1997 results about "Cellular network" patented technology

Flexible scheduling, self-healing, high-utilization strong stability for cellular network communications are discussed. Cellular network communication settings and strategies are developed with communication interval, transmit power data rate, channel delay, spectrum occupancy, source coding, receiving sensitivity, channel coding, signal-to-noise ratio, packet loss rate, channel occupancy rate, reception frequencies frequency band size of data package transmission frequencies, data package structure, modulation scheme, information coding scheme, antenna configuration.

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.

Enhanced user authentication in cellular networks This invention describes a method, apparatus, and system for authenticating, authorizing, and managing a connection in a cellular system to allow a user to retrieve / send some data, e.g., from / to an application function (AF) or to communicate with another remote user over multiple networks in an optimized / secure manner. The user may have one or multiple devices (UEs) using (e.g., connected to) multiple / different networks, e.g., a device with multiple subscriber identity modules (SIMs) and / or different radio access technologies.

A cellular communication network based non-fungible token creation system with integrated creator biometric authentication comprises an electronic device of the user; a passive biometric user identification technology coupled to the electronic device and configured for identifying the individual with the passive biometric user identification technology by passively obtaining biometric characteristics that are unique to each human; and a one click non-fungible token forming component which is configured for identifying digital data files on an electronic device with a single user click; wherein the digital data files include the biometric characteristics of the creator, and at least one of audio, video, data and image files, and wherein the system is configured for creating authentication data comprising the digital data files and for recording on a blockchain the authentication data forming the non-fungible token; and systems for managing and transferring ownership of the non-fungible token.

Disclosed are methods, apparatuses, and systems for using Artificial Intelligence (AI) and Machine Learning (ML) in cellular networks. In one aspect, a method is performed by a first node. The method includes sending, to a second node, a first message that indicates a request to update or reconfigure a functionality in the first node related to an ML-model or another functionality in which the ML-model is a part. The method further includes receiving, from the second node, a second message responsive to the first message, and performing an update of the functionality related to the ML-model based on the second message.

A method performed by a user equipment to establish a secured connection with an application entity in an enterprise network. The method comprises sending an establishment request to a secure access secure edge (SASE) entity: receiving an establishment response from the application entity if the SASE entity determines to allow the establishment request and authorizes Generic Bootstrapping Architecture / Authenticated Key Management for Application (GBA / AKMA) platform to share a session key with the application entity; and establishing a connection with the application entity based on the session key.

This invention describes apparatuses / methods for enhanced user authentication in cellular networks wherein the apparatus / method checks for a preferred authentication procedure, performs the preferred authentication procedure with a core network, and sets up a connection. Thereby, authentication challenges (such as retrieving core network data, optimizing resources and strength of authentication) arising from users of one or more devices (e.g., UEs) using multiple / different networks, (e.g., with multiple subscriber identity modules and / or different radio access technologies), avatar-based communication and / or biometrics (e.g., by means of embedded sensors or wireless sensing) can be addressed.

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.

The invention discloses a navigation robot self-adaptive communication system and method based on multi-network collaboration, and relates to the technical field of network communication, the system comprises a network management module which is responsible for safely storing encrypted AP information and network topology data and providing a function of receiving AP configuration update through NFC; the signal detection module is responsible for detecting network parameters and generating a network quality evaluation report; the switching control module is responsible for predicting the signal intensity in future set time, realizing microsecond-level decision response by combining a dynamic threshold algorithm and a manufacturer protocol adapter, and providing a decision basis for optimization of network connection; and the dual-channel communication module is integrated with a WiFi chip and a cellular network modem, realizes operator link redundancy through dual SIM (Subscriber Identity Module) card slots, dynamically optimizes WiFi and cellular signal reception by utilizing a built-in intelligent antenna array, and executes network connection optimization and switching operation according to a decision of the switching control module. The navigation robot can automatically adapt to different network environments.

