1092 results about "Cellular network" patented technology

A wireless communication method and system enabling dynamic multi-path data transmission and reception across heterogeneous radio access networks. The method includes selecting between sequential, concurrent, or redundant multipath transmission strategies based on real-time measurements of link quality parameters, including signal-to-interference-plus-noise ratio (SINR), reference signal received power (RSRP), delay, and spectrum availability. The system further enables adaptive transmission power control, modulation scheme selection, and carrier configuration based on physical layer feedback, minimizing interference and optimizing spectral efficiency. Peer-to-peer communication between terminals is supported without base station mediation, reducing RAN load. Multi-base station connectivity is enabled, allowing terminals to simultaneously transmit through multiple nodes and aggregate at the core network. The architecture supports real-time topology control, dynamic link adaptation, and transmission parameter adjustment based on physical-layer constraints.

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.

Techniques, methods, and solutions for supporting accurate and resilient positioning, navigation, and timing (PNT) services. In some examples, a cellular PNT (Cell-PNT) network may provide end-to-end monitoring and control of PNT capabilities. For example, a server may coordinate resource allocation between devices. The server may receive a service request and requested performance indicators according to a service level agreement. The server may additionally receive determined performance indicators associated with the service. Based on differences between determined performance indicators and requested performance indicators, the server may determine how to adjust resources to satisfy the requested performance indicators. Indication of the adjusted resources may be transmitted to a device associated with the determined performance indicators. The device may adjust data indications and signals based on the adjusted resources.

Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.

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.

Systems and methods for improving cellular handover performance are provided. A user individual offset parameter (UIO) is provided which may modify a measured signal strength parameter for a particular user equipment, improving handover performance. The UIO may be calculated and optimized such that one or more key performance indicators including signal to interference and noise ratio, handover success rate, and signaling overhead are maximized. A base station may compute or retrieve the value of a UIO for a particular user equipment, and adjust a measured signal strength and quality metric using the UIO. The UIO may be calculated either by the user equipment, the base station, or the core network.

The invention provides a communication method, a communication device, electronic equipment and a readable storage medium. The electronic equipment establishes satellite communication connection with a satellite; the electronic device receives a cellular signal, the cellular signal comprising a first cellular signal type; the electronic equipment judges whether the first cellular signal type is the same as a second cellular signal type in the electronic equipment or not; if the first cellular signal type is the same as a second cellular signal type in the electronic equipment, the electronic equipment prompts a user whether to switch to a first cellular network; and the electronic equipment receives and responds to the first operation of the user, disconnects the satellite communication connection with the satellite, and switches to the first cellular network. After the communication connection with the satellite is established, the signal type of the received cellular signal is detected, and a user is prompted whether to switch to the cellular network or not.

According to an aspect, there is provided a comput-er-implemented method for training a performance estimator model (22) for estimating the performance of a cellular network. The performance estimator model (22) comprises an encoder stage (24) comprisesing a plurality of encoders and a decoder stage (26) comprising a plurality of decoders. The network comprises a plurality of cells, and the cellular network has a plurality of configuration parameters and a configuration parameter of interest that are each configurable per cell. The method comprises: (I) obtaining (901) a training data set, the training data set comprising measurements of a plurality of performance parameters for the plurality of cells, wherein different values of the configuration parameters are being used among the plurality of cells, wherein the training data set further comprises respective values of the plurality of configuration parameters for the plurality of cells; (II) training (903) the encoders to encode the training data set into a respective representation for each cell, wherein each encoder receives, for a respective cell, the measurements of the plurality of performance parameters and corresponding values of the plurality of configuration parameters for that cell, and wherein a layer of each of the plurality of encoders are interconnected as a neural network representing the cellular network such that information on relationships between different pairs of cells in the cellular network is taken into account in the encoding; (ill) training (905) the decoders to decode a respective representation to determine a subset of the plurality of performance parameters for the respective cell associated with the configuration parameter of interest, wherein each decoder receives the respective representation and a current value of the configuration parameter of interest, wherein a layer of each of the plurality of decoders are interconnected as a neural network representing the cellular network such that information on relationships between different pairs of cells in the cellular network is taken into account in the decoding; (iv) determining (907) a value of a loss metric that is based on a difference between the input training data set and the output of the decoders; and (v) repeating (909) steps (II), (ill) and (iv) to retrain the encoders and decoders to obtain an improved value of the loss metric.

The invention relates to a cellular network switching method and device, equipment and a storage medium. The method comprises the following steps: detecting whether current equipment meets a switching condition or not; the switching condition is a condition for switching a wireless network used by the current equipment to a cellular network; if the switching condition is met, identifying the operating system type of the current equipment; according to the method, the Socket object is created in different modes for different operating systems, cellular network communication is carried out based on the Socket object, the mode is not limited by a system kernel, the network transmission effect is improved, meanwhile, the wide applicability is achieved, and through the mode, when the wireless network quality is poor and communication fails, the communication efficiency is improved. The cellular network is automatically switched for communication, so that the negative influence on data transmission when a single network goes wrong is greatly relieved, and the user experience is improved.

