42 results about "Cell network" patented technology

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).

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 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.

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.

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 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.

The application provides a robot positioning mapping method based on a visual cortex and hippocampus space coding, and the method comprises the following steps: acquiring linear velocity and angular velocity through a wheel encoder and an inertial measurement unit, and obtaining robot pose information through path integration; collecting scene images by using a camera and extracting GIST features, obtaining a winning cell in a view cell network through Euclidean distance matching, updating weights, and introducing a posteriori entropy adaptive threshold to perform robust scene matching; storing the pose information and the successfully matched weight vector into a hippocampus CA1 area location cell, eliminating cumulative errors through iterative optimization, controlling the map size through space density redundancy pruning, and adopting a hierarchical switching strategy to perform scale stretching optimization, so that fast mapping is realized. Through simulating a biological space coding mechanism, the application improves scene recognition robustness, positioning consistency and mapping efficiency, and is suitable for intelligent navigation of a mobile robot.

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 application discloses a resource allocation method of a semantic communication system based on deep reinforcement learning. A multi-cell intelligent semantic processing center collects sending data and receiving data of communication through each base station, obtains a mapping table of BLEU scores of the semantic communication system changing with signal-to-noise ratio by using a Transformer model, and obtains a bit-to-semantic (B2M) conversion curve by fitting the mapping curve, so as to obtain semantic throughput of the system through a bit rate; an auxiliary system of a knowledge base is introduced; a multi-cell network user sub-channel allocation mode and a power allocation mode are determined, transmission bit rates of each cell are obtained, semantic throughput of a single cell is obtained through the B2M conversion curve; an optimization problem is obtained, a final semantic resource allocation scheme to be optimized is obtained by simplifying the problem; a resource allocation network Semantic-JCP is designed and built, and sub-channel allocation and power allocation under the condition that the semantic throughput of the multi-cell system is maximum are finally obtained after solving the resource allocation problem.

The invention belongs to the technical field of monitoring equipment, and particularly relates to a laying device and method for a monitoring equipment antenna in a community pipe network inspection well, the device comprises a supporting assembly, the supporting assembly comprises a supporting plate, and a supporting frame is arranged below the supporting plate; the mounting frame is composed of a top plate, a bottom plate and a connecting rod; the drilling assembly comprises an electric drill and a drill rod, and the end, away from the electric drill, of the drill rod is in threaded connection with a drill bit; the driving assembly is arranged on the bottom plate and used for driving the electric drill to linearly move in the length direction of the bottom plate; by arranging the drilling assembly, the driving assembly, the angle adjusting assembly and other structures, drilling is conducted from inside to outside of a well, and a cement pavement does not need to be excavated in the construction process; in addition, the signal transmitting antenna is arranged on the ground surface, so that signals transmitted by the monitoring equipment are prevented from being blocked, and the signal strength is ensured.

Antimicrobial Material which is a wound care material comprising: a flexible polymer foam or fibre matrix comprising a wound facing face and a reverse face or two wound facing faces and therebetween a structural matrix defining a cell network of cells, and a powder charge comprising a wound dressing additive, wherein said powder charge is comprised at said wound facing face or said reverse face and within said cell network, wherein said powder charge is within said cell network in diminishing amount with increasing depth within said cell network, and wherein more than 50% of the powder charge is present within 0.8 mm from a surface of the flexible polymer foam or fibre matrix, wherein said power charge comprises flowing agent and / or bulking agent and / or binder and wherein said additive and / or flowing agent is co-located with said bulking agent and / or said binder; devices comprising said material, methods for manufacture thereof comprising assembling said matrix and said powder charge, and use thereof. -106- 21014240_ (GHMatters) P112744 AU.1 20 24 20 55 94 07 A ug 2 02 4 A B S T R A C T 2 0 2 4 2 0 5 5 9 4 0 7 2 0 2 4 A u g - 1 0 6 -

