104 results about "Cell network" patented technology

A spatial omics multi-modal fusion method under a single cell level comprises the following steps: extracting spatial morphological characteristics of differential expression genes and cell nucleuses from spatial transcriptome data, single cell sequencing data and histological images, and realizing field adaptation among different platforms by using a conditional variation auto-encoder. And based on a probability inference model, fusing spatial transcriptome expression, unicellular omics and morphological characteristics, and jointly inferring the type and gene expression level of each cell. A spatial cell network is constructed through a graph attention mechanism, and spatial diffusion and recognition of cell types in a full slice range are realized. In combination with a multi-omics enhancement module, undetected gene and protein expression is completed based on expression similarity, and prediction consistency is improved through spatial correction. According to the method, high-resolution reconstruction of single-cell multi-omics information in a three-dimensional space is realized, the information coverage and spatial resolution of spatial omics data are improved, and an efficient and low-cost solution is provided for spatial biology and precise medical research.

The invention discloses a Grapher-based no-cell network power control method, which comprises the following steps of: constructing a no-cell network adopting a time division duplex mode, defining an uplink training model to carry out channel estimation, and defining a downlink data transmission model to pre-code downlink data symbols based on an estimated channel; constructing graph structure data based on the cell-free network, the distributed access point and the user equipment; building a neural network model based on a Grapher; according to the constructed graph structure data, the graph structure information is coded to fully extract the global and local information of the network, the Grapher-based neural network is trained to obtain a trained Grapher-based neural network model, and based on the transmission power of the distributed access point and the receiving noise of the user equipment, the distributed access point is determined to be a new one. And according to a channel between the distributed access point and the user equipment, realizing cell-free network power control by using the trained Grapporter-based neural network model.

The embodiments of the present application relate to the technical field of communications. Provided are a cell handover method, and a device, a storage medium and a product. The method comprises: an original cell network device sending handover configuration information to a terminal device, wherein the handover configuration information is used for configuring a candidate cell to perform a conditional LTM cell handover when an execution condition is met; and when obtaining, by means of evaluation, a candidate cell meeting the execution condition, the terminal device accessing a target cell by using a beam of the candidate cell meeting the execution condition, so as to complete a cell handover. In this way, the handover robustness can be improved.

The invention discloses a cell network interference coordination method, a target cell comprises a first network and a second network, and the method comprises the following steps: obtaining a target allocation number of the second network to the first network of the target cell in a preset period; obtaining a second network allocation number of each neighbor cell of the target cell in the preset period; if the second network allocation number of any adjacent cell in the adjacent cells is smaller than the target allocation number, taking the adjacent cells as interference cells; determining effective resources of an overlapping area of the target cell and the interference cell; and allocating effective resources to the first network users in the overlapping area of the target cell and the interference cell. According to the invention, the interference of the adjacent cell on the target cell can be avoided.

The present application provides a network resource scheduling method, device and storage medium, wherein the method includes: obtaining the cell network unit identifier to be scheduled and the average resource quantity of the time-frequency resources occupied by each user terminal in the cell network unit corresponding to the identifier within a preset time period, determining the user terminal whose average resource quantity exceeds the user resource threshold as the first reduced user terminal; based on the service attribute of the user corresponding to the user terminal, determining the first reduced user terminal whose service attribute is that the user time-frequency resources can be reduced as the second reduced user terminal; performing time-frequency resource reduction processing on the second reduced user terminal, and allocating the time-frequency resources to be allocated obtained after the reduction processing to the user terminal that has not been allocated the resources. The method of the present application solves the problem that the existing resource scheduling method is inflexible in the reduction processing of the user terminal to be reduced.

The embodiment of the invention provides a cell switching method and device, a storage medium and a product, and relates to the technical field of communication. The method comprises the following steps: an original cell network device sends switching configuration information used for configuring a candidate cell to carry out conditional LTM cell switching when an execution condition is satisfied to a terminal device, and when the terminal device evaluates the candidate cell satisfying the execution condition, the terminal device adopts a beam of the candidate cell satisfying the execution condition to access to a target cell, and thus, cell switching is completed. In this way, the switching robustness can be improved.

