624 results about "Telecom network" patented technology

A system for classifying customer communications based on customer intent receives a communication from a customer during a communication session. The communication can include natural language. The system can create an embedding vector based on the natural language of the communication. The first embedding vector can include a numerical representation of natural language extracted from the communication. The system can compare the embedding vector to multiple embedding vectors associated with intent classifications corresponding to a prediction of a type of assistance available for customers. The multiple embedding vectors can be created based on a model that is configured to identify customer intent. The system can identify which intent classification of the multiple intent classifications is associated with the embedding vector based on the comparison. The system can redirect the communication session to a sub-unit of the telecommunications network service provider based on the identified intent classification.

The system (100-2) and method for identification of high ranked neighbor cells in a telecommunications network provide an efficient and accurate approach to selecting neighboring cells with superior performance for handover purposes. The system (100-2) leverages performance metrics, algorithms, and dynamic adaptation techniques to determine the suitability and ranking of potential neighbor cells. By considering factors such as signal strength, signal quality, interference levels, load balancing requirements, and operator-defined policies, the system (100-2) evaluates the performance of neighbor cells and assigns them scores or rankings to identify the higher ranked neighbor cells. The system's dynamic adaptation ensures that the rankings remain up to date and responsive to changing network conditions. The present system (100-2) and method optimize handover decisions, enhance network performance, and provide users with seamless connectivity and improved quality of service.

Errors in network service provisioning are upstream causes to service disruptions interruptions, and failures experienced by a telecommunications network’s subscribers. These challenges are overcome by the disclosed systems for diagnosing and auditing service provisioning errors in telecommunications networks. By addressing discrepancies between Customer Facing Services (CFS) as selected by network subscribers (e.g., voice calling, messaging, roaming, unlimited or limited broadband access) and the current states of network elements in the telecommunications network, the system ensures accurate service delivery. The system performs real-time diagnosis by comparing expected network service configurations, derived from queried subscriber CFS, with the actual network states or configurations through a reverse mapping process. The system's auditing process reduces operational costs and obviates existing techniques of manual inspection.

Methods and systems are described for AI and / or ML model selection in a telecommunications network. One example embodiment includes obtaining a first set of one or more criteria for selecting between at least two AI / ML models; performing at least one measurement procedure to obtain one or more measurements; and using the obtained one or more measurements and the first set of one or more criteria to select between the at least two AI / ML models. A measurement procedure can comprise e.g. CSI, radio link procedure (RLP), positioning measurement, measurement related to cell change procedure etc. Certain described embodiments enhance measurement performance of the measurement (e.g., CQI) and correspondingly improve the outcome / performance of the procedure (e.g., data scheduling) using the measurement. This in turn reduces the overall processing in the UE, frees up at least part of the memory resources and reduces the UE power consumption.

Systems and methods are provided for mitigating atmospheric ducting within a wireless telecommunication network. The disclosure includes determining the configuration of user equipment (UE) within the coverage area of a victim base station, which employs a primary cell operating with time domain duplexing (TDD) and a secondary cell operating with frequency domain duplexing (FDD). Subsequently, a scheduler associated with the victim base station directs uplink communications to be transmitted via the secondary cell, thereby isolating the primary cell during periods of interference.

Conditions are identified in a telecommunications network. Based on the condition, a data store is accessed to identify an associated executable plan for responding to the detected anomaly. The executable plan is generated by an AI agent based on a structured operator-readable document comprising operator-executable procedures. The executable plan comprises a series of operations that are executable by an execution component.

Conditions are identified in a telecommunications network based on data collected from the telecommunications network. The data comprises time series telemetry data collected from telecommunications systems in the telecommunications network or live production data from the telecommunications network; and raw error logs collected alongside the time series telemetry data for the telecommunications systems. Outputs from a time series insight generator and a sentiment analyzer are combined to generate an output report indicative of anomalous metrics in the telecommunications network.

A method is disclosed for managing access in a telecommunications network by utilizing a resource classification layer. The method involves receiving a request at a resource classification layer from a sender to obtain an access token for a receiver service. The sender is associated with a user role that has specific permissions and access rights corresponding to a data sensitivity threshold. The request includes a data payload. A classification value for the data payload is assigned using one or more resource classification models, which are trained on a log of past data payloads. A data sensitivity score is generated by comparing the classification value to a scale of classification values. The method then indicates whether the access token can be granted to the sender by comparing the data sensitivity score against the data sensitivity threshold to verify authorization.

