1206 results about "Mobile communication network" patented technology

The invention relates to a 5G network slice dynamic scheduling method and system based on multi-modal space-time perception and an event knowledge graph, and belongs to the technical field of mobile communication network resource management. According to the method, the change of a physical scene is sensed in real time by constructing a dynamically evolved event knowledge graph and designing a double-flow space-time cross network in combination with visual semantic analysis; dynamically adjusting the resource prediction model by adopting an event-scene dual-drive mechanism, dynamically adjusting parameters of the gated recurrent neural network through an elastic adjustment factor, and optimizing a multi-target resource allocation strategy based on a reinforcement learning algorithm; a two-stage resource scheduling mode is adopted, non-preemptive resource allocation of priority guarantee is implemented in an event triggering stage, and an optimization strategy of continuous adjustment is deployed in a steady-state stage. According to the method, the resource utilization efficiency and the service quality in a high-concurrency scene are remarkably improved, the method is compatible with an O-RAN standard interface, and the method is suitable for high-reliability and low-delay communication scenes such as smart cities and industrial internet.

A method includes sending, by a user equipment (UE), a registration request message to a mobile communication network, the message including a core network capability indication that the UE supports partial registration of at least one network slice that is not available within all of the tracking areas in a registration area. The method includes, receiving, from the mobile communication network, a mobility management message having parameters for (i) one or more allowed network slices supported by each tracking area of the registration area, and (ii) a partial network slice registration identifying at least one local network slice that is supported in at least one, but not supported within all of the tracking areas. The method includes configuring the UE to use the local network slice of the partial network slice registration when the UE is located in the tracking area supporting the local network slice.

A device may include a memory configured to store an artificial intelligence or machine learning model (AI / ML) configured to provide an output used in radio resource management of a plurality of cells; and a processor configured to: obtain cell-specific parameters of the plurality of cells of a mobile communication network; select a subset of the plurality of cells based on obtained cell-specific parameters; and cause the AI / ML to be trained with radio access network (RAN)-related data of the subset of the plurality of cells.

The invention discloses a sea area dynamic communication method and system constructed based on a signal boat relay chain, and relates to the technical field of ocean mobile communication networks. The communication priority index matrix adopts a multi-target particle swarm optimization algorithm to carry out optimal configuration on the deployment position of the signal boat in the target sea area and output a signal boat network initial topology; based on the communication priority index matrix, constructing an optimal multi-hop communication path for each terminal task node, and adopting a bandwidth weighted shortest path algorithm to output a path stability score to perform path selection and updating; and evaluating the link health degree based on the path stability score, and continuously executing a link state monitoring task on all the running communication paths. According to the invention, intelligent deployment and path stable scheduling of the signal boat are realized, the coverage rate, fault tolerance and task adaptability of an ocean communication system are improved, and communication continuity and system flexibility are guaranteed.

The invention relates to a signal interference optimization method and device. The method comprises the following steps: monitoring network parameters in a mobile communication network, and evaluating the interference level of each target frequency band in the mobile communication network according to the network parameters; generating a frequency allocation strategy according to the interference level, the frequency allocation strategy being used for dynamically matching the communication signal to the optimal frequency band; in addition, according to the interference level and the network parameters, a power adjustment strategy is generated, and the power adjustment strategy is used for dynamically adjusting the transmitting power of each base station in the mobile communication network so as to reduce signal interference. According to the application, the collateral dredging parameters are monitored in real time, and the optimal frequency band is dynamically matched for the communication signal according to the network parameters, so that the frequency band with serious interference is avoided, and the communication quality is ensured; meanwhile, according to the power adjustment strategy, the transmitting power of each base station can be dynamically adjusted based on a feedback mechanism, the signal interference is reduced while the communication requirement is met, the communication quality is further improved, and the increasing communication requirement of the user is met.

Apparatuses, methods, and systems are disclosed for zone configuration and provisioning for Vulnerable Road User VRU protection. One apparatus includes a receiver that receives a request to create a high-risk zone, the request including an application requirement that indicates at least a target area, and a processor that determines a VRU high-risk zone configuration in response to receiving the application requirement. The apparatus includes a transmitter that transmits a first set of zone configuration parameters to at least one user equipment UE based on the determined VRU high-risk zone configuration and transmits a second set of zone configuration parameters to at least one network function in a mobile communication network.

