718 results about "Cellular network" patented technology

The invention provides a cellular network flow space-time prediction method and system based on a hybrid neural network, and belongs to the technical field of intelligent communication. The method adopts a layered deep neural network architecture, and comprises a data embedding layer, a space-time coding layer, a feature fusion layer and an output layer. The data embedding layer maps a historical traffic sequence, cross-domain external data and metadata into high-dimensional features; the space-time coding layer is used for respectively fusing one-dimensional causal convolution and a Mama neural network to extract multi-scale time features and densely connecting convolution and a multi-head attention mechanism to capture multi-scale space features through time and space modeling branches; the feature fusion layer realizes adaptive weighted fusion of spatial-temporal features, cross-domain features and metadata features by using a gating fusion mechanism; and the output layer performs linear transformation on the fusion features to generate a final prediction result. According to the method, the spatial-temporal dynamic capture of the service traffic is accurate, the prediction curve is highly fit with the true value, and the accurate prediction of the multi-service traffic of the cellular network is realized.

Technologies for providing energy efficiency technology in extreme mMIMO systems in a cellular network cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method collects data representing conditions for potential energy saving (ES) modes, comprising morphology data and traffic pattern data. The method determines, using the collected data, one or more energy saving (ES) modes for one or more components of a cellular network in at least one of a time (T) domain, a frequency (F) domain, or a space (S) domain, wherein the one or more ES modes cause at least one adjustment to the one or more components in the at least one of the time (T) domain, the frequency (F) domain, or the space (S) domain.

A gene regulation inference method based on causal diagram embedding and conditional cellular network relates to the technical field of gene regulation network prediction, and comprises the following steps: 1, obtaining a gene expression matrix from scRNA-seq, and generating a causal diagram; 2, generating a local feature embedding matrix of a gene by using a graph neural network model based on a causal graph and a known gene regulation and control network graph; 3, constructing a CCSN based on scRNA-seq, converting the CCSN into gene connectivity vectors, and integrating the gene connectivity vectors of all cells to form a CNDM as a global feature matrix; 4, integrating the local feature embedding matrix and the global feature matrix to form a final gene feature matrix; 5, screening a core gene from the gene feature matrix, and constructing a regulation edge matrix; and 6, inputting the regulatory edge matrix into a gene link prediction module to realize inference of the gene regulatory network. By applying the method, the causal relationship and the cell specificity can be integrated, the core gene is effectively screened, the feature fusion is optimized, and the accuracy and the biological interpretation of network inference are improved.

An electronic device electronic device is provided. The electronic device includes a first antenna, a second antenna, memory, comprising one or more storage media, storing instructions, and at least one communication processor communicatively coupled to the first antenna, the second antenna, and the memory, wherein the instructions, when executed by the at least one communication processor individually or collectively, cause the electronic device to during an operation in a mode in which data is transmitted to a cellular network via the first antenna and the second antenna, identify a number of uplink layers allocated by the cellular network to the electronic device, in case that the number of uplink layers allocated to the electronic device during a specified time satisfies a specified condition, change an operation mode related to impedance matching of at least one of the first antenna and the second antenna from a first mode for improving performance of at least one antenna to a second mode for reducing consumption of an amplifier electrically connected to the at least one antenna, and perform the impedance matching of the at least one antenna in the second mode.

A method includes presenting, within a display device of a computing system, a graphical user interface (GUI) comprising a map of an area of interest (AOI) of a cellular network. The method retrieves known geolocations within the AOI of subscriber devices and eliminates, for each site, one or more of the known geolocations that are beyond a threshold distance away from the site. The method clusters, for each sector of each site, remaining geolocations to identify a plurality of clusters of the remaining geolocations. The method determines, based on the clustering, a coverage polygon for each sector and determines, for each sector, a largest overlap portion of the coverage polygon of the sector with at least a second coverage polygon from neighboring sites to the sector, so as to determine how to resolve capacity-related issues with at least some of the sectors.

A telecommunications receiver is adapted to communicate with mobile devices that operate according to a protocol where the telecommunications receiver operates outside of expected ranges for the protocol but modifies its communications with mobile devices to appear to those mobile devices as being within the expected ranges. To determine what modifications to make to transmissions, the telecommunication receiver processes signals from mobile devices to determine where a communications channel is relative to the expected ranges and uses that information to modify transmissions to mobile devices. The expected ranges might relate to maximum distance between telecommunications receiver and a mobile device, maximum relative velocity, power etc. Determining a relative velocity, and therefore a Doppler shift, can be done by determining a fractional frequency offset, determining an expected subchannel, and determining an integer frequency offset based on the expected subchannel carrier frequency and the measured carrier frequency.

