70 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.

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.

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 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.

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 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.

Embodiments of the present application provide a network switching method, device, equipment, storage medium and program product. The method comprises: monitoring the network of a current serving cell in real time by a terminal device; when it is determined that the signal quality data of the current serving cell is lower than a first preset threshold and the duration exceeds a first preset time, constructing an available cell list according to a real-time updated database cell table, and measuring the signal quality of the cells in the available cell list based on a preset measurement strategy, thereby determining a target cell, and when the target cell is a cellular cell, switching the network to a cellular network corresponding to the cellular cell, and when the target cell is a satellite cell, switching the network to a non-terrestrial network corresponding to the satellite cell. The method is used to improve the stability and reliability of the network transformation process of the terminal device, realize smooth and rapid transformation of the cell network, and enhance the continuity and service stability of the terminal service.

The invention belongs to the technical field of autonomous navigation, and particularly relates to an autonomous navigation method based on brain-like nerve calculation, a program, equipment and a storage medium. According to the method, a cranial nerve-like calculation mechanism is introduced, and bionic path integration, orientation coding and scene memory are realized in combination with three-dimensional grid cells, head orientation cells and local view cells; four-degree-of-freedom attitude representation is adopted, so that the calculation complexity is reduced while the three-dimensional navigation capability is ensured; through a multi-layer experience map and loopback detection, the accumulative error of path integration is effectively inhibited, and the stability of long-term navigation is enhanced; and a feedback correction mechanism is set, so that the internal state of the cellular network is adaptively updated, and the robustness of the system in a dynamic and complex environment is improved. The method has good biological rationality and engineering feasibility, and can be applied to various autonomous systems such as unmanned aerial vehicles, unmanned vehicles and underwater vehicles.

This invention provides a multi-scale localization cell modeling method for biomimetic SLAM, belonging to the field of biomimetic localization and mapping technology. The scale parameters of the grid-head-oriented cell network at each scale are determined by the modulus coprime of the remainder system. The location cell firing activity is obtained by jointly decoding the multi-scale GHD cell network through population vector decoding and remainder decoding. During the decoding process, a multi-scale grid cell activity stabilization mechanism is designed to stabilize the firing activity of the multi-scale GHD cell network, obtaining stable GHD cell firing activity. Without significantly increasing the computational complexity of the localization cell model, this invention can significantly improve the spatial encoding capability of the localization cell module, thereby improving the localization and mapping performance of the biomimetic SLAM system in complex environments.

The embodiment of the application provides a reconfigurable metasurface assisted cell-free MIMO network parameter configuration method, which comprises the following steps: quantitatively modeling a target deployment area, establishing a system model of a cell-free MIMO network; based on the system model, establishing a direct channel, an incident channel and a reflection channel, and constructing an equivalent composite channel model of a user receiving end; based on the equivalent composite channel, establishing a base station side zero-forcing beamforming model; based on a user receiving signal, constructing a signal-to-interference-and-noise ratio and average ergodic rate model; based on a composite interference channel, constructing an interference power distribution and Laplace transform model; and based on coverage rate analysis results, determining an optimal parameter configuration result of the reconfigurable metasurface assisted cell-free MIMO network. The embodiment of the application solves the technical problem of how to jointly determine reconfigurable metasurface deployment parameters according to different service environments in the reconfigurable metasurface assisted cell-free MIMO network, so as to maximize the system average ergodic rate.

The application relates to a joint precoding and stream number allocation method, belonging to the mobile communication technology, and used for solving the problems of the existing cell-free network precoding method, such as complexity, inflexible stream number allocation and low system capacity. The scheme establishes a target function about the system capacity, takes the maximum transmission power of each base station and the maximum receiving stream number of each user as constraint conditions, takes the maximization of the system capacity as the target, and proposes a method for jointly solving the optimal precoding and the base station transmission stream number. The method has low precoding matrix solving complexity, and can realize the stream number allocation calculation as linear level.

Systems and methods for air interface entity-to-air interface entity interfaces in cell-free networks are discussed herein. An initiator air interface entity of a cell-free network using dynamic associations of air interface entities and cloud entities receives, from a cloud entity, an instruction to transition a state of an eXn interface between the initiator air interface entity and a responder air interface entity from a starting state to an active state; transitions, in response to the instruction, the eXn interface to the active state; and performs cross-air-interface-entity communication with the responder air interface entity over the eXn interface after the eXn interface is transitioned to the active state. Mechanisms of transitioning eXn interfaces to an inactive state or a standby state are also discussed. Corresponding behaviors for responder air interface entities are discussed. Corresponding behaviors for cloud entities are also discussed.

The application discloses a spatial domain identification method and device for biological spatial transcriptome slices, comprising the following steps: constructing a spatial neighbor cell network according to the spatial position information of cells in a noisy spatial transcriptome slice; constructing a gene expression cell network according to the gene expression data in the preprocessed noisy spatial 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 graph according to the spatial features and the gene expression features; and performing unsupervised clustering of cells in the noisy spatial transcriptome slice based on the leiden algorithm according to the cell affinity graph to realize spatial domain identification of the noisy spatial transcriptome slice. The application converts the analysis and spatial domain identification of the noisy spatial transcriptome slice into a network clustering problem, further reduces the influence of noise existing in the gene expression data from a global level, and realizes accurate spatial domain identification.

This application discloses an access control method and apparatus, and a communication device. The method includes: receiving first information sent by a network device of a first cell; and performing a first operation according to the received first information, where the first operation includes any one of the following: determining whether the first cell supports a second-type terminal; or determining whether the first cell allows access or camping of a second-type terminal.

The invention relates to biocompatible electrically conducting and preferably optically transparent hydrogels, to a 3D printing method of forming such biocompatible electrically conducting and / or optically transparent hydrogels, to a method for developing functional cell networks from human induced pluripotent stem cells, to a 3D bioelectric platform comprising said 3D-printed biocompatible electrically conducting and / or optically transparent hydrogels and a method of creating the same, and to the use of said hydrogels.

The present disclosure relates generally to wireless communications, and more particularly to synchronization of a mobile station with a wireless network and cell / network search by a mobile station. Various example implementations disclosed herein provide a two-stage initial access procedure for a mobile station to synchronize and connect with multiple access points (APs) in a cell-free network to avoid first accessing the network in a cellular manner and then performing a cell change or handover procedure to synchronize and connect with the cell-free network.

This invention discloses an optimization method for a terrestrial integrated planetary-terrestrial cellless network, belonging to the field of wireless communication. The invention constructs an optimization problem for a terrestrial integrated planetary-terrestrial cellless network with maximum sum rate (MSR) and maximum minimum fairness (MMF) as optimization objectives. By adopting maximum sum rate as the optimization objective, spectral efficiency is maximized while meeting the TU / ES service quality requirements of each terminal user. By employing maximum minimum fairness in beamforming design, the fairness of the terrestrial cellless network is guaranteed, maximizing the total rate of the satellite downlink multicast network. The stability of beamforming is ensured by introducing constant modulus constraint CR1, and service fairness among users is guaranteed by fairness constraint CR2. This invention transforms the MSR-based joint precoding problem into an equivalent quadratic constrained quadratic programming (QCQP) problem through fractional programming, alternating optimization, and successive convex approximation methods. An ADMM-based algorithm is used to optimize the terrestrial integrated planetary-terrestrial cellless network, significantly reducing the computational complexity of the optimization.

A Method of UE's Location Based AP Clustering & Beamforming for Cell-Free Networks The invention relates to a method of UE's location based AP clustering & beamforming for cell-free networks.