The invention relates to the technical field of mobile communication networks, and discloses a network recovery method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring a network operation parameter of a current network node; analyzing the network operation parameters, and judging whether the current network node has a network fault or not based on an analysis result; if the analysis result represents that the current network node has the network fault, determining target fault information of the network fault; determining a target recovery strategy corresponding to the target fault information according to a mapping relation between the fault information and a network recovery strategy; and performing network recovery on the current network node according to the target recovery strategy. By implementing the technical scheme of the invention, multi-dimensional real-time fault detection and intelligent automatic recovery of the network can be realized, the fault response time is remarkably shortened, the stability and service continuity of network communication are improved, and the operation and maintenance cost and the manual intervention requirement are reduced at the same time.

There is provided a method for providing energy data analytics for a data network associated with a wireless communication system, the method comprising receiving at least one input parameter associated with energy usage corresponding to the data network, deriving energy data analytics for the data network based on the received at least one input parameter, and sending an energy data analytics output parameter based on the derived energy data analytics, wherein the energy data analytics output parameter comprises an energy usage statistic or energy usage prediction for the data network.

Apparatuses, methods, and systems are disclosed for establishing a data connection for UAV operation. One apparatus includes a processor and a transceiver that communicates with a mobile communication network via an access network. Here, the processor sends (e.g., via the transceiver) a data connection request to a session management function, the data connection request requesting unmanned aerial vehicle (“UAV”) operation. The processor receives (e.g., via the transceiver) a response to the data connection request. Here, the response includes remote identification and tracking information (“RITI”) for the UAV operation. The processor further sends (e.g., via the transceiver) one or more UAV data reports to a UAV Traffic Management (“UTM”) function using the RITI.

A method is disclosed including receiving a request for providing at least one of sensing capability information or sensing environment information; gathering, based at least in part on the request, at least one of the sensing capability information or sensing environment information; providing at least one of the gathered sensing capability hardware information or sensing environment information towards a central entity of a mobile communication network; and receiving an assignment for one or more sensing operations. It is further disclosed an according apparatus, computer program and system.

The invention relates to the technical field of network load prediction and scheduling methods, in particular to a mobile communication network load prediction and scheduling method and system based on deep learning, and the method comprises the steps: obtaining data from a plurality of edge computing nodes, including base station data, user behavior data and environment parameter data; constructing a multi-layer model for load prediction and resource scheduling based on cooperative work of the central system and the edge system; carrying out feature extraction by utilizing a dynamic feature embedding transformation module in the edge computing node; recursive spatial-temporal feature processing is carried out based on the optimized features; generating a network load prediction result through the prediction model; and resource scheduling optimization is performed through a reinforcement learning model based on a prediction result, and multi-dimensional features are nested and mapped to a high-dimensional feature space through dynamic feature embedding of original data. And the nested features are further optimized through a time-varying collaborative tensor optimization algorithm, so that the spatial relevance between different base stations can be enhanced while complex nonlinear features are captured.

Techniques are described for subscription onboarding based on digital identifier (DIG-ID). One method includes acquiring a DIG-ID having a verifiably secure identity; transmitting a first request comprising the DIG-ID, a timestamp, and a digital signature (DS) associated with the DIG-ID and the timestamp; establishing a provisioning connection to a mobile communication network; and receiving at least one of a subscription credential and a user subscription profile via the provisioning connection.

The present disclosure discloses a master node, a secondary node and a user equipment in a mobile communication network and communication methods thereof. According to an implementation, a method performed by a master node (MN) in a mobile communication network, comprises with receiving from a user equipment (UE), a first message including information reporting a failure of a secondary cell group (SCG) in case that a secondary node change from the source secondary node to a first target secondary node is failed and transmitting, to the source secondary node, a second message including information associated with a failure of the secondary node change, wherein the second message includes at least one of following information, an identifier of the first target secondary node where the failure of the secondary node change occurs, an identifier of the source secondary node to which the UE successfully connects before the failure of the secondary node change, and information on a type of the failure of the secondary node change.

The invention provides a data security risk early warning method and system based on big data analysis, and the method comprises the steps: firstly constructing a data security risk feature map, collecting a heterogeneous data set in a mobile communication network in real time through a multi-source data access interface, generating a multi-source heterogeneous data fusion stream through distributed cleaning and standardization processing, and carrying out the data security risk early warning. Then inputting the data security risk feature into a preset distributed risk feature learning network, performing feature mapping and association enhancement processing based on a data security risk feature map to obtain a real-time risk feature vector, performing big data association analysis on the real-time risk feature vector, mining a risk feature conduction dependency relationship, generating a risk propagation path weight set, and performing big data association analysis on the real-time risk feature vector; and finally, determining a risk diffusion level and a key influence node, generating a security risk early warning instruction containing a risk diffusion path identifier, and pushing the security risk early warning instruction to a mobile communication security management platform, thereby realizing accurate early warning and quick response of the data security risk, and ensuring safe and stable operation of a mobile communication network.