Various arrangements for performing blockchain-based emergency call origination are presented herein. An emergency communication can be routed between a piece of user equipment (UE) and a public safety answering point (PSAP) via a network, such as a cellular network or ISP network. One or more nodes of the network can update a blockchain ledger used to route the emergency communication. The blockchain ledger can be accessed to determine a communication path between the piece of UE and the PSAP. The location of the piece of UE can be estimated based on the communication path.

Technologies for providing self-healing of functions of a cellular network are described. One method includes obtaining first error codes associated with one or more operations of a first network function of a cellular network. The method further includes providing the first error codes as input to a first trained machine learning model. The method further includes obtaining, from the first trained machine learning model, first predictive output based on the first error codes. The method further includes performing a first corrective action in view of the predictive output.

This disclosure provides systems, methods and apparatus, including computer programs encoded on computer storage media, for centralized management cloud connecting multiple enterprise networks. A network agent may be deployed within a private cellular network and act as an interface between the node(s) of the private cellular network and a cloud network controller. The network agent may obtain a local-based request to initiate a cloud-based procedure associated with network parameter(s), the network parameter(s) being associated with cloud network credential(s) that correspond to the private cellular network. The network agent may output a cloud-based request to the cloud network controller to initiate the cloud-based procedure. The cloud-based request may indicate at least a portion of the network parameter(s) and omit at least a portion of local credential(s) of the private cellular network. The cloud-based request may hide the cloud network credentials of the private cellular network from the cloud network controller.

The present invention concerns a novel form of communication within a cellular wireless communication network. One aspect of the invention concerns a User Equipment for a cellular network, wherein the UE inter alia includes a first interface for UE-to-Basestation communication configured to communicate with a base station of the cellular network and a second interface for UE-to-UE communication configured to communicate with one or more other UEs of a UE-Group to which the UE belongs. According to the invention the UE is configured to receive via its first interface configuration data for configuring its second interface, and to coordinate, via the second interface, a communication within the UE Group.

The invention relates to the technical field of radiator design and thermal management, in particular to a radiator cooling channel design method based on three-dimensional topological optimization. The method comprises the following steps: carrying out thermal imaging scanning on the electronic equipment, obtaining temperature distribution data, and generating a hotspot map; calculating a temperature gradient according to the hot spot map, determining a temperature gradient threshold value, dividing a main circulation area and a secondary circulation area, performing circulation area boundary smooth optimization, and generating a circulation partition map; based on the cyclic partition map, determining an inlet position and a heat flow demand, and identifying a thermal anchor point set; determining a hierarchical branch structure of a primary loop and a cellular network structure of a secondary loop; generating a channel skeleton graph based on the hierarchical branch structure and the cellular network structure; and a basic isolation wall is determined, a reinforcing structure is added, and thickness optimization is conducted according to the local temperature difference to form a heat conduction valve structure. According to the invention, the problem of low efficiency of the radiator under a complex thermal load is solved through radiator design and a thermal management technology.

Embodiments are directed towards systems and methods for carrier aggregation and dual connectivity switching in a cellular network (e.g., a 5G network). Example embodiments include systems and methods for: the RAN functions supporting providing measuring and reporting particular items for dynamic carrier aggregation and dual connectivity switching; RAN dynamic carrier aggregation and dual connectivity switching with a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching without a network intelligence layer; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting latency / bandwidth criteria; RAN dynamic carrier aggregation and dual connectivity switching based on availability of an inter-DU link and meeting resource criteria; and prioritization for using CA instead of DC based on CQI information reported from UEs.

The invention discloses a 5G Internet of Things network communication management system, which belongs to the technical field of Internet of Things management, and comprises a signal receiving module for receiving wireless sensing signals of an active terminal and a passive tag, a resource scheduling module for managing the sensing signals of the active terminal and the passive tag based on a 5G-A cellular network, and performing resource scheduling, the dynamic optimization module is used for establishing a dynamic resource collaborative arrangement model, analyzing characteristics of different Internet of Things services according to a resource scheduling result, and realizing cross-level collaborative optimization of calculation, storage and communication resources, and the security isolation module is used for setting an independent virtual channel and a bandwidth queue for each key service application. Bidirectional authentication and data encryption of a terminal and a network are realized, the management control module receives and processes feedback data of each module, outputs a global management instruction and performs energy consumption management control at the same time, signal access stability and coverage uniformity in a hybrid networking scene can be improved, and time delay and security requirements of different services are met.

