for network measurement so as to perform management, such as carrier management, on the basis of the measurement result.

The invention provides an AIoT device data priority scheduling method based on an SD-WAN, and relates to the technical field of data processing, and the method comprises the steps: analyzing device data at an AIoT gateway or an SD-WAN edge device into data atoms containing a security domain identifier, a service type identifier, a data size, a deadline, a basic value, an attenuation coefficient and a reliability requirement; an instant value function is generated; the edge device collects network measurement data for the superposition tunnel path according to a preset measurement period, calculates a path time delay quantile and a path packet loss rate quantile, obtains a deliverable coefficient and an expected delivery value of a data atom on each path, and further calculates a unit byte scheduling index; selecting the maximum scheduling index to send under the constraint of credit balance; when the deliverable coefficient is lower than the reliability requirement, double-path copying or system code action is executed, and a receiving end carries out duplicate removal and expired discarding; and the edge device reports statistical information, and the controller updates the next window allocation to realize closed-loop scheduling and resource isolation.

The application discloses an online network measurement flow recovery method, a terminal device and a storage medium. Network flow data at each moment is modeled according to a two-dimensional matrix model; a basic subspace column is trained according to flow data at historical moments, and indexes of the columns are marked, and a leverage score is obtained by calculation; according to the indexes of the subspace columns, a subspace column that needs full sampling at the current moment is selected, and only part of elements in the remaining columns are sampled; whether sampling needs to be continued is judged according to a sampling matrix at the current moment; when a maximum residual value is less than a certain threshold, unsampled data is recovered by using subspace matrix filling; when the maximum residual value is greater than a certain threshold, columns that need to be continuously measured are selected according to residual sizes, a column space is updated, and then the unsampled data is recovered. The application solves the problems of low recovery precision and inability to recover online in the prior art, and realizes online network measurement with low overhead.

The embodiment of the invention discloses a network measurement deployment method, device and equipment and a computer readable storage medium, and belongs to the technical field of communication. The network measurement deployment method comprises the following steps: generating a target service between a transmitting end and a reflecting end; generating network measurement data according to the target service and preset communication information; and issuing network measurement data to the transmitting end and the reflecting end to realize bidirectional activation detection. According to the embodiment of the invention, the configuration of each router in the network is realized through the composer, the defects of possible errors, time-consuming debugging and low efficiency of manual configuration are avoided, and the configuration efficiency can be remarkably improved.

The application belongs to the technical field of aircraft assembly measurement, and particularly relates to a laser tracker measurement method for measuring the distance between reference points in an aircraft assembly tool measurement field, which combines the alignment measurement point and the reference measurement point, uses the absolute ranging function of the laser tracker to calibrate, constructs a ranging coordinate system, and uses the multi-degree-of-freedom precise adjustment structure of the articulated arm robot to position the laser tracker on the extension line of the reference measurement point, so as to realize high-precision measurement of the distance between the two reference measurement points, correct the error of network measurement of the laser interferometer with high precision, and realize high-precision measurement of the large aircraft assembly site.

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 invention discloses a method for predicting and classifying the quality of air-space-ground power communication links based on multi-source information fusion. First, a deterministic capability classification system based on power service SLA requirements is constructed, which includes quantified multi-level indicator thresholds. Environmental perception data (meteorological, ephemeris) and network measurement data are fused, and a predictive model is used to derive the expected link performance within a future time window. The expected link performance is then matched level by level with a predefined classification system to dynamically determine the dynamic deterministic level of the link within the future time window. When this dynamic level is lower than the required level for the service, an early warning and rerouting preparation are triggered, achieving proactive pre-emptive maintenance of network quality.

The invention relates to a transient synchronization stability evaluation method and device of a phase-locked synchronous converter system under an energy perspective, belongs to the field of new energy grid connection, and solves the problem of transient synchronization stability evaluation of a phase-locked synchronous converter at the present stage. The method comprises the following steps: establishing a port energy function of each element in the phase-locked synchronous converter system; according to the law of conservation of energy, establishing a phase-locked synchronous converter system branch energy function considering the transient synchronization influence of the phase-locked loop; branch energy and port energy indexes based on information entropy are constructed, and stability margins of key branches and phase-locked synchronous converter elements in the network are quantitatively estimated based on local network measurement information. According to the method, the stability margin of the key branch and the key phase-locking synchronous converter of the system can be accurately and quantitatively identified, and a new visual angle and a new tool are provided for transient synchronous stability evaluation of a high-permeability renewable resource system.

This invention relates to a dynamic communication adaptation system and implementation method for virtual network terminals, belonging to the technical field of communication adaptation. The system includes: analyzing the network performance needs of a user group and constructing a network demand matrix for the user group; based on data analysis from a network measurement platform, real-time monitoring of network conditions and device operating status to obtain the network resource allocation status of the user group's communication device software and generate a network behavior profile of the user group; combining the network demand matrix and the network behavior profile of the user group to dynamically adjust and optimize the network resource allocation strategy of the virtual network terminal; and based on the optimized network resource allocation strategy of the virtual network terminal, constructing a dynamic communication adaptation model for the virtual network terminal to achieve communication quality optimization and adaptation of the virtual network in various network environments. The beneficial effects of this invention are: improved system adaptability and reliability under high load conditions, and significantly improved user experience and communication efficiency.