A computer implemented method in a communications network for determining location information about an actual location of a drone comprises obtaining (302) a reported location of the drone at a first time point and obtaining (304) a measurement of radio conditions between the drone and a node in the telecommunications network, at the first time point. The method then comprises predicting (306) radio conditions at one or more locations related to the reported location of the drone, and determining 308 the location information about the actual location of the drone based on the measured radio conditions and the predicted radio conditions.

The invention discloses a communication network fault diagnosis method and related equipment based on multi-modal vector fusion, and the method comprises the steps: carrying out the vector structuring processing of historical heterogeneous telecommunication operation and maintenance data through a multi-modal vectorization engine, and obtaining a historical multi-modal vector set; performing vector fusion processing on the historical multi-modal vector set through a vector fusion center to obtain a historical multi-modal fusion vector; an alarm message queue in a telecommunication network is monitored through a diagnosis decision module, and if an unknown composite fault is detected from the alarm message queue, cosine similarity calculation is carried out on a current fault fusion vector corresponding to the unknown composite fault and a historical multi-mode fusion vector in a hierarchical storage module; and outputting a network fault diagnosis decision result. According to the method, the accuracy and comprehensiveness of network fault diagnosis can be improved, efficient data storage, retrieval and diagnosis decision are realized, the operation efficiency and diagnosis capability of the system are improved, and the method can be widely applied to the technical field of communication network operation and maintenance.

The computer implemented methods, systems, and program instructions detect anomalies in a core network of a telecommunications network. The method comprises: receiving data representative of streams of time series data of a plurality of Key Performance Indicators (KPIs) of the performance of nodes of the core network; comparing the received time series data for each of the KPIs to predicted time series values for each KPI generated by one or more time series analysis algorithms trained with historical data for each KPI to predict the KPI over time; determining any KPIs having deviations between the received time series data and the predicted time series data during a specific time period, wherein each deviation is an anomaly; grouping the streams of time series data for each KPI determined to be deviated to generate anomaly data; using an artificially intelligent clustering algorithm to generate a plurality of clusters, wherein each cluster comprises a subset of the KPIs determined to be deviated that have been assigned to said cluster by the artificially intelligent clustering algorithm; wherein each of the clusters is identified as having an associated root cause.

An alert broadcast system can receive a first alert message indicating an emergency from an alert management system. The first alert message generated by an emergency alert originator can include a unique identifier associated with the emergency. The alert broadcast system can forward the first alert message to a first group of wireless devices and cause each of the first group of wireless devices to temporarily store the unique identifier. The alert broadcast system can receive a second alert message, including the unique identifier from the alert management system. The alert broadcast system can forward the second alert message to a second group of wireless devices. The respective wireless device can perform an action based on a determination that the respective wireless device has received the first alert message prior to receiving the second alert message and that the second alert message is partly duplicative of the first alert message.

A graph representing the source code is computed, the graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A domain model of a domain related to the legacy code base is computed, the domain model comprising a plurality of concepts and relationships between the concepts. A node of the graph matching one of the concepts is identified. A functional role of model is assigned to the identified node. The knowledge of the assigned functional role is used to trigger any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring.

Techniques for determining contact information for an anonymous device on a telecommunications network are described herein. The telecommunications network can implement a server to determine data representing a callback number or other subscriber information for a user equipment (UE) associated with an anonymous status. The server can generate a request for the data based on identifying an anonymous status associated with a message from the UE. The server can request the data from a gateway mobile location center (GMLC) of the telecommunications network using a Representational State Transfer (REST) interface. The server can establish a communication session for the UE by sending the callback number and / or the subscriber information to an emergency service center (e.g., to enable a Public Service Answering Point to communicate with the UE if the communication session is lost).

The invention discloses a multi-dimensional graph series-parallel and visualization method for telecommunication network fraud cases based on a graph database. According to the method, intelligent series-parallel analysis across time-space cases is realized by constructing a knowledge graph containing various entities such as cases, personnel, accounts and equipment and deeply fusing a hard association matching algorithm and a soft similarity graph algorithm. The system has the functions of white list filtering, time sequence behavior analysis, NLP information extraction and the like, and can effectively identify criminal gangs, track fund flow directions and mine crime modes. And finally, dynamic visual display is carried out through a plurality of interactive views such as a force-oriented graph, a time axis and a mulberry-based graph, and clue intelligent pushing and report automatic generation are supported. According to the method, the case association mining depth, the serial-parallel analysis efficiency and the interpretability of a complex network are remarkably improved, and an efficient technical support is provided for the public security organization to fight against telecommunication network fraud.