Intelligent seamless handover in cellular networks (e.g., using a computerized tool), is enabled. For example, a system can comprise at least one processor, and at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations. The operations can comprise, based on serving cell connection data, neighbor cell connection data, and user equipment data, determining, using a time-series machine learning model trained using past serving cell connection data, past neighbor cell connection data, and past user equipment data, a predicted connection status for the user equipment, and based on the predicted connection status, serving cell load data representative of a first load on the serving cell, and neighbor cell load data representative of a second load on the neighbor cell, controlling a handover of the user equipment between the serving cell and the neighbor cell.

A broadcast service network (separate from a cellular network) includes broadcast service signal (BSS) nodes that broadcast signals to receivers of user equipment (UE). The BSS may provide broadcast service information to user equipment, such as the emergency notifications, even when the user equipment is out of range of the cellular network. Further, the broadcast service signals may provide information that improves the user equipment's search and access time for connecting to the cellular network (e.g., a cellular service station) and / or that assists the user equipment in locating a nearby region of cellular network coverage. In addition, the BSS may be wake-up signals configured to activate the receiver when the receiver is in a sleep or inactive mode. In some embodiments, the BSS may be pointer signals configured to direct the user equipment to a broadcast service channel to receive the broadcast service information.

Embodiments are directed to systems and methods for dynamically sensing and calculating the time remaining until a report of an interruption in cellular communications within specific areas must be made to an entity. Various regulations by different entities, whether the FCC, city, or state public safety organizations require reporting of cell phone outages according to their respective operational needs. The present embodiment provides techniques for dynamically calculating the time period remaining before reporting of an outage must be provided to a particular entity. A method is provided for receiving into the system the parameters for the regulation under consideration and an area of interest to be considered. The system will retrieve data from the various databases to determine whether or not the cellular service complies with the regulation under consideration. Calculations are dynamically made over time to determine if reporting under the regulation is needed.

A high-security pet and child confinement gate designed to prevent unauthorized access. The gate incorporates advanced control mechanisms, such as a sensory circuit with a camera, capable of wireless communication with smart devices. The camera can be integrated or removable, providing image data to smart devices. The gate may include a free-spinning mechanism to deter climbing attempts, equipped with sensors and audio devices to produce deterring sounds. Additionally, the gate may include a pressure sensor and an audio device that emits ultrasonic sounds upon detecting crossing attempts. The communication module is adaptive, allowing interaction with cellular networks, Wi-Fi, or Bluetooth, and can receive commands from smart devices to enhance security measures, including sound playback, vibrations, and increased spinning speed.

In some embodiments, a computer implemented method for assessing network bandwidth availability in a network connection having unknown excess capacity beyond an initial network capacity is provided. There are two cases to be considered: (1) the network has a given capacity and the system doesn't know what it is (e.g., on a cellular network) this capacity may change over time as more users use the network and / or a user is mobile, and (2) the system is assigned capacity but by pushing the network, the system may be able to get more capacity (e.g., on a satellite hub). The excess capacity may be quantified for future potential opportunistic, emergency or priority usage, or in some embodiments, utilized periodically or continuously.

A sensing measurement employing sensing signals (120, 126, 126A, 126B, 126C) multiplexed with communication signaling of a cellular network (100) is provided. A measurement report including measurement results of a sensing measurement employing the sensing signals (120, 126, 126A, 126B, 126C) for sensing a target object (114) is communicated from a radio node (106, 108) to a node (110) of the cellular network (100), e.g. a node (110) implementing a sensing management function. The measurement results comprise one or more observables. The one or more observables are associated with each scattering point of multiple scattering points (402-412) of the target object (114) sensed with the sensing signals.

The current subject matter relates to a lighting device having an LED strip having a plurality of light emitting diodes, a tubular enclosure configured to sustain the LED strip, a control board having a processor, speaker, sensor, microphone, a modem, and an antenna, the processor being communicatively coupled to the LED strip having the plurality of light emitting diodes, and the processor being configured to control the light emitting diodes, the control board configured to connect to at least one of a cellular network or WiFi via the modem and the antenna, a power board coupled to the LED strip having the plurality of light emitting diodes, and two opposing end caps situated at both ends of the tubular enclosure configured to receive power, the two opposing end caps configured to receive power for supplying power to the power board and the control board.