The invention relates to the technical field of Internet of Things terminals, and discloses an Internet of Things equipment security access method based on a mobile communication network, which specifically comprises the steps of Internet of Things equipment identity authentication, Internet of Things equipment permission setting, encryption of data transmitted by Internet of Things equipment, and encryption of the process of data transmission of the Internet of Things equipment. A data backup and recovery system is established through a safety auditing system and auditing log management of the system, and the operation state, network communication quality and the like of the Internet of Things equipment are monitored and analyzed in real time through a performance monitoring system and then optimized. The method can enhance the security of equipment identity authentication, improve the confidentiality and integrity of data transmission, reduce the security risk and vulnerability utilization, improve the flexibility and expandability of the system, enhance the defense capability and emergency response speed of the system, and improve the user experience and data reliability. And the security and the reliability of the Internet of Things equipment when the Internet of Things equipment accesses the mobile communication network are ensured.

The invention discloses a mobile communication network multi-dimensional competition insight method based on DeepSeek large model and multi-agent cooperation, and relates to the technical field of mobile communication network and artificial intelligence crossing, and the method comprises the steps: collecting and preprocessing multi-modal data; carrying out fusion on the preprocessed multi-modal data; constructing a competing network insight agent comprising a special agent and a universal agent; a communication and cooperation framework is constructed, and information sharing and cooperation work of the special intelligent agent and the universal intelligent agent are achieved; carrying out data model design on the special intelligent agent from different dimensions; performing special training on the DeepSeek large model to obtain an enhanced Qwen-32B large model; user requirements are input based on the question and answer interface, the intention recognition module recognizes user intentions, the Qwen-32B large model is called to generate answers, or the Qwen-32B large model and the competition network insight intelligent agent are called to complete professional analysis, thinking and reasoning, and the questions and answers are output and displayed to users for viewing through the question and answer interface. According to the invention, efficient and accurate competition decision support can be provided for mobile communication operators.

The invention discloses a mobile cellular signal ranging method and positioning system based on machine learning. The method comprises the following steps of: continuously receiving two paths of I / Q original signals sent by a base station, performing time synchronization so as to calculate frame starting positions, performing differential operation on the frame starting positions at previous and later moments, generating a clock skew data set, establishing a time sequence prediction model of the base station, and extracting clock skew information between the base station and a receiver from the time sequence prediction model. When a system starts to carry out distance measurement between a base station and a receiver, a pseudo range and a frame starting position which are obtained at a previous moment are utilized to carry out analysis and difference to serve as input of a time sequence prediction model, and the clock skew of the base station at a subsequent moment is accurately predicted. And the clock skew is compensated to the pseudo-range estimation process, so that the distance between the base station and the receiver is calculated. The invention provides a method for realizing accurate and sustainable distance measurement and positioning of a receiver on the basis of the existing mobile communication network infrastructure.

The invention relates to a method and a communication device. The method comprises the following steps: when registration of terminal equipment in a non-terrestrial mobile communication network NTN is completed, the terminal equipment enters a first mode; wherein the terminal equipment does not need to initiate periodic registration to the first core network equipment of the NTN in the first mode; the registration completion of the terminal equipment in the NTN can be understood as follows: the terminal equipment sends a first message for requesting registration to the first core network equipment and receives a second message which is from the first core network equipment and indicates to accept the registration request.

Apparatuses, methods, and systems are disclosed for multipath QUIC for ATSSS using stream-aware steering mode. One method includes establishing a multiaccess data connection with a mobile communication network. The method includes establishing a plurality of QUIC connections, each QUIC connection supporting data transmission with a mobile communication network over first and second access networks. The method includes detecting a data packet to be transmitted via the multiaccess data connection and selecting a first steering rule from a configured set of steering rules. The method includes selecting a first QUIC connection of the plurality of the QUIC connections. The method includes allocating a new stream in the first QUIC connection, where the new stream is configured to transmit data traffic using a steering mode of the first steering rule and sending the data packet using the new stream.