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 application discloses a terminal scheduling method, device and equipment and a storage medium. The method comprises the following steps: determining whether a switching band of a frequency band supported by a first terminal exists in a corresponding adjacent cell of a resident beam of the first terminal which does not support a full frequency band; if the switching band does not exist, determining that the resident beam is a non-continuous coverage beam; when the resident beam is the non-continuous coverage beam, determining that the first terminal which resides in the non-continuous coverage beam is a second terminal, and determining whether the second terminal has a risk of being disconnected from a network; if the second terminal has the risk of being disconnected from the network, determining a scheduling strategy for scheduling the second terminal based on acquired state information of the second terminal and network states of each cell of a cell in which the second terminal is located and corresponding adjacent cells of the cell; and scheduling the second terminal based on the scheduling strategy. The application can reduce the risk of the terminal which does not support the full frequency band being disconnected from the network.

A computer-implemented method, executed by a data processing hardware (118), that causes the data processing hardware (118) to perform operations, comprising: Transmitting an initial wireless communication from a user device (100) via an initial cell network (300a), wherein the initial wireless communication includes a current geographic location of the user device (100), the initial cell network (300a) comprises an authorized cell network (300A) in which the user device (100) is authorized to use it for wireless communications, and the user device (100) maintains a prohibition list (306) that identifies one or more cell networks in which the user device (100) is not authorized to use it for wireless communications; Determine, based on the current geographic location of the user device (100), that the user device (100) is approaching a geofence (12), wherein the geofence (12) comprises a geographic boundary between a first network coverage area (302a) of the first cell network (300a) and a second network coverage area (302b) of a second cell network (300b), the second cell network (300b) being identified in the prohibition list (306); Removing the second cell network (300b) from the prohibition list (306) based on the determination that the user device (100) is approaching the geofence (12), and Transmitting a second wireless communication from the user device (100) over the second cell network (300b) when the second cell network (300b) has been removed from the prohibition list (306) and based on the user device (100) entering the second network coverage area (302b), wherein the second wireless communication includes an updated geographic location of the user device (100).

The invention provides a cell network fallback information determination method and device, electronic equipment and a storage medium, and belongs to the technical field of communication, and the method comprises the steps: carrying out the rasterization of a to-be-processed region, and carrying out the statistics of the average RSRP of a grid cell in each grid; a target area is determined based on the grid service proportion, the grid service proportion is the service proportion corresponding to the average RSRP of the grid cells, the service proportion reflects the correlation degree of one grid and the target service, and the target area is the area with high incidence of the target service in the to-be-processed area; taking an intersection area of the target area and the first network cell as a to-be-evaluated area; and determining a network fallback mode of fallback from the first network to the second network in the first network cell and frequency point priority configuration information based on the grid cell average RSRP and frequency point characteristics of the to-be-evaluated area. According to the invention, the network fallback scheme making cost and difficulty can be reduced, and the setting accuracy of the network fallback scheme is ensured.

The present application relates to the technical field of concrete modeling, and particularly relates to a non-homogeneous concrete automatic modeling method based on a topological disordered six-directional connection grid, which comprises the following steps: dividing a concrete test piece into a plurality of layers of lamellas, establishing a unit cell grid in each layer of lamellas, and forming a three-dimensional unit cell network structure; generating random nodes in each unit cell based on a set random degree parameter, and performing minimum distance checking on the distance between the nodes to form a random node set; six-directionally connecting the random nodes in each unit cell with the nodes in adjacent unit cells to construct a topologically disordered three-dimensional lattice unit network; generating a material property state matrix according to a two-dimensional numerical picture of each layer of lamellas, and performing material property assignment on the three-dimensional lattice unit network to complete automatic modeling of the concrete model. The technical scheme of the present application can meet the needs of different construction characteristics of the concrete test piece, and can efficiently and in batches simulate and analyze the damage and failure development process of the concrete test piece of any shape.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Disclosed is a method of operating a User Equipment, UE, arranged for communication with a wireless communication system that comprises UEs and a network of cells. The method comprises reporting a predicted coverage condition for an inter-frequency neighbour cell based on measurements of an intra-frequency cell, or another inter-frequency cell.