The invention discloses an unmanned aerial vehicle assisted cellular network communication method and device, and a storage medium, and relates to the technical field of communication management. The method comprises the following steps: randomly initializing alliance allocation of unmanned aerial vehicles, and obtaining an initial alliance grouping set; the individual income of each unmanned aerial vehicle in the current unmanned aerial vehicle alliance group is calculated; each unmanned aerial vehicle takes a non-current unmanned aerial vehicle alliance group as a target unmanned aerial vehicle alliance group, and the expected income of the unmanned aerial vehicle in the target unmanned aerial vehicle alliance group is calculated; when it is judged that the expected income meets a preset group switching condition, the unmanned aerial vehicle is allocated to a target unmanned aerial vehicle alliance group; and when no unmanned aerial vehicle meets the preset grouping switching condition, a stable unmanned aerial vehicle alliance grouping set is obtained. According to the invention, by balancing individual interests and overall interests, the stable unmanned aerial vehicle alliance grouping set is obtained, the fairness of the transaction market and the maximization of the network throughput can be considered, and the transaction efficiency is effectively improved.

The invention discloses a heterogeneous cellular network task unloading method oriented to location privacy protection, and belongs to the technical field of communication. The invention provides a heterogeneous cellular network task unloading method oriented to location privacy protection, aiming at solving the problem that location privacy leakage is possibly caused when a mobile user unloads a task to a micro base station edge server to which the mobile user belongs in heterogeneous cellular network edge calculation. According to the method, the privacy leakage risk of task unloading is evaluated according to user position distribution, the number of unit tasks to be unloaded and the resource state of each edge server, the position correlation between users and target servers is weakened by using a relay forwarding mechanism of a macro base station, and a deep reinforcement learning method is adopted, so that the task unloading efficiency is improved. And the position privacy risk and the task unloading strategy of the user are dynamically learned and optimized, so that the position privacy protection of the user is effectively realized and the average unit task energy consumption is minimized under the constraint of average unit task tolerance time delay.

In some aspects, the techniques described herein relate to a method including: monitoring interference measurements of a radio in a cellular network; generating a multi-dimensional interference matrix based on the interference measurements, the multi-dimensional interference matrix storing averages of the interference measurements for a plurality of combinations of radios, frequencies, and time slots; analyzing the multi-dimensional interference matrix to determine at least one combination of the radio, frequency, and time slot in the plurality of combinations having an interference measurement exceeding a preconfigured threshold; and updating a slot configuration of the at least one combination based on the interference measurement.

An electronic device and a method performed by the same are provided. The electronic device includes a display, a plurality of communication circuitry, memory, including one or more storage media, storing instructions, and at least one processor, including processing circuitry, communicatively coupled to the display, the plurality of communication circuitry, and the memory, wherein the instructions, when executed by the at least one processor individually or collectively, cause the electronic device to, in response to an input for an outgoing call related to an emergency service, while identifying whether a communication link is established based on a wireless local area network (WLAN) by using a first communication circuit among multiple communication circuits, display a first user interface related to the outgoing call on a display, in a first state where the communication link is established based on the WLAN, request a first outgoing connection for the outgoing call via the first user interface during a first designated time by using a second communication circuit related to a cellular network, and, after the first designated time, based on identifying failure of the first outgoing connection, request a second outgoing connection for the outgoing call during a second designated time by using the first communication circuit.

Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: partitioning a geographic area into a plurality of bins; assigning an agent to each antenna that provides communication services in the geographic area, wherein the agent executes an action that adjusts settings for network parameters for the antenna to improve coverage quality; initializing random settings for the network parameters; computing updated coverage quality, signal strength and interference for each bin in the plurality at a setting proposed by the agent; recording the updated coverage quality, the signal strength and the interference in a history; rewarding the agent for improvements; repeating the computing, the recording and the rewarding a preset maximum number of times at most or until achieving an overall coverage quality improvement goal; providing the history to a policy net as an epoch; and iterating the initializing, computing, recording, rewarding and repeating a maximum number of epochs at most or until the policy net converges. Other embodiments are disclosed.