The invention relates to a cell network optimization method and device, equipment, a storage medium and a product, and relates to the technical field of communication. The method comprises the following steps: acquiring a performance index matrix of a target cell cluster; the target energy-saving strategy is simulated and executed based on the performance index matrix of the target cell cluster to obtain a simulation execution result, the target energy-saving strategy is an energy-saving strategy in the strategy iterative optimization process, and the energy-saving strategy comprises at least one of the following: changing the activation state of each cell and changing the activation state of each cell; adjusting a target parameter, used for adjusting the coverage range of the cell, of the cell under the condition that the user perception condition is met; evaluating the simulation execution result based on the comprehensive optimization target to obtain an evaluation result; the comprehensive optimization target is constructed based on a user perception index and an energy-saving index; if the evaluation result reaches an optimization completion condition, executing a target energy-saving strategy; through the method, the perception experience of the user is ensured while the energy is saved, and the energy conservation of the base station and the effective optimization of the cell load are realized.

The present application discloses a cell network interference coordination method. A target cell comprises a first network and a second network, and the method comprises: acquiring a target allocation quantity from the second network to the first network of the target cell in a preset period, and a second network allocation quantity of each neighbor cell of the target cell in the preset period; if the second network allocation quantity of any neighbor cell among the neighbor cells is smaller than the target allocation quantity, taking the neighbor cell as an interference cell; determining effective resources of an overlapping area of the target cell and the interference cell; and allocating the effective resources to a first network user in the overlapping area of the target cell and the interference cell.

This application provides a communication method, communication device, storage medium, and communication system, relating to the field of communication. The method includes: a network device sending initial data to a terminal through a first cell; the network device sending retransmitted data corresponding to the initial data to the terminal through multiple time slots of a second cell; wherein the second cell is a cell other than the first cell among the cells corresponding to the terminal. The network device can determine whether the retransmitted data can be transmitted through one time slot of the retransmitted cell. If the retransmitted data cannot be transmitted through one time slot of the retransmitted cell (e.g., the second cell), multiple parts of the retransmitted data can be transmitted through multiple cells of the retransmitted cell. Therefore, not only can the retransmitted data be transmitted, but the probability of data retransmission errors can also be reduced, improving the transmission efficiency of the retransmitted data.

This invention relates to the field of aluminum foam technology and discloses a method for producing closed-cell aluminum foam by blowing, comprising the following steps: (1) raw material preparation; (2) aluminum melt preparation; (3) foam stabilizer mixing; (4) blowing foam; (5) cooling and shaping. This invention forms a closed-loop control system throughout the entire process by orderly coordinating key links such as coating foam stabilizer, melt purification and activation, pre-dispersion mixing, dynamic temperature and pressure foaming, and gradient cooling and shaping: the coating foam stabilizer provides a stable bubble core, the purified and activated melt provides a strong pore wall matrix, pre-dispersion and composite stirring ensure uniform distribution of bubbles throughout the entire area, dynamic temperature and pressure and vibration achieve precise bubble growth, and gradient cooling ensures a stable final structure without cracks. Each step supports and reinforces the others, forming a continuous, uniform, and complete closed-cell network inside the aluminum foam, significantly improving the closed-cell rate, pore size uniformity, and compressive mechanical properties.

Embodiments of the present application provide a cell switching method, device, storage medium and product, and relate to the technical field of communication. The method comprises: a network device of an original cell sending switching configuration information for configuring a candidate cell to perform conditional LTM cell switching when a condition is met, to a terminal device; and the terminal device accessing a target cell by using a beam of the candidate cell that meets the condition, to complete cell switching, when the terminal device evaluates that the candidate cell meets the condition. In this way, the switching robustness can be improved.

The invention relates to the field of neural network bionics, in particular to a bionic neural network construction method and system, and the method comprises the steps: obtaining a fluctuation threshold value of each neuron cell, and expanding an input dimension for each neuron cell according to the fluctuation threshold value; establishing a corresponding forward network for each neuron cell, and performing network delay dimension expansion on each neuron cell according to the time delay value of each directed edge in the process of establishing each forward network; performing sample recombination on the input sample according to a dimension expansion result; and the weight of the fluctuation threshold input dimension is fixed to train the bionic neural network to be trained. Compared with the prior art, the method has the advantages that the input dimension is expanded for each neuron cell through the fluctuation threshold, and the network delay dimension expansion is carried out on each neuron cell containing the fluctuation threshold; and the trained bionic neural network can better utilize the fluctuation threshold and the network after delay dimension expansion of each neuron cell network to realize quantification and simulation of the biological neural network.