Various embodiments herein provide techniques related to a user equipment (UE). The UE may identify, by a long term evolution (LTE) sidelink (SL) module that is to facilitate communication via a first SL channel of a first cellular network, a resource that is to be used for communication in the first SL channel by another UE; provide, by the LTE SL module, information related to use of the resource to a new radio (NR) SL module that is to facilitate communication via a second SL channel of a second cellular network; and exclude, by the NR SL module based on the information related to use of the resource, the resource for communication via the second SL channel. Other embodiments may be described and / or claimed.

In some embodiments, the disclosure provides a method that includes executing, by a processor of a computing device, application instructions to display an access controller interface element and an access code on a screen of the computing device, the access controller interface element operatively linked to an access restricted digital resource; transmitting, by the processor, an access request over the cellular network based on an activity performed using the access controller interface element, including an access code and an identity linked to the computing device; the processor receives an access program instruction through the Internet to respond to transmission of the access request and receive the access program instruction through the application program so as to unlock access to the limited digital resource for access through the computing device; and executing, by the processor, the access program instructions to unlock the access restricted digital resources for access by the computing device.

Systems, devices, and methods related to allocating cellular wireless network resources and providing access on-demand (AoD) to the cellular wireless network resources are provided. An example method includes: obtaining tenant information and historical tenant data of multiple tenants, predicting an anticipated / optimized demand of a resource of a cellular network for each tenant, determining aa anticipated / optimized unit price of the resource, providing the anticipated / optimized unit price to each tenant, receiving an actual demand from each tenant, determining that a deviation of the actual demand from the anticipated / optimized demand is of or below a predetermined threshold, allocating the resource to the tenants based on the actual demand received from each one of the plurality of tenants, and providing access to the allocated resource to one of the plurality of tenants for one or more user equipment (UE) connected to a tenant network of the tenant to use the allocated resource.

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.

A cellular security system that uses multiple policies to protect a cellular network against various threats in a cloud-based environment. The cellular security system includes a tenant with multiple cellular devices, multiple tunnels that receive and route traffic, monitor traffic, capture real-time traffic attributes, and detect anomalies. The cellular security system further includes an anomaly detection model, an alert generator, and an anomaly reporter. The anomaly detection model retrieves baseline profiles from a threat database, loads policies related to a threat, and compares real-time traffic features with baseline profiles. The anomaly detection model further applies an anomaly detection algorithm to a traffic instance, assigns an anomaly score, and raises a flag for anomaly detection. The alert generator sends an alert to the tenant in the cloud-based environment, and the anomaly reporter notifies a management plane for further remediation of the anomaly.

The invention discloses a network-on-chip construction method and device, a medium and a product, and relates to the technical field of network-on-chip design, and the method comprises the steps: building a bottom layer cellular network based on a cellular topological structure, each node in the bottom layer network comprises a router and a processing unit, and carries out the data interaction with an adjacent node; the method comprises the following steps of: symmetrically dividing a network into a plurality of geometric sectors with the same coverage angle by taking a center node of a bottom-layer network as an original point, and selecting at least one node from each sector as a cross-layer node; and connecting the cross-layer nodes to corresponding nodes in the top-layer switched network through additional channels, wherein the top-layer network nodes only comprise routers and realize full interconnection through the additional channels. According to the invention, the long-distance communication is transferred to the top switching network through a hierarchical structure, the data transmission hop count and signal delay are effectively reduced, the hardware resource consumption is reduced, and the network expansibility and the communication efficiency are improved.

The present invention relates to method of energy saving in a cellular network. The method comprises configuring, by the Base Station (BS), different periodicity for at least one Synchronization Signal Block (SSB) beam of a plurality of SSB beams in an SSB burst, based on the load on the network. The method includes transmitting, by the BS, a relaxed signal in less number of time and frequency resources than the resources used for an SSB. The method further includes indicating sleep states of the BS to a User Equipment (UE) to reduce unwanted monitoring of resources. The method also includes determining, by the BS, active number of ports and indicating, to the UE, active ports using a parameter. The method further includes dynamically determining, by the BS, transmit power of downlink (DL) signal and DL channel, and signalling a parameter about the transmit power to the UE.