The invention provides a measurement method and a communication device. The method may comprise: receiving measurement configuration information, wherein the measurement configuration information is used for serving cell measurement based on an on-demand synchronization signal block (on-demand SSB); and on the basis of the measurement configuration information, measuring the on-demand SSB of the serving cell, and sending a measurement result. In the embodiment of the invention, after the on-demand SSB is introduced, the network side can configure the measurement configuration based on the on-demand SSB for the terminal equipment, so that the terminal equipment can conveniently measure the serving cell based on the on-demand SSB. In addition, the on-demand SSB can be densely sent, and the measurement result of the on-demand SSB can be understood as a real-time measurement result, so that the measurement result based on the on-demand SSB can be immediately used for network measurement for some management based on the measurement result, such as carrier management.

The invention discloses a large model training monitoring method and system based on flow measurement, and belongs to the field of network measurement, and the method comprises the steps: carrying out the flow statistics of an RDMA flow, and obtaining RDMA flow measurement data; according to an existing communication mode of a communication library in the large model training process, communication feature information of each communication operator in the training process is determined, and the communication feature information comprises communication participation nodes and a communication data volume; screening transmission layer flow data corresponding to communication participating nodes from the RDMA flow measurement data, and constructing a communication rate time sequence reflecting a data transmission behavior in a communication process; and analyzing the communication rate time sequence according to the communication data volume, deducing an execution time interval of the communication operator, and extracting rate data in the execution time interval from the communication rate time sequence so as to monitor the communication rate of the communication operator. According to the method, microsecond-level rate monitoring of the set communication behavior in the large model training process is realized, and the monitoring time precision is improved.

The invention relates to the technical field of network measurement and artificial intelligence crossing, in particular to a missing network traffic matrix autoregression model training and filling method. The method comprises the following steps: acquiring network traffic data, constructing a network traffic matrix time sequence X, and dividing the X into a plurality of subsequences with the length of w; traversing all the subsequences: sampling the subsequences by adopting different sampling frequencies to obtain a plurality of resolution sequences, and predicting a next-stage resolution sequence based on an interpolation sequence of the resolution sequences; a total loss is calculated in all prediction results for updating the traffic fill model. According to the method, an autoregression mechanism from coarse to fine is adopted, the excellent few-sample learning capability is realized, the defects of high missing rate, dynamic change and unknown network environment limitation of traffic matrix filling are overcome, and high-precision filling and strong generalization can be realized at the same time.

The invention relates to an enhanced satellite positioning terminal external field test system and method integrated with network quality real-time monitoring, and the system comprises a main control computer which is used for transmitting a test instruction, configuring parameters, and collecting data, recording and analyzing; the network quality monitoring unit is used for monitoring the performance index of a downlink in real time and transmitting back the measured data in real time, and measuring the air interface network signal quality by adopting an external independent antenna; the positioning data acquisition unit is used for receiving satellite signals; the external field test equipment is used for providing a test network environment; wherein the main control computer uniformly controls the network quality monitoring unit and the positioning data acquisition unit, so that network measurement and positioning measurement keep the same sampling frequency, synchronous data acquisition is carried out, and a timestamp is recorded for each frame of data. The network quality can be accurately monitored in real time, and indisputable data support is provided for validity judgment of test results.

A video online recommendation system combined with network information comprises a video quality evaluation module, a network measurement module and a multi-target reordering module; the recommendation algorithm of the video quality evaluation module selects candidate videos; the network measurement module measures the network condition during the request of the video; the multi-target reordering module estimates the residual transmission time of the candidate videos according to the network bandwidth feedback calculated by the network measurement module, reorders the candidate video list selected by the recommendation algorithm, and selects a preset number of video combinations to transmit to the user end. The present application proposes a new short video recommendation system and method, which takes network bandwidth into the video recommendation system. The system can select the video combination that can be successfully transmitted within a specified time and bring the highest actual income. In the case of poor network bandwidth, compared with the traditional recommendation mechanism, the system can improve the video playing time by 160%, that is, the income is improved.

The application relates to the technical field of communication network measuring instruments, in particular to a MEMS device frequency drift self-compensation method and system. The method comprises the following steps: collecting monitoring parameters of the MEMS device; calculating a temperature disturbance coefficient through the correlation between temperature and frequency, the temperature change rate, the time offset amount of temperature and frequency and the actual frequency difference; calculating a coupling degree factor by constructing a correlation matrix according to the correlation between the remaining parameters and temperature; calculating a lag degree coefficient by combining the time offset amount of the remaining parameters and temperature, the temperature disturbance coefficient and the fluctuation of temperature; calculating a thermal lag compensation factor through the temperature disturbance coefficient and the lag degree coefficient; determining a dynamic compensation amount by using a proportional-integral controller based on the thermal lag compensation factor; and completing compensation by correcting the frequency. The application improves the accuracy and quality of the MEMS device frequency drift compensation.