A communication method (400) and a communication apparatus (800), relating to the field of communications, which are conducive to reducing the data volume of auxiliary data received by a terminal device, reducing the complexity and power consumption of the terminal device, and saving signaling overhead. The communication method (400) comprises: a network device determines first auxiliary data, the first auxiliary data indicating information of at least one satellite corresponding to a first area, and the first area belonging to a cell of the network device (S401); the network device sends the first auxiliary data, and correspondingly, a first terminal device receives the first auxiliary data (S402); and on the basis of the first auxiliary data, the first terminal device receives a signal from one or more satellites among the at least one satellite (S403).

The invention discloses a method and a device for judging network access perception degradation, electronic equipment and a storage medium. The method comprises the steps that a first object of a target line is determined, the target line comprises a plurality of first cells, and the first cells are the network coverage range of a communication base station of each high-speed rail station on the target line; determining a third index based on the association degree of the first index and the second index; the first index is a key quality index of each first cell network, and the second index is an index of a network operation state and network technical performance of each first cell; the third index is a first index strongly related to the internet surfing perception of the first object; determining a first index threshold value of the third index, and determining a second object based on the third index and the first index threshold value; the second object is an object with degraded internet access perception in the first object; and determining the distribution condition of the second object in each first cell, and determining an abnormal cell according to the distribution condition. According to the method, the wireless network sensing condition of the high-speed rail line can be accurately judged.

The present disclosure relates to network configuration options for coexistence of reduced capability devices with legacy new air interface devices. The present disclosure relates to improved network configuration options that enable reduced capability (Redcap) devices to coexist with legacy devices. A master information block (MIB) cellBarred indication received by a Redcap device in a synchronization system block (SSB) may be ignored by the Redcap device, which may read the system information block 1 (SIB1) to determine whether to connect to a cell defined by the received SSB. If the SIB1 includes a cellBarred indication for a Redcap device, the Redcap device may consider the cell to be barred. The Redcap device may alternatively search for an alternative SSB indicated by the SIB1 to determine whether to connect to a cell defined by the alternative SSB. A network node may broadcast a Redcap-specific SSB and a legacy-specific SSB at the same frequency location in a time division multiplexed manner, where each type of device determines cell access based on the received specific SSB. The network node may transmit an SSB burst specifically for Redcap devices.

The present invention discloses a broadband capacity optimization method and device. The method includes: replacing some base stations in a cell-free network with an intelligent reconfigurable surface (RIS) to construct a RIS-assisted cell-free network system model; designing a joint precoding problem in the RIS-assisted cell-free network system to maximize the user sum rate by jointly optimizing the active precoding at the base station and the passive precoding at the RIS; introducing auxiliary variables: the RIS phase shift matrix Θ and the precoding vector matrix W, to transform the joint precoding problem into an optimization problem of Θ and W; and using a deep reinforcement learning algorithm to optimize the phase shift matrix Θ and the precoding vector matrix W, respectively, to achieve optimal solutions for both Θ and W, thereby maximizing the user sum rate performance and achieving broadband capacity optimization. The broadband capacity optimization method provided by the present invention can effectively solve the cost and power consumption problems of cell-free networks.

A single-cell level spatial omics multi-modal fusion method, comprising: extracting differential expression genes and nuclear spatial morphological features from spatial transcriptome data, single-cell sequencing data and histological images, and realizing field adaptation between different platforms by using conditional variational autoencoder. Based on a probability inference model, spatial transcriptome expression, single-cell omics and morphological features are fused to jointly infer the type and gene expression level of each cell. A spatial cell network is constructed by a graph attention mechanism to realize the spatial diffusion and recognition of cell types in the whole slice range. Combined with a multi-omics enhancement module, the unmeasured gene and protein expression are completed based on expression similarity, and the prediction consistency is improved through spatial correction. The method realizes high-resolution reconstruction of single-cell multi-omics information in three-dimensional space, improves the information coverage and spatial resolution of spatial omics data, and provides an efficient and low-cost solution for spatial biology and precision medicine research.

This invention provides a stable transmission method, system, and medium for high-concurrency industrial data streams, relating to the field of data transmission technology. The method includes: dynamically grouping industrial field devices to obtain multiple groups of edge autonomous devices, constructing multiple local self-organizing cell network topologies; forming a globally optimized topology based on inter-group logical coupling relationships; performing distributed collaborative verification to obtain multiple valid data streams; performing cross-cell network data association verification to obtain W verified compliant data packets; after time-series packet encoding, reassembling them into an asynchronous transmission channel sequence according to deterministic transmission delay requirements, transmitting them to a central computing platform, and then performing time-series packet decoding, restoration, and storage. This invention solves the technical problem in existing technologies where industrial data transmission typically employs a centralized architecture, which easily creates bottlenecks in the data transmission path, leading to increased data transmission latency or even data loss, thereby reducing the overall system's response speed and security.