The present disclosure provides a method (500) and system (108) for creating sessions in a telecommunication network (106). The method includes receiving session request from the CPE and establishing the CPE session in the telecommunication network (106). Upon successful establishment, an individual HGW session request is received corresponding to HGW child sessions for each of a set of HGW devices connected over the CPE session. A unique Packet Detection Rule (PDR) Identifier (ID) is assigned to each HGW child session based on the respective HGW session request. Subsequently, the HGW child sessions are created using the assigned PDR IDs. The method enables efficient session creation, resource optimization, and independent session handling for multiple HGWs operating behind a common CPE in the telecommunication network (106).

The system receives a call at a unique telephone number associated with a wireless telecommunication network and establishes a communication channel with a UE of a user. The system requests and receives a voice sample from the user and a PIN associated with the user. Using the voice sample and the PIN, the system performs a multi-factor authentication. Upon authenticating the user using the voice sample and the PIN, the system authorizes the user to make the modification to a blockchain. Upon failing to authenticate the user using the voice sample and the PIN, the system refuses to authorize the user to make the modification to the blockchain.

A call is classified in a telecommunications network. A transcript of the call is accessed and an embedding vector of the transcript is computed. A database of embedding vectors is searched for a first embedding vector with a defined degree of similarity to the embedding vector of the transcript. Each embedding vector represents an example text associated with a known classification. A first prompt is constructed that comprises: an instruction directed to a large-language model to classify the call using a first example; the transcript; and the first example that includes example text represented by the first embedding vector and the associated known classification. The techniques further comprise prompting the large-language model with the first prompt; receiving a response to the first prompt from the large-language model, comprising a classification of the call; and, in response to the classification meeting a criterion, initiating an action at the telecommunications network.

Aspects herein provide systems, devices, methods, and media for capturing, monitoring and thwarting malicious traffic within a telecommunication network. In aspects, a plurality of decoy nodes are deployed throughout the telecommunications network, wherein the decoy nodes provide realistic outputs and interfaces in response to input and user interactions. Interactions may be intelligently classified. Depending on the classifications, notifications may be communicated and / or action may be initiated the impeded malicious traffic and / or cyber threat actors in near real-time with the interactions.

The verification of individuals entering controlled locations such as events and venues is improved by using wireless devices as the entry tickets themselves, verifiable by a telecommunications network. The wireless device provides a network subscriber's identification information (e.g., a phone number) to an access point terminal, in response to an identification / authentication request from the access point terminal. In order to obtain the identification information to provide to the terminal, the wireless device verifies itself via the telecommunications network, which is capable of verifying the device's subscriber identity module (SIM) via cryptographic protocols. Thus, by verifying the device's SIM, the telecommunications network verifies the identity of the network subscriber operating the device, for purposes of sharing a phone number as an entry ticket. Because entry is controlled according to the device's own network-verifiable identity, third-parties that operate events or venues need not distribute entry tickets (e.g., physical or electronic) to individuals.

Aspects herein provide systems, devices, methods, and media for disrupting malicious traffic within a telecommunication network. In aspects, various mechanisms are deployed by a resolver server to identity malicious traffic and thwart malicious traffic.

The invention relates to a method for operating a user equipment with a telecommunications network and for communicating with at least two of a plurality of network functions or services of the telecommunications network or of a further telecommunications network, the plurality of network functions or services being able to provide different kinds of network function functionalities, wherein the user equipment is operated using at least a first non-access stratum communication link and a second non-access stratum communication link, the first non-access stratum communication link being established between the user equipment and a first network function or service of the plurality of network functions or services, and the second non-access stratum communication link being established between the user equipment and a second network function or service, wherein the first non-access stratum communication link involves establishing a first non-access stratum security context between the user equipment and the first network function or service and the second non-access stratum communication link involves establishing a second non-access stratum security context between the user equipment and the second network function or service, wherein the operation of the user equipment, using at least the first and second non-access stratum communication links, comprises the following steps: —in a first step, the first non-access stratum communication link as well as the first non-access stratum security context is established using a first non-access stratum endpoint information, and the second non-access stratum communication link as well as the second non-access stratum security context is established using a second non-access stratum endpoint information, —in a second step, the first and second non-access stratum communication links are used between their respective endpoints, wherein a first information element of or transmitted using the first non-access stratum security context is able to be referenced by a second information element of or transmitted using the second considered non-access stratum security context and / or wherein a first information element of or transmitted using the first non-access stratum security context is able to reference a second information element of or transmitted using the second considered non-access stratum security context.

