107 results about "Neighbor relation" patented technology

The invention relates to a relationship perception learning method of a time sequence knowledge graph based on an attention mechanism, which comprises the following steps of: firstly, acquiring a target relationship, a neighbor entity and an embedding vector of time sequence information of the neighbor entity through an embedding layer, and dynamically adjusting a weight according to the similarity of the target relationship and the neighbor relationship in a time dimension by utilizing the attention mechanism; therefore, the time sequence information of the neighbors is finely aggregated. Then, a fitness function is introduced to score negative samples, and the most challenging negative sample is selected to realize local optimization; in addition, a specially designed positive and negative sample processing mechanism effectively improves the time sequence discrimination capability of the relation perception embedding model on the negative sample, so that the modeling effect on the time sequence relation is enhanced.

The invention provides a joint channel and route selection cross-layer decision-making method based on Q learning. The method comprises the following steps: acquiring coordinates; each routing node periodically broadcasts messages used for discovering, establishing and keeping alive neighbor relations; after receiving the Hello packet, the neighbor node feeds back an acknowledgement message and establishes a neighbor relationship; when data needs to be transmitted in the source node, the source node selects a next-hop node and a channel transmission data packet according to a selection strategy, and the data packet comprises the address of the selected next-hop node; the neighbor point judges whether the data packet should be forwarded by the neighbor point; the next-hop node replies to the source node through the control link, wherein reply information comprises the estimated signal-to-interference ratio and the latest Q table of the next-hop node; the source node calculates a reward value according to the feedback signal-to-interference ratio and the position obtained in the earlier stage; and the source node updates the Q table and the node selection strategy according to the reward value. According to the method, the network transmission rate and the anti-interference performance are improved, and the end-to-end time delay and hop count are reduced.

The invention relates to the technical field of communication, and discloses a route synchronization method, device, system and equipment among multiple SDN clusters and a medium, and the method comprises the steps: obtaining neighbor configuration information issued by a central controller based on a target BGP service; establishing a neighbor relationship between the target BGP service and other BGP services according to the neighbor configuration information; obtaining first node address information of a target SDN cluster collected by the target SDN controller based on the target BGP service, and generating first routing information; and sending the first routing information to other BGP services which establish the neighbor relationship. According to the invention, the BGP service and the SDN controller are utilized to realize the coordination of the control planes, the BGP service and the SDN controller form a double-layer control plane, and the double-layer control plane is utilized to issue the routing forwarding strategy, so that flooding on the data plane is effectively avoided, and the routing synchronization efficiency is improved.

The invention discloses an electronic price tag positioning method, device and system, and the method is applied to a positioning server, and comprises the steps: obtaining a neighbor relation list of all electronic price tags; determining at least one price tag group to be subjected to distance measurement according to the neighbor relation list of all the electronic price tags; after the distance measurement role in each price tag group to be subjected to distance measurement is marked, at least one price tag group to be subjected to distance measurement forms a plurality of distance measurement groups, and the distance measurement groups are sequentially sent to a price tag communication system, so that the price tag communication system issues a distance measurement instruction to the electronic price tags in the distance measurement groups after receiving the distance measurement groups; after the ranging results of all the ranging groups are received, the ranging results are fed back to the positioning server; distance measurement parameters in the distance measurement instruction are used for the electronic price tag to execute a distance measurement process to obtain a distance measurement result; after the distance measurement result is received, constructing a neighbor relation network; and calculating the position of the to-be-positioned electronic price tag according to the neighbor relation network and the position of the positioned electronic price tag. According to the invention, the electronic price tag can be efficiently and accurately positioned.

The invention discloses a mapping knowledge domain embedding method fusing meta-information and logic rules, and relates to the technical field of computers. The method comprises the following steps: inputting a to-be-predicted knowledge graph into a knowledge graph embedding module; in the multi-granularity meta-information embedding module, for each entity to be predicted in the knowledge graph to be predicted, obtaining ontology information embedding and multi-hop neighbor relation embedding of the entity to be predicted; carrying out average pooling processing on each of the multi-hop neighbor relation embedding, and processing the neighbor relation embedding after the average pooling processing through a multi-layer perceptron and learnable parameters to obtain a hierarchical attention weight of each neighbor relation embedding; each multi-hop neighbor relation embedding comprises a plurality of neighbors; and performing weighted summation on the ontology information embedding and the multi-hop neighbor relation embedding based on the hierarchical attention weight to obtain meta-information embedding of a to-be-predicted entity in the to-be-predicted knowledge graph. According to the method, the determination precision of the meta-information embedding of the entity can be improved.