Systems and methods for clustering in a cell-less network are described herein. A cluster of one or more base stations provides radio access network (RAN) functionality to user equipments (UEs) within a wireless communication system in a cell-free manner (e.g., without using base station-centric cell context, such as in an existing wireless communication system). The cluster serving the UE includes one or more connected base stations (cBSs) actively serving the UE. A cluster control function (CCF) of a network establishes and maintains a cluster serving one or more UEs. Herein, messaging systems and messaging types used by the CCF, the base station, and the UE in the cell-free context are discussed. An initial clustering method for forming a cluster of UEs by a CCF is discussed. Further, a cluster update method used by the CCF to maintain / modify a cluster of UEs is discussed.

Embodiments of the present application relate to the technical field of communications, and provide a candidate primary cell configuration information processing method, device, a storage medium, and a product. The method comprises: a terminal device receives first indication information sent by an original primary cell network device, the first indication information being used for indicating a processing policy for layer 1 / 2 triggered mobility (LTM) candidate primary cell configuration information when a CHO-based primary cell change occurs; and the terminal device reserves or releases the LTM candidate primary cell configuration information on the basis of the first indication information. Thus, effective management of LTM candidate primary cell configuration information is achieved.

The embodiment of the invention provides a network switching method and device, equipment, a storage medium and a program product. The method comprises the following steps: monitoring a network of a current service cell in real time through a terminal device, when determining that signal quality data of the current service cell is lower than a first preset threshold value and the duration time exceeds a first preset time, constructing an available cell list according to a database cell table updated in real time, and based on a preset measurement strategy, determining that the signal quality data of the current service cell is lower than the first preset threshold value and the duration time exceeds the first preset time; and measuring the signal quality of the cells in the available cell list to determine a target cell, switching the network to a cellular network corresponding to the cellular cell when the target cell is the cellular cell, and switching the network to a non-ground network corresponding to the satellite cell when the target cell is the satellite cell. The method is used for achieving the effects of improving the stability and the reliability of the network conversion process of the terminal equipment, realizing smooth and rapid conversion of a cell network and enhancing the continuity and the service stability of terminal service.

The invention discloses a composite material damage prediction method and system, and relates to the technical field of composite materials, and the method comprises the following steps: generating a plurality of weights corresponding to a plurality of pre-trained voxel network models based on the actual process parameters of a target composite material; obtaining stress and strain of each integral point in the target composite material finite element model, inputting stress and strain data into a pre-trained unit cell network, and outputting a mesoscopic damage prediction result; the input of the unit cell network in the pre-training process is the average stress and strain of a plurality of voxels in a voxel grid, and the output is the average damage variable of the plurality of voxels; and combining the plurality of weights to obtain a weight vector, weighting the mesoscopic damage prediction and the weight vector, and outputting a damage prediction result of the target composite material under multiple scales. Unified and adaptive mesoscopic damage prediction is realized, and the accuracy of a prediction result is improved.

The application provides a cell transmission power control method and device, electronic equipment and storage medium, and relates to the technical field of communication. The method comprises: obtaining a cell network state data set of a first period; wherein the cell network state data set comprises neighbor cell relationship information between each cell, first network state information of each cell at each time in the first period, connection relationship information between each cell and a user terminal, and second network state information of each connected user terminal at each time; and determining a transmission power prediction result of each cell according to the cell network state data set, so as to control the transmission power of each cell. The application fully utilizes the neighbor cell relationship between each cell, the connection relationship between each cell and the user terminal, and the network state information of each cell and each connected user terminal, to predict the transmission power of each cell.

Embodiments of the present application provide a kind of old equipment cell identification method, device, electronic equipment and storage medium.The method comprises: obtaining current base station operating parameter table, first minimization of road test data, historical base station operating parameter table, second minimization of road test data and idle equipment database historical data;Extract target cell network equipment serial number and historical cell identification information;Comparison sequence number obtains matching result;Based on minimization of road test data and identification information, by effective sampling point screening, raster processing, centroid latitude and longitude calculation, obtain target and historical coverage range centroid latitude and longitude and comparison, obtain coverage discrimination result;Two results are combined to determine whether the target cell is old equipment cell.The method is combined with equipment serial number traceability and historical cell space-time coverage information, accurately determines the correlation between current cell and historical cell, and improves the accuracy of old equipment cell identification result.