A cell handover method. The cell handover method includes: when a first Subscriber Identity Module (SIM) in a multi-SIM terminal is in a connected state, informing, by the first SIM, a second SIM in the multi-SIM terminal of performing network measurement; and when a network measurement result from the second SIM is obtained, reporting, by the first SIM, the network measurement result to a base station to which the first SIM is connected.

The application discloses an online target point sky window period measurement method and system based on PPK post-processing, and on the basis of a GNSS RTK measurement method, proposes a data solution method of PPK post-processing, can carry out the sky window period measurement of the online target point under the premise that the offline basic control network result is not obtained, and completes the target point layout, measurement and vehicle-mounted Li DAR scanning measurement work through one time of going online, effectively solves the difficulties of tight working period of business line railway re-measurement, short sky window time, great safety risk of existing line operation and the like while reducing the going online frequency of workers, compares and checks the method of the leveling actual measurement result and the fitting result, reduces the error probability of data processing, effectively guarantees the target control network result quality, and proposes a new solution method for the online target control network measurement in the re-measurement work in the railway operation period.

The application belongs to the field of network engineering, artificial intelligence and network measurement, and discloses a traffic matrix estimation method combined with observation traffic and link load constraints, comprising the following steps: step 1, obtaining a traffic matrix dataset and a routing matrix dataset; step 2, obtaining a complete traffic matrix sample; step 3, performing main training on a diffusion model module, and updating a Transformer denoising network parameter by minimizing a loss function until convergence; step 4, generating a traffic matrix subjected to known traffic constraints; step 5, repeating steps 4-5 T times, and finally obtaining an output traffic matrix; and step 6, performing post-processing optimization on the traffic matrix output in step 5, and finally outputting a complete estimated traffic matrix. The application utilizes the probability generation capability of the diffusion model module, incorporates the constraint conditions such as observable traffic and link load into the reverse sampling process thereof, and cooperates with a training data preprocessing module to realize high-precision recovery of the traffic matrix.

The invention discloses a star chain laser communication signal transmission method for space small mammalian feeding equipment, and relates to the technical field of data transmission of in-orbit life science loads. A prediction-scheduling-fault-tolerant-feedback integrated transmission mechanism is constructed at a terminal side: priori of a visible window and a time delay interval is obtained through ephemeris and network measurement, dynamic topological coding is performed on a satellite-gateway station in combination with a graph neural network, and a spatio-temporal context is provided for reinforcement learning scheduling; sending opportunity, fragmentation, redundancy proportion, rate and queue selection are enabled to adaptively evolve along with window and link quality; a multi-queue weighting strategy and a priority label are adopted, so that the alarm and the vital signs obtain guaranteed bandwidth and time limit guarantee when resources are insufficient; the first packet time delay of window opening is shortened through 0-RTT handshake, and effective throughput is maintained under high packet loss through cascading of FEC and ARQ.

The invention provides a method for determining a communication link and a communication device, which can improve the accuracy and credibility of determining the communication link. The method comprises the following steps: acquiring first information, wherein the first information is used for indicating a communication requirement between a first node and a second node; according to the first information, a communication link between the first node and the second node is determined, the communication link comprises I nodes, the communication link corresponds to I-1 communication delays, and the ith communication delay in the I-1 communication delays is determined based on one of the following parameters: network measurement information between the ith node and the (i + 1) th node in the I nodes; optical cable time delay between the ith node and the (i + 1) th node in the I nodes; position information of the ith node and the (i + 1) th node in the I nodes; wherein I is an integer greater than or equal to 2, and i is a positive integer less than or equal to I-1.

The invention provides a network measurement method, system and device, and is applied to the technical field of communication. The first node can determine the address information of the second node according to the VPN routing information, and then the first node sends the test message to the second node based on the address information of the second node, thereby measuring the communication performance between the first node and the second node. On the basis, the first node can initiate performance measurement to the second node communicating with the first node at any time, and pre-planning is not needed.

This invention discloses an SRS sequence collision optimization method, system, electronic device, and storage medium, relating to the field of communication network optimization technology. The method first acquires and preprocesses SRS beam-level measurement data and user signal characteristic data. It then constructs a three-dimensional virtual grid based on beam spatial location to generate a grid-level dataset. Next, it extracts feature quantities and quantifies interference intensity using machine learning, constructing MOD3, MOD6, MOD30, and MOD90 multi-mode interference matrices to identify conflict-risk cells. Finally, it establishes an optimization objective function based on PCI allocation constraints and determines the optimized PCI allocation result using an integer programming algorithm combined with branch-and-prune decision. This invention solves the problems of traditional PCI optimization models being too simplistic and lacking accuracy, minimizing PCI modulus interference, effectively reducing SRS sequence collisions, and improving network measurement accuracy and communication performance.

Various communication systems may benefit from the appropriate logging of measurements. For example, communication systems employing multimedia broadcast multicast service may benefit from logging multicast-broadcast single-frequency network measurements. A method can include logging, by a user equipment, a multicast-broadcast single-frequency network measurement corresponding to a logging period. The method can also include storing, at the time the multicast-broadcast single-frequency network measurement is made, cell measurement results.