The invention provides a multi-axis mechanical arm model consistency control method based on neighbor event driving, and the method comprises the steps: firstly building a nonlinear multi-mechanical arm system and a dynamic model of a corresponding mechanical arm, which comprises a leader mechanical arm and a plurality of sub-mechanical arms; the sub-mechanical arm obtains state information of a neighbor sub-mechanical arm according to the neighbor relation; when the leader mechanical arm sends out a leader signal, the sub-mechanical arms obtain state information of the leader mechanical arm and state information of the neighbor sub-mechanical arms according to the state information of the sub-mechanical arms and the connection relation between the sub-mechanical arms and the neighbor mechanical arms, and then consistency error signals of the sub-mechanical arms are calculated; and a neighbor event triggering mechanism and a sub-mechanical arm consistency controller are designed, parameters of the sub-mechanical arm consistency controller are adjusted according to the consistency error signal based on the neighbor event triggering mechanism, and a control signal of the sub-mechanical arm is generated. According to the method, the consistency control problem of the multi-agent system can be solved, a neighbor event triggering mechanism is introduced to reduce the communication load, the communication burden of the system is reduced, and the communication efficiency of the system is improved.

The invention relates to the technical field of smart power grids and communication, and discloses a power utilization information acquisition method and system based on dual-mode communication, and the method comprises the steps: 1, initializing a configuration network, building the neighborhood of each acquisition terminal node, carrying out the probability distribution parameterization of the channel states of a power line carrier channel and a wireless radio frequency channel, and carrying out the network configuration; according to the probability distribution parameterization, calculating a Fishi information matrix used for quantifying the information distance between different channel states; and step 2, defining a channel state geometrical relationship based on the Fishi information matrix. The probability distribution parameter space of the channel state is constructed into the information geometric manifold, the manifold Kalman filtering algorithm is adopted for state prediction, and compared with an existing channel prediction scheme adopting standard Kalman filtering or a simple time sequence model, the problem that the statistical characteristics of the channel cannot be accurately described due to model mismatch is solved, and the channel prediction accuracy is improved. Therefore, the problems of low prediction precision and incapability of effectively supporting a prospective routing decision are solved.

The invention relates to the technical field of zero-trust and evolutionary game, in particular to a multi-agent cooperative control method based on an evolutionary game theory under a zero-trust architecture, and the method comprises the steps: S1, constructing a multi-agent system of which the population scale is n; defining a strategy set for each agent; s2, each agent randomly selects one of the cooperation strategy A and the back strategy B as an initial strategy, and games with all neighbors; s3, calculating a real-time trust degree based on the historical cooperation rate and the real-time zero trust verification score; s4, calculating the fitness based on the interaction income and the neighbor relationship in the interaction result; s5, calculating a comprehensive evaluation value based on the real-time credibility and the fitness; s6, updating the strategy of each agent based on the comprehensive evaluation value difference between each agent and the neighbor; and S7, continuously selecting a strategy for updating each agent until the whole multi-agent system reaches an evolution stable state. According to the invention, the security of the multi-agent cooperative control system is improved.

Techniques discussed herein can facilitate one or more of improvements to Automatic Neighbor Relation(s) (ANR(s)) for cell(s) of a Radio Access Network (RAN), configuration of Physical-layer Cell Identifier(s) for cell(s) of the RAN, and / or end-to-end performance assurance for the RAN based on 5G QoS Identifier (5QI) targets and / or requirements. Various embodiments can employ one or more of the techniques discussed herein, for example, at a component or service of a Fifth Generation (5G) Core Network (5GC), a Third Generation Partnership Project (3GPP) Management System, or a node of a Radio Access Network (RAN).

In certain implementations, a method includes obtaining network information for a plurality of access points (APs) that are configured to provide user devices with access to a communication network, and determining, according to the network information, partitions in which to divide the APs for deploying a software update to the APs. The method includes dividing, according to a vertex coloring algorithm, the APs into the partitions. The APs correspond to vertices of the vertex coloring algorithm, and neighbor relationships of the APs correspond to edges of the vertex coloring algorithm. The method includes transmitting software update instructions to the APs to cause APs of a first partition to execute a reboot for installing the software update on the APs of the first partition at a different time than APs of a second partition execute a reboot for installing the software update on the APs of the second partition.

Provided is a method for a first base station operating with a cellular network, covering a first cell area and being connectively coupled to a second base station supporting beamforming, covering a second cell area, wherein a plurality of user equipments is located in said first cell area. It includes sending a message representative of an instruction to perform at least one automatic neighbor relation measurement to at least one of the plurality of user equipments located in said first cell area, receiving at least one automatic neighbor relation message from said at least one user equipment, and omitting said at least one user equipment from further considering for further automatic neighbor relation evaluation, when said automatic neighbor relation message indicates that said user equipment is located outside of the second cell area.