The invention relates to the technical field of data processing and analysis, and further relates to a drainage pipe network flood risk dynamic assessment and control method for rainstorm emergency. The method comprises the following steps: step 1, constructing a double-domain cellular network comprising a surface element spore domain and a pipe network element spore domain; step 2, circularly executing a round of three-phase updating process on the double-domain cellular network according to a fixed beat, and outputting a partition risk count and a local response suggestion by taking minimization of the water accumulation and overflow risk of the partition as a local target; and step 3, generating candidate actions from an action library by the partition control node according to the partition risk count and the local response suggestion output in the step 2, executing a round of three-phase updating process for each candidate action, selecting a feasible execution action which enables the risk count of the partition to be minimum, and issuing the feasible execution action. According to the method, flood evolution can be dynamically reflected on the minute scale, the downstream overload risk is rapidly inhibited, and the upstream autonomy and downstream coordination ability is improved.

The invention discloses a cloud-side collaborative logistics vehicle scheduling system and method fusing digital twinning, and relates to the technical field of vehicle scheduling, the system comprises a digital twinning module, a cloud platform module and an edge node module, and the modules carry out data interaction with edge computing equipment through a cellular network; the digital twin module comprises a scene dynamic modeling unit, an uncertainty simulation unit and a real-time mapping unit; the cloud platform module comprises a global optimization unit and a data processing unit; the edge node module comprises a real-time data acquisition unit, a data preprocessing unit, an instruction execution unit and a local decision unit; the method has the beneficial effects that digital twinning and cloud edge collaborative fusion is realized, and double guarantee of risk pre-judgment and real-time response is realized.

The invention discloses a communication connection method and system of a terminal, network equipment and a storage medium. The method comprises the following steps of: expanding a coverage overlapping area by adjusting a coverage area of a satellite cell; determining a first signal strength evaluation index and a second signal strength evaluation index in the expanded coverage overlapping area; determining whether a mobility management condition of the terminal is satisfied based on the first signal strength evaluation index and the second signal strength evaluation index; and in response to determining that a mobility management condition is satisfied based on the first signal strength evaluation index and the second signal strength evaluation index, triggering the terminal to start a mobility management process. According to the invention, the technical problem of poor user experience caused by untimely reselection or switching or frequent switching due to small signal intensity difference when the terminal moves in the coverage overlapping area of the ground cellular network and the satellite network is solved.

The invention relates to the technical field of fault data processing, and discloses a mobile energy storage equipment fault diagnosis early warning method and system, and the method comprises the steps: obtaining the operation data of a target energy storage object, analyzing the preprocessed real-time operation data, and obtaining a multi-dimensional situation field, the target energy storage object being an outdoor energy storage power supply; calculating the multi-dimensional situation field to obtain a synaptic weight trace of abnormal data, identifying antibody modals, and analyzing the stability of each antibody modal to obtain a modal confidence coefficient; according to the scheme, a dynamic cellular network and a multi-dimensional situation field are constructed, fault multi-parameter coupling dynamic evolution characteristics are accurately captured, deep causal inference is realized according to a synaptic weight trace, an antibody mode and a mode confidence coefficient, a root fault reason is locked through a root cause contribution degree, and a fault early warning instruction is generated in combination with fault outbreak potential energy. And therefore, non-professional outdoor personnel can be helped to quickly position the fault, and the diagnosis accuracy and the early warning timeliness can be improved.

The invention discloses an unmanned aerial vehicle control system and method for Internet of Things communication, and relates to the technical field of unmanned aerial vehicle control, the unmanned aerial vehicle control system comprises a data acquisition module, a decision processing module and the like, a switching instruction is generated through multi-dimensional data fusion, cross-layer collaboration, dynamic spectrum scheduling and three-level link guarantee are realized, and the unmanned aerial vehicle control system and method are applied to unmanned aerial vehicle control. The system has the advantages that through a multi-dimensional data fusion algorithm and a cross-layer cooperation mechanism, link quality, flight state and task type data are acquired in real time by using the data acquisition module, and a precise network switching instruction is generated through the decision processing module; in cooperation with a pre-registered address caching mechanism of the cross-layer cooperation module and a dynamic spectrum allocation strategy of the spectrum scheduling module, the defects of heterogeneous network switching decision lag, cross-layer protocol conflict and dynamic spectrum adaptation deficiency in the prior art are effectively solved, and the scheme realizes intelligent seamless switching of the unmanned aerial vehicle between heterogeneous networks such as a cellular network and a satellite network.