Embodiments of the present application disclose a cell portrait information determination method and device and electronic equipment, which are used for more effectively portrait a wireless cell. The method comprises: performing grid division on a three-dimensional electronic map containing a plurality of cells; determining three-dimensional grids in which users in the plurality of cells are located, and processing network performance indexes of the plurality of users in each three-dimensional grid to obtain network performance indexes of the three-dimensional grids; constructing a multi-relationship network model based on at least one of a common coverage relationship and a configuration handover relationship of the plurality of cells; determining Pagerank contribution degrees of the three-dimensional grids covered by the plurality of cells to a network performance index of a certain cell based on the network performance indexes of the three-dimensional grids covered by the plurality of cells and the multi-relationship network model; and aggregating the network performance indexes of the three-dimensional grids covered by the plurality of cells according to the Pagerank contribution degrees to obtain portrait information of a first cell.

Apparatuses and methods for configuring and using a medium access control (MAC) tower in a cell-less network are discussed herein. A cell-less network includes a cluster of base stations serving UEs. When MAC entities in a MAC tower use at least a single common base station and connect to the same set of RLC entities according to a sub-cluster of the cluster, the set of MAC entities used / usable within the cluster can be configured as a MAC tower from a network perspective. MAC level operations (e.g., MAC level scheduling) can then be performed on a MAC tower basis. Embodiments detailing the configuration and use of such MAC towers in a cell-less network, including the selection of anchor base stations for these MAC towers, are discussed. Embodiments of hybrid automatic repeat request (HARQ) operations using MAC towers in a cell-less network are also discussed.

The embodiment of the present application provides a kind of network interoperability evaluation method, device and electronic equipment, the method comprises: according to the first data of interoperability, the interoperability type of the interoperability is determined, and the first data is associated with the first model corresponding to the interoperability type, obtain second data;Second data is associated with the third data of the interoperability and is integrated into fourth data;By preset time sequence modeling method, according to the fourth data, the index time sequence atlas of the interoperability is obtained;According to the index time sequence atlas, by preset evaluation standard, the evaluation result of the interoperability is obtained.By the embodiment of the present application, the interoperability is more simply and reasonably evaluated, and data support is provided for network planning and optimization, so that the quality of cell network and residence ratio can be effectively improved by adjusting the strategy of interoperability.

This invention provides a method for allocating user resources in a cellless network based on CVaR and reinforcement learning. The method includes: acquiring the state information of the cellless network at the current time step and inputting it into a reinforcement learning network to determine the action information at the current time step; allocating resources to each user according to the action information at the current time step and transitioning to the next time step; the reinforcement learning network is trained based on a CVaR-constrained target risk-aware advantage function, which includes a penalty term that explicitly imposes fairness constraints on the communication rate of the tail users in each user group at the current time step, and the communication rate of each user at the current time step is determined by the resources allocated to that user at the current time step. This invention ensures fairness in resource allocation among users.

The invention relates to a cell-less network. A network device is provided that maintains a first data set indicating neighboring network devices and a second data set indicating one or more user IDs, respectively. One second data set is associated with the network device, and each of the other second data sets is associated with a neighboring network device of the first data set. The network device receives signals from user equipment, where each signal includes a respective user ID and a respective payload of one user equipment. The network device separates one or more signals to obtain the respective user ID and payload and sends first exchange information to each neighboring network device associated with a second data set comprising at least one obtained respective user ID in the first data set. The transmitted first exchange information includes at least one acquired respective user ID and a respective payload.

The invention discloses a spatial domain identification method and device for a biological spatial transcriptome slice. The method comprises the following steps: constructing a spatial neighbor cell network according to spatial position information of cells in a noisy spatial transcriptome slice; constructing a gene expression cell network according to gene expression data in the preprocessed noisy space transcriptome slice; performing joint feature decomposition on the spatial neighbor cell network and the gene expression cell network through non-negative matrix decomposition to obtain spatial features and gene expression features; constructing a cell affinity map according to the spatial characteristics and the gene expression characteristics; and unsupervised clustering of cells in the noisy space transcriptome slice is carried out according to the cell affinity map based on a leidin algorithm so as to realize spatial domain identification of the noisy space transcriptome slice. According to the method, analysis of noisy space transcriptome slices and spatial domain recognition are converted into network clustering, the influence caused by noise existing in gene expression data is further reduced from the global level, and accurate spatial domain recognition is achieved.