The invention is suitable for the technical field of data mining, and provides a data set construction method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining a sample example picture which comprises a to-be-detected target in a target detection task; extracting target instance features of the to-be-detected target from the sample instance pictures; according to the target instance feature and a pre-established neighbor relation graph, a first sample graph set is determined, the neighbor relation graph is established according to original instance features of a plurality of original pictures, and pictures in the first sample graph set comprise instance features identical and / or similar to the target instance feature; and updating and mining the first sample image set based on an active learning task process to obtain a target sample data set for the target detection task. The data set can be efficiently constructed, noise data is reduced, the quality of the data set is guaranteed, and meanwhile labor consumption can be effectively reduced.

The invention discloses an industrial control vulnerability knowledge graph completion method based on negative sample generation, and the method comprises five modules: a vulnerability data crawling module, a named entity recognition module, a graph construction module, a sample enhancement module and a knowledge reasoning module. The vulnerability data crawling module crawls unstructured vulnerability information from a webpage; the named entity recognition module performs keyword extraction on the obtained vulnerability description information; the graph construction module combines the keywords extracted by the named entity recognition module with the information obtained in the data crawling module to construct a vulnerability graph; the sample enhancement module optimizes a data sampling process by applying a sample enhancement method based on sub-sampling, and performs information aggregation on each node of the obtained atlas according to a neighbor relation and attribute information; and finally, dynamically calculating the influence of the head entity on the tail entity by the knowledge reasoning module, and realizing graph completion according to the embedding calculation distance of the node and the relationship. According to the method, the problem of data sparsity in the vulnerability knowledge graph is solved.

The invention discloses an information transmission method and device, a ground gateway, a satellite node, a storage medium and a computer program product. The ground gateway side method comprises at least one of the following steps that first information is sent to each satellite node in all satellite nodes in a first area, and the first information is used for indicating the change condition of the available bandwidth of the corresponding satellite node in a first time range; receiving second information sent by the satellite nodes in the first area, wherein the second information is used for indicating the change condition of the traffic load of the corresponding satellite nodes in the first time range; sending third information to each satellite node in all satellite nodes in the first area, wherein the third information is used for indicating the change condition of the network topology of the corresponding satellite node in the first time range; the ground gateway establishes a neighbor relationship with each of all satellite nodes in the first area, and the ground gateway has at least routing reflector (RR) and / or controller functions.

Aspects of the subject disclosure may include, for example, connecting a user equipment (UE) to integrated networks including one or more terrestrial networks and one or more non-terrestrial networks, running a non-real time radio access network intelligent controller (non-RT RIC) at a service management and orchestration platform (SMO) of the O-RAN by running a plurality of rApps to manage traffic from the one or more terrestrial networks and the one or more non-terrestrial networks, and running a near-real time radio access network intelligent controller (near-RT RIC), where the running the near-RT RIC further comprises running an xApp to receive a UE measurement report and manage an automatic neighbor relation table in response to a command from one or more of the plurality of rApps. Other embodiments are disclosed.

Some examples of the techniques described herein relate to methods, systems, devices, and apparatuses that support reporting enhancements for user equipments (UEs). An aerial UE may be configured to collect data based on aerial UE-specific events or based on a height-dependent area scope. For example, aerial UE events or a height-specific area scope may be utilized to trigger the collection of data. Data may be collected when a collection rule is satisfied. In some approaches, an aerial UE may collect data for height-specific automatic neighbor relation (ANR) tables. For instance, a network entity may configure a UE to report cell global identities (CGIs) of cells detected at a specific altitude or within an altitude range. Successful handover reports (SHRs) or successful primary secondary cell (PSCell) reports (SPRs) may be generated by an aerial UE using one or more data collection triggers.

The invention relates to the technical field of coal mine underground wireless communication, in particular to a time slot distribution and dormancy control method and system of a low-power-consumption wireless sensor network. The invention discloses a time slot allocation and dormancy control method for a low-power-consumption wireless sensor network, and the method comprises the following steps: S1, constructing a multi-hop tree network topology which takes a gateway as a center, and determining the neighborhood relation and the optimal path of each sensing node; s2, defining system parameters; s3, distributing native time slot numbers for all the sensing nodes; s4, distributing relay time slot numbers for all non-tail-end nodes, ignoring the tail-end nodes during distribution, and adopting a distribution principle which is the same as the original time slot number in the step S3; s5, all the sensing nodes work according to rules; and S6, the common dormancy time Tc = Tp-Nt * Ts is calculated, and Nt is the total time slot number required for completing data transmission of the whole network. Asynchronous time slot allocation and dynamic dormancy control are adopted, and the problems of high energy consumption, large interference and long delay of a synchronization scheme are solved through time-sharing awakening, conflict isolation and relay optimization.