The invention relates to a distributed fault positioning system and method for a power transmission and distribution line, and the system comprises the power transmission and distribution line, an acquisition unit group, a collection unit, a communication base station, a cloud server, and a data terminal. The acquisition unit group is used for monitoring current, self state parameters and the like of the power transmission and distribution line, the collection unit is used for receiving and sending communication data with the acquisition unit group, the communication base station is used for receiving and sending communication data with the collection unit, and the cloud server is used for communicating with the communication base station and the data terminal. And the data terminal is equipment with a communication function at the user side. According to the scheme, the application range of a line fault positioning system is expanded, including mountainous areas without mobile communication network coverage, a mode of collecting and installing equipment distributed calculation is adopted, the accuracy and efficiency of fault positioning are improved, the line patrol time is saved, the time of line power restoration is shortened, and the reliability of a power supply system is effectively ensured.

An object is to provide a communication apparatus capable of preventing a rapid increase in traffic in a mobile communication network capable of providing a communication service when a disaster occurs. A communication apparatus (1) according to the present disclosure includes: a transmission unit (2) configured to transmit list information indicating networks that are available when a disaster occurs in a case where identification information of a terminal apparatus is associated with a high-priority terminal, and configured not to transmit the list information in a case where the identification information is not associated with the high-priority terminal.

The invention belongs to the technical field of mobile communication networks. The invention provides a virtual terminal simulation device and a network access test method thereof. According to the embodiment of the invention, the virtual terminal simulation device based on the software radio platform is adopted, the authentication signaling between the MME and the HSS is utilized, and the bidirectional authentication between the virtual terminal simulation device and the LTE core network is broken through, so that the real network access and specific service test of the virtual terminal equipment without the SIM card are realized. Compared with the prior art, great flexibility is provided, protocol stacks and related business process algorithms are allowed to be realized and modified from a software level, customized development and testing are carried out for specific business scenes, and researchers can deeply explore security vulnerabilities in a network and test the effectiveness of various security measures.

A method for adjusting network cell parameters in a self-organizing cellular mobile network using a data processing system. The method involves creating an Environment that simulates the network based on radio measurement data, network performance data, and electromagnetic field simulation. A Deep Reinforcement Learning (DRL) Agent interacts with this Environment to simulate the effects of parameter changes on network performance. The Environment calculates and returns a Reward to the DRL Agent, which is used to train the Agent and estimate Q-values. The DRL Agent selects actions based on a policy that balances greedy actions, random actions, and constrained random actions. If the DRL Agent violates a predetermined constraint, the Environment returns a penalizing Reward.

Embodiments of this application provide a communication method and a network element device. The method includes: A first network function network element obtains integrity-protected attestation information, where the attestation information includes an attestation result and range indication information associated with the attestation result; generates a service request message when determining that a service provided by a second network function network element is to be requested; and sends the service request message to the second network function network element, where the service request message includes the attestation information and an identifier of the first network function network element. The method disclosed in this application can prevent and mitigate a potential security risk faced by a network function in a mobile communication network, especially faced by a network function implemented in a software or virtualization manner.

A method for computing or estimating a service time interval or service time information related to a user equipment in a mobile communication network includes: in a first step, generating, by the user equipment, location information related to the user equipment's position; and in a second step, computing or estimating, by the user equipment, the service time interval or the service time information, wherein the computing or estimating is based on the location information related to the user equipment's position and based on reference location information received from a base station entity.

Various example embodiments relate to a cell switch in a mobile communications network, in which a user equipment receives a radio resource control (RRC) reconfiguration message related to a Layer 1 / Layer 2 (L1 / L2) triggered mobility (LTM) procedure, determines whether the UE can pre-process at least a portion of the RRC reconfiguration message related to the LTM before receiving a cell switch command to perform the cell switch, performs pre-processing of at least a portion of the LTM-related portion of the received RRC reconfiguration message, and transmits, before receiving the cell switch command, a message including an indication of the pre-processed portion of the LTM-related portion of the radio resource control reconfiguration message towards a network node of a radio access network to which the user equipment is connected.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. According to the present disclosure, MBS services for flexible and dynamic MBS service scenarios become possible in the next-generation wireless communication systems.

A mobile communication network comprising a plurality of radio network nodes; a service manager orchestrator module configured to handle network service and operation and configuration of the radio network nodes by generating requests requesting policies for the management of said radio network nodes; a controller platform configured to manage the radio network nodes by controlling the execution of applications for carrying out tasks on the radio network nodes according to policies requested by the service manager orchestrator module through the requests. The controller platform comprises: a database module configured to store configuration data comprising data about the configuration and status of said tasks and of said applications; a data buffer module configured to manage data communication among the applications, the service manager orchestrator module and the radio network nodes; a control system configured to manage the lifecycle of the applications by controlling the data buffer based on said configuration data.