The invention relates to a multi-network convergence gateway system supporting a satellite, a cellular and a wide-narrow band ad hoc network, and the system comprises a satellite communication module which is used for carrying out the communication connection with a satellite, and receiving and transmitting a satellite signal; the cellular communication module is used for communicating with a cellular network base station; the wide-narrow band ad hoc network module is used for constructing an ad hoc network in a local area to realize communication between nodes; the data processing module is used for uniformly processing data from the satellite communication module, the cellular communication module and the wide-narrow band ad hoc network module; and the power management module is used for managing and controlling a power supply of the whole system. The method has the beneficial effects that fusion of various communication networks can be realized, communication requirements in different scenes are met, and the power consumption of the system is reduced.

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.

In one embodiment, a device receives a request from a client to remotely access an endpoint in a local network. The device instantiates a network slice having a remote access function in a cellular network. The device causes the endpoint to communicate a particular type of traffic via the network slice and the remote access function. The device configures a virtual private network tunnel between the client and the remote access function. The client and endpoint communicate with one another via a connection that comprises the network slice and the virtual private network tunnel.

The invention relates to the field of communication, in particular to a method for delivering cache content of a mobile edge computing network for energy consumption optimization. For a cache-based MEC cellular network, the method reasonably utilizes user movement information, and calculates corresponding path fading, channel gain and shadow fading by utilizing future position information of a user. Determining the minimum transmission power by using the calculated channel gain and path fading, then setting a time slot, carrying out content delivery decision on data packets requested by different users, and allocating wireless communication resources; and with minimization of the total emission energy consumption of the base station as a target, modeling a cache content delivery problem into a mixed integer programming problem to carry out optimization solution so as to obtain an energy consumption minimization decision for the base station to deliver all data packets.

A method for determining energy-savings states of cellular network components comprises retrieving run-time performance metric data for cells in a predetermined area corresponding to an event location; feeding the run-time performance metric data to a trained machine-learning (ML) model; determining, using the trained ML model and the run-time performance metric data, predicted cell utilization levels over a predicted time period; comparing one or more predicted cell utilization levels for each cell to a respective threshold; and building an inclusion list that identifies each cell for which at least one of the respective predicted cell utilization level(s) is / are lower than or equal to the respective threshold(s) and a respective one or more predicted time increments in which the at least one of the respective predicted cell utilization level(s) of a respective cell is / are lower than or equal to the respective threshold(s).

The invention relates to the technical field of field operation safety management, and discloses a field operation personnel safety assessment method based on network data acquisition and positioning, which comprises the following steps: dynamically selecting an anti-interference mode by a multimode positioning technology to obtain positioning data, correcting track offset caused by terrain reflection interference by combining a track prediction model, and calculating the safety of field operation personnel. A signal enhancement node is utilized to construct an ad hoc network to optimize data transmission, a safety evaluation model fused with a topographic slope trend is established for purified positioning data, parameters such as a speed threshold and a safety judgment threshold are dynamically adjusted by detecting surrounding obstacle distribution in real time, and when a safety state is abnormal, the positioning data are subjected to safety evaluation. And generating an optimal risk avoiding path based on the terrain trafficability network, and synchronously starting three-channel emergency broadcast of the cellular network, the wireless talkback and the node relay. According to the method, the complex terrain positioning precision and the anti-interference capability are improved, the data transmission reliability is enhanced, dynamic risk assessment and early warning are realized, and the emergency response efficiency and the rescue success rate are improved.

A device such as a mobile device may be configured to connect to and / or communicate with one or more networks. The device may receive information indicating that there is at least one other network within a range of the device. One of the networks within range of the device may comprise a preferred cellular network. The device may then scan for the preferred cellular network and communicate with the preferred cellular network. The device may also detect the preferred cellular network based on information stored on the device. When the device is within range of the preferred cellular network, the device may detect the preferred cellular network based on the stored information and begin communicating with the preferred cellular network.

The invention provides an air-ground integrated emergency communication system and method based on a cellular-free technology. The air-ground integrated emergency communication system comprises a composite wing unmanned aerial vehicle air communication / monitoring subsystem, a mooring unmanned aerial vehicle air communication / monitoring subsystem, a cellular-free emergency communication vehicle subsystem and a robot dog ground communication subsystem. The composite wing unmanned aerial vehicle air communication / monitoring subsystem realizes public network coverage through a 4G / 5G integrated base station, the mooring unmanned aerial vehicle air communication / monitoring subsystem realizes private network coverage through a cellular-free network, the cellular-free emergency communication vehicle subsystem realizes communication data processing and command scheduling, and the robot dog ground communication subsystem is used for ground blind area signal blind compensation. The composite wing unmanned aerial vehicle carries a high-power base station to realize wide-area public network coverage, and the public communication requirement is met; the mooring unmanned aerial vehicle provides private network coverage through a cellular-free network and supports command and dispatch of rescue workers; the emergency communication vehicle integrates a core network and transmission equipment, guarantees data processing and link backhaul, and can also provide space area private network coverage in a certain range. The robot dog fills the ground blind area.