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 probes-as-services to customers of a cellular network are described. One method receives, from a customer, a request for a probe-as-a-service in a slice of the cellular network, the slice being associated with the customer. The method generates a set of probe collectors to collect network analytic data associated with the slice of the cellular network. Using the set of probe collectors, the method collects input data (e.g., user data usage, events metrics, counters, logs, etc.). The method aggregates the input data from each of the plurality of data sources in the cellular network to obtain combined data. The method generates, using at least one artificial intelligence (AI) / machine learning (ML) model, the network analytic data based on the combined data. The method provides the network analytic data to an application associated with the customer.

The described technology is generally directed towards interference avoidance for cellular networks. A controller can estimate intercell interference and provide recommendations of preferred time slots that can be used by cell schedulers to avoid intercell interference. The controller can leverage sporadic traffic of neighboring cells by identifying time slots at which traffic demand likely to result in intercell interference. The controller can then guide schedulers at cells to send data in a manner that mitigates intercell interference.

Aspects for verifying an identification of a cellular device are disclosed. In one such aspect, a system for identifying cellular devices may comprise a box configured to provide an electronically isolated environment by blocking electromagnetic waves or radio frequency (RF) waves such that a cellular device is electronically isolated from outside the box when placed in the box. The system may further comprise one or more processors configured to cause the box to transmit, using one or more internal antennas, cellular network signals configured to emulate at least one base station of a telecommunication carrier to cause the cellular device to connect to a network set up by the base station when the cellular device is placed in the box, and in response to the cellular device attempting to gain access to the network, obtain an electronic identifier from the cellular device via the one or more cellular network signals.

The invention relates to the technical field of Internet content distribution, and discloses a distributed edge cache acceleration method based on PCDN, comprising the following steps: step I: terminal node access and resource initialization, which includes node registration and authentication, resource information reporting and node classification and label management; step II, hierarchical caching strategy and content storage, wherein the hierarchical caching strategy and content storage comprises content popularity grading, cache writing strategy and cache replacement and elimination; and step III, dynamic content scheduling and distribution. According to the distributed edge cache acceleration method and device based on the PCDN, the content popularity and regional distribution are pre-judged in advance through a deep learning model, and bandwidths and resources of different networks are integrated through a network fusion technology, so that the purposes of reducing the number of times of source returning requests, breaking through the transmission limitation of a traditional single network (for example, only depending on a cellular network) and improving the transmission efficiency can be achieved. The effects of node contribution traceability and automatic execution excitation are achieved.

A method for performance testing connections between a public cloud and a cellular node includes selecting a test node and a peer node for testing from candidate nodes, wherein the candidate nodes include nodes of a public network and nodes of a cellular network; establishing a connection between a testing agent on the test node and a peer testing agent on the peer node; and collecting Key Performance Indicators (KPIs) for a network path between the testing agent and the peer testing agent, wherein the network path between the test node and the peer node traverses a cloud network. This method enables efficient and accurate performance testing of connections between a public cloud and a cellular node, facilitating the optimization of network performance and reliability.

A method for streaming dynamically changing user interface data from a server to a client, including resizing user interface data in accordance with a client display, repeatedly transmitting in the form of IP packets, the user interface data in a lossy compression format, for each transmission, if an acknowledgement is received that all packets have been received, then increase the number of IP packets in the next transmission, and if the increased number of IP packets is sufficient to transmit the user interface data in a lossless compression format, then retransmit previously transmitted user interface data in the lossless compression format, including partitioning previously transmitted user interface data into display strips, and for each strip, if the user interface data is unchanged, transmit the strip in the lossless compression format, and if the user interface data has changed, return to the repeatedly transmitting for the changed user interface data.