Neighbor relation conflict prediction is performed by operations including receiving, from a serving MCG of a terminal, a measurement report of the terminal including a plurality of signal measurements associated with an SCG represented by a PCI and an ARFCN, identifying an unlisted SCG among the plurality of signal measurements, identifying one or more nearby MCG within a threshold distance of the serving MCG, counting a number of SCG in the NRT of each nearby MCG having the PCI and the ARFCN of the unlisted SCG, applying a classification model to the counted number of SCG and an MCG-PCI-ARFCN identifier representing the serving MCG, the PCI, and the ARFCN to obtain a binary value indicating whether provisioning the unlisted SCG with the serving MCG and the plurality of nearby MCG will result in PCI conflict.

The application provides an image clustering method and system based on natural neighbor search of fusion universal gravitation, and the method comprises the following steps: obtaining an image data set to be clustered; calculating the distance between each image data in the image data set according to the image data set; calculating the gravitation between each image data in the image data set based on the distance between each image data; obtaining a neighbor list of each image data based on the natural neighbor search method of fusion universal gravitation according to the gravitation between each image data; determining the neighbor relationship based on the neighbor list of each image data, and clustering the image data which are neighbors of each other into the same cluster according to the neighbor relationship to obtain an image clustering result. The image clustering method based on the natural neighbor search of fusion universal gravitation solves the problem of low accuracy of the existing image clustering method from the root.

Due to the line-of-sight nature of optical wireless communication and the limited field of view of optical receivers, the coverage of an access point (120) and the overlapping coverage area of neighboring access points (120) in an optical system are smaller compared to RF systems. Supporting secure roaming of an endpoint (110) in an optical multi-cell wireless communication network (100) becomes more challenging. To address this problem, a subsystem is disclosed that selects a candidate access point for an endpoint (110) from a plurality of access points (120) based on one or more neighbor relations and informs the endpoint (110) about the candidate access point to trigger the endpoint (110) to start a process to pre-establish a new pairwise transient key between the endpoint (110) and the candidate access point (120) for a secure handover.

The application discloses a privacy-enhanced data aggregation method supporting off-line fault tolerance and deviation correction. The method efficiently packs multi-dimensional data by using the Chinese remainder theorem, and realizes ciphertext aggregation without a fully trusted third party by introducing a collaborative mask based on neighbor relationship and a special mask shared by SM and CC, thereby guaranteeing data and identity privacy. Meanwhile, a deviation correction recovery mechanism executed unidirectionally by a control center is designed. The mechanism reconstructs a residual mask by using information such as a frozen candidate set and an effective participation set, thereby recovering a real aggregation result without requiring a node to respond secondly or an off-line node to supplement transmission. Performance evaluation shows that, compared with existing advanced schemes, DBPMDA reduces the additional communication and calculation overhead of the system in the case of device off-line, and is suitable for a resource-limited smart grid Internet of Things environment.

Based on a first ML model, neighbor relations of the cells (111, 111', 121, 131, 141) are predicted, using one or more traffic scenarios of data traffic per sector (110, 120, 130, 140) as input of the first ML model. Further, based on a second ML model, traffic distribution over the cells (111, 111', 121, 131, 141) is predicted, using the neighbor relations predicted by the first ML model as input of the second ML model. Further, based on a third ML model, performance of the cells (111, 111', 121, 131, 141) is predicted, using the traffic distribution predicted by the second ML model as input of the third ML model.

Methods and apparatus for supporting handover via efficiently updating neighbor tables in response to a detected dissimilar channel assignment, e.g., a temporary PAL channel assignment to one or more cells in a network, are described. In various cases the newly assigned temporary PAL channel has a different bandwidth and / or a different carrier frequency than the original PAL channel. The content of neighbor tables is supplemented to reflect the temporary dissimilar assignment. After the temporary assignment ends the original neighbor tables are restored.

The invention discloses a time slot resource allocation method and device, equipment and a medium, and relates to the technical field of wireless communication. According to the scheme, the neighbor table and the routing table corresponding to each node are constructed by setting the position code of each node in the train-ground wireless communication system, and the neighbor relationship between each node and other nodes and the corresponding data forwarding path information are clarified, so that a real-time network topology structure is obtained; when the node confirms that the node has a communication requirement, the target route corresponding to the node is selected according to the corresponding neighbor table and the routing table, and the time slot resource corresponding to the node is determined according to the target route, so that the coordination of optimal route discovery and dynamic time slot allocation is realized, the method can be more adaptive to the network topology change, and the flexible marshalling requirement is met; and the time slot resource utilization rate and the communication service bearing capacity are improved.