Embodiments herein provide techniques related to a NEF. An example technique includes identifying, from an AF that implements a ML model, a request related to reservation of resources for a plurality of AF sessions, wherein the plurality of AF sessions relate to respective UEs of a plurality of UEs, and wherein the request includes an indication of addresses of respective UEs of the plurality of UEs and a QoS parameter; transmitting, to a BSF of the cellular network, a discovery request related to discovery of respective PCFs that are serving the respective UEs of the plurality of UEs; identifying, based on the discovery request, a discovery response that includes indications of the PCFs; identifying, based on the indications of the PCFs and the QoS parameter, a result related to the reservation of resources; and transmitting, to the AF, an indication of the result. Other embodiments may be described and / or claimed.

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.

The invention discloses a digital aeronautical communication system design based on a cellular-free network architecture, which belongs to the technical field of aeronautical communication and comprises an aeronautical communication system and a communication service execution module. The aeronautical communication system comprises a network infrastructure and a communication link layer and is responsible for providing underlying physical connection and transmission environment support. The communication service execution module covers a network protocol and information interaction and task execution process; the network infrastructure adopts distributed AP topology planning, airport and route area APs are deployed in a differentiated manner, and parameters are dynamically adjusted in combination with a three-dimensional coverage optimization model; and software and hardware modules comprise ground APs and airborne terminals, so that the problems caused by high-speed movement are solved. The communication link layer carries out multi-dimensional channel modeling, and LDPC code coding and dynamic cluster generation are adopted. The working process comprises the steps of initialization, cluster construction, state monitoring and the like, stable communication in the whole flight process is achieved, and the aviation communication efficiency and safety are improved.

In some implementations, the techniques described herein relate to a method including: receiving input features associated with a cellular network that includes key performance indicators and metrics collected from computing devices in the cellular network; preprocessing the input features to generate input features; providing the input features to a machine learning model to generate a predicted user experience classification, wherein the machine learning model is trained using a dataset including a plurality of sets of input features and corresponding user experience labels; and performing one or more actions based on the predicted user experience classification, wherein performing one or more actions includes identifying a root cause of a user experience issue and generating a recommendation to modify the cellular network to address the root cause.

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.

Solutions for low latency edge processing for unmanned aerial vehicle (UAV, “drone”) wireless links (e.g., air interfaces) include: receiving, by a first base station of a cellular network, from a UAV controller, over a first air interface, a first signal; routing the first signal from the first base station to the UAV, over a second air interface, without routing the first signal through a virtual private network (VPN); and controlling a flight parameter of the UAV based on at least the first signal. Further examples include: registering, by a UAV controller, with a cellular network; registering, by a UAV, with the cellular network; transmitting, by the UAV controller, to a first base station of the cellular network, over a first air interface, a first signal; and receiving, by the UAV, from the cellular network, over a second air interface, the first signal, without routing the first signal through a VPN.

An embodiment of a user equipment supports conditional handovers to one or more cells of a cellular network.The user equipment is configured to receive configuration data from the cellular network. The configuration data indicates for a plurality of target cells of the cellular network, conditions to trigger a conditional handover to any of the target cells.The user equipment is further configured to check the conditions with respect to appliance, and, in case of appliance, trigger the conditional handover.

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.

A disclosed method may include (i) maintaining a database that maps cellular reference link types to geographic hubs that include a respective cellular network node connected through a respective cellular reference link type, (ii) cycling through the database, within a portion of the database for a specific cellular reference link type, to perform a ping operation from each respective geographic hub mapped to the specific cellular reference link type, and (iii) displaying, through a graphical user interface, results to an administrator indicating which ping operations from the cycling through the database indicated a failure such that the administrator is enabled to perform a remediation operation. Various other systems and computer-readable mediums are further disclosed.

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 is a drone assembly for being used for multirole, first responders, and military applications. The drone assembly is formed from a drone and a launch tube therefor. In an un-deployed position of the drone assembly, the drone is stowed in a stowed position within the launch tube and the launch tube is closed. In a deployed position of the launch tube, the launch tube is open and the drone is peripherally exposed and capable of passing from an un-deployed position to a deployed position when the drone still rests in the launch tube. The drone comprises an onboard AI chipset and onboard sensors. The take-off and flight are performed autonomously. The launch tube relays the video images, sensor data and other telemetry information, via local Wi-Fi, and / or ethernet, cellular to a local or remote user or directly to be stored in a remote network system.