The invention relates to a symbol structure configuration method and device of a sensing frame, communication equipment, a storage medium and a computer program product. The method comprises the following steps: determining initial symbol configuration data based on expected sensing overhead and expected sensing distance of a target scene, the total number of symbols of a sensing frame and single symbol duration of the sensing frame; target symbol configuration data of the sensing frame is determined based on the performance index requirement of the target scene and the initial symbol configuration data, the performance index at least comprises the expected sensing speed of the target scene, and the sensing frame is at least used for sending one or more of pulse waves and continuous waves. By adopting the method, various requirements on sensing distance and sensing precision in different scenes can be met by flexibly configuring the symbol structure of the sensing frame, the sensing performance of the sensing frame in different scenes can be effectively improved, and popularization and implementation of a communication sensing integrated scheme based on a cellular network are facilitated.

Aspects of the present disclosure provide a failover service in part by utilizing a smartphone when a business or home modem is inoperable or otherwise unable to provide adequate internet service. Once the smartphone is paired with a communication bridge, the smartphone may be used to provide internet services to wired and wireless devices associated with a first network. The smartphone can utilize its cellular network interface to connect to the internet and provide internet connectivity via the communication bridge to a router or gateway which, in turn, enables devices connected to the router or gateway to access the internet without having to connect directly to a separate network provided by the smartphone. Aspects of the disclosure may rely on machine learning to optimize network and / or device communications, configurations, and / or other failover parameters.

Systems, methods, and computer-readable media for detecting and localizing a position of an unmanned aerial vehicle (UAV) in an environment. Particularly, a management computer can orchestrate the detection and localization of the UAV using base stations that are part of a cellular network infrastructure, reconfigurable intelligent surfaces (RIS) disposed about the environment, and one or more reference nodes. One or more base stations can transmit detection and localization signals towards one or more RIS instances to direct signals upwards towards UAVs disposed at or above the base stations using various configurations of the RIS instances. Angles of departure or arrival of the localization signal can be used to determine a position of the UAV. After localizing the UAV, a notification message specifying the derived position of the UAV in the environment can be generated.

The invention discloses an intelligent alarm method for driving intervention after a disaster, and the method comprises the steps: collecting a visible light image and an infrared thermal imaging image, and scanning the coordinate data of a three-dimensional space at the same time; inputting the visible light image into a convolutional neural network model to perform road obstacle type identification, and generating three-dimensional contour data of the obstacle in combination with the three-dimensional space coordinate data; when the height of the obstacle exceeds a height threshold value and the distance between the obstacle and the vehicle is smaller than a distance threshold value, uploading a feature data set containing the GPS coordinates, the three-dimensional contour data and the obstacle type to a cloud server through a cellular network; the cloud server matches the feature data set with a pre-stored disaster area digital elevation model based on the three-dimensional space coordinate data, and calculates the ratio of the projection area of the obstacle on the current lane cross section to the lane width; and when the ratio exceeds a ratio threshold value, generating an alarm instruction. According to the invention, the accident risk caused by misjudgment of obstacles or improper path planning after disasters can be effectively reduced.

A system may perform operations to receive an input via a graphical user interface (GUI) corresponding to a request for first cellular network data. The input may include a first cellular network identifier (CNI). The system may receive a selection of a cellular network management system (CNMS) via the GUI. The system may transmit the request for the first cellular network data to the selected CNMS via a first application programming interface (API). The system may receive, via the first API, the first cellular network data including a second CNI. The system may display a first view of the first cellular network data and a graphical element configured to cause the cellular network system to display a second view of the first cellular network data. A context view representing a context may be displayed within the GUI. The context of the request to be used in subsequent requests.

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 device is configured to perform positioning sessions and radio frequency (RF) sensing sessions in a cellular network. The positioning sessions may be previously defined positioning sessions, in which a device uses reference signals (RSs) to generate positioning measurements. RF sensing sessions may be defined sessions using the existing infrastructure for positioning sessions in order to generate RF sensing measurements. With the device to report both the positioning measurements and the RF sensing measurements, the device may adjust a previously defined measurement report for positioning measurements to also include RF sensing measurements, or the device may generate newly defined measurement reports to include the RF sensing measurements. The device may also prioritize reporting the positioning measurements and the RF sensing measurements, which may be based on a latency requirement of the different measurements, a quality of the measurements, or a use case of the device.