Embodiments of a method in a user equipment and base station for implementing an Automatic Neighbor Relation (ANR) procedure. In some embodiments, the method in a user equipment includes: reporting to a network node that SIB1 is currently unavailable from a neighbor cell but can be obtained on demand; requesting the neighbor cell's SIB1 on demand, based at least in part on a configuration / indication received from the network node; and performing the ANR procedure for the neighbor cell based on an On-Demand SIB1 (OD-SIB1) received from the neighbor cell in response to the request. The method in the base station includes: configuring the UE to report that SIB1 currently unavailable from a neighbor cell but can be obtained on-demand; and configuring the UE to perform the ANR procedure for the neighbor cell based on an On-Demand SIB1 (OD- SIB1).

The invention discloses a base station opening management method and device. The method comprises the following steps: acquiring station opening template data of a to-be-opened base station and station opening template data of opened base stations, determining a scene type of the to-be-opened base station through clustering analysis, determining an adjacent region of the to-be-opened base station from the opened base stations according to the scene type, and constructing an adjacent region relationship. And analyzing a neighbor relation by using a graph neural network, generating a feature representation of a to-be-opened base station, and generating a target PCI and ZC root sequence in combination with a pre-training model. And after parameter compliance is ensured through conflict verification, the target PCI and the ZC root sequence are utilized to update the station opening template and configure the to-be-opened base station, and station opening of the to-be-opened base station is realized. The technical problems that a traditional base station opening process depends on manual configuration of PCI and other parameters, the process is tedious and the efficiency is low are solved.

The invention provides a common neighbor relation mining method and system based on graph calculation and mass data, and the method comprises the steps: 1, constructing a concept metadata system; step 2, performing data acquisition from the information system to be mined, and obtaining an instance of the concept according to the concept metadata system; step 3, unified coding: coding attributes in the instances; 4, the codes and the corresponding examples are stored in a graph database in a distributed storage mode; 5, relation mining is carried out, instance extraction is carried out from distributed graph storage, common neighbor discovery among instances is carried out according to coding characteristics, rule filtering is carried out according to preset rules, and a recommendation relation is generated; the system is used for implementing the method. The method can be widely applied to the fields of social network analysis, recommendation system optimization and the like, and an efficient solution is provided for relation mining of mass data.

Aspects of the subject disclosure may include, for example, determining, in relation to a communication node, a neighboring node of a wireless network, wherein the neighboring node comprises a baseband processor in communication with a radio frequency (RF) subsystem. A determination is made regarding one of a spatial configuration, a hosting infrastructure configuration, or both, of the neighboring node. The spatial configuration includes one of a divided configuration, including geographically separated centralized and a distributed baseband units, and an undivided configuration including an undivided baseband unit. The hosting infrastructure configuration distinguishes a physical configuration having the baseband processor includes dedicated compute resources allocated to the node, from a virtual configuration having a virtual baseband processor hosted on shared compute resources. An association between the spatial configuration, the hosting infrastructure configuration, or both, and the neighboring node facilitates mobility within the wireless communication network. Other embodiments are disclosed.

The invention discloses a network energy-saving method and device, and belongs to the technical field of networks. The network energy-saving method comprises the following steps: acquiring the path loss and / or neighbor relation of each AP in a plurality of APs in a network; obtaining the physical position information of each AP in the plurality of APs, wherein the physical position information of any AP indicates the deployment position of any AP; and determining at least one first AP in the plurality of APs based on the path loss and / or neighbor relationship of the plurality of APs and the physical location information of the plurality of APs, each first AP corresponding to one target energy-saving group, and any first AP being used for providing an associated service for a terminal intending to access the target energy-saving group when the corresponding target energy-saving group is in an energy-saving state. According to the invention, the basic signal coverage of the first AP in the target energy-saving group on the target energy-saving group in the energy-saving state can be ensured to a greater extent, and the risk of signal coverage loopholes when the network is in the energy-saving state is reduced.

The present disclosure provides an automatic neighbor relation measurement method, device and storage medium, wherein the automatic neighbor relation measurement method comprises the following steps: in response to an ANR measurement configuration issued by an original base station, performing a re-establishment with a target base station; and according to the ANR measurement configuration, acquiring public gateway interface information of the target base station and configuration information of a core network device connected to the target base station.