In one embodiment, a computer-implemented method comprises, using an application server computer that is communicatively coupled to a database via a telecommunication network, the database comprising a digitally stored relational table schema storing a plurality of term sets, each of the term sets comprising a plurality of terms, the application server computer hosting an application program programmed with a plurality of distractor selection algorithms; executing each of the distractor algorithms to access a particular term from among the plurality of the terms as an input and to generate a plurality of corresponding first interim sets of candidate distractor terms, for the particular term, as an output; executing a first inference stage of a within-set machine learning model over the same particular term as input to generate classification output comprising a second interim set of candidate distractor terms, for the particular term; executing a second inference stage of a cross-algorithm ranking machine learning model over the plurality of corresponding first interim sets and the second interim set to generate a top-N set of best candidate distractors; digitally storing the top-N set of best candidate distractors in a table of the relational table schema in association with the particular term; formatting the top-N set of best candidate distractors with the particular term as a multiple-choice question set and transmitting, to a client computer, presentation instructions which when rendered using the client computer cause presenting a user interface comprising the particular term as a prompt and the top-N set of best candidate distractors as available answers.

Methods and systems for securely sending user plane data from a base station to an Artificial Intelligence (AI) server via a mobile telecommunication network are disclosed herein. A method performed by the base station located in a Radio Access Network (RAN) includes: sending an interface setup request to the (AI) server, receiving an interface setup response from the AI server, establishing, by exchanging cryptographic keys using an Internet Key Exchange (IKE) protocol, a data transport tunnel between the base station and the AI server based on an Internet Protocol Security (IPSec) network protocol, and sending the user plane data from the base station to the AI server for training artificial intelligence based models.

The invention relates to the technical field of communication security, in particular to an anti-telecommunication network fraud call detection system and method based on multi-mode fusion. According to the system, voice, text, voiceprint, dialect, gender and other multi-dimensional data are integrated through a multi-modal fusion technology, and a comprehensive fraud behavior feature portrait is constructed to reduce the false report rate and the missing report rate; a dynamic threshold adjustment mechanism is introduced, detection parameters are optimized in real time in combination with a call context environment and a historical behavior mode, and the adaptability to complex scenes is improved; a feature fusion and efficient clustering algorithm is adopted, rapid processing of large-scale multi-modal data and suspicious call screening are achieved, and the real-time detection requirement is met; and meanwhile, a dynamically updated fraud molecule voiceprint library is constructed, and a deep learning model is combined to continuously learn novel fraud means characteristics, so that the rapid recognition capability of the system on variant verbal skills and camouflage voiceprints is ensured, and a full-chain anti-fraud solution covering data acquisition, characteristic analysis, dynamic decision-making and real-time disposal is formed.

A user equipment of a telecommunications network comprising: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the user equipment at least to: receive a configuration message from a network node, the configuration message providing an indication of an activity to be performed by the user equipment together with a condition related to the activity, wherein the condition indicates when the activity is to be in an active state where the activity is to be performed by the user equipment connected to the network or in an inactive state where the measurement activity is not to be performed.

The present disclosure relates to a pre-5th generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th generation (4G) communication system such as long term evolution (LTE). Disclosed is a method of controlling the activation or deactivation of a Secondary Cell Group, SCG, in a telecommunication network employing Dual Connectivity, DC, comprising detecting at least one of the following triggers: downlink data inactivity detected by a terminating node; uplink data inactivity detected by the terminating node or detected and reported by a User Equipment, UE; UE assistance information reported to a Master Node, MN or Secondary Node, SN; and mobility to the MN or the SN not supporting the SCG deactivation feature.

The system obtains multiple unique identifiers associated with multiple UEs, where a unique identifier among the multiple unique identifiers identifies a UE among the multiple UEs. Based on the unique identifier, the system determines multiple technical capabilities associated with the multiple UEs. The system receives a request for one or more UEs, where the request includes a number of the one or more UEs and a desired technical capability associated with the one or more UEs, and where the request is specified at a level of abstraction that allows more than one UE among the multiple UEs to satisfy the request. Based on the request for the one or more UEs and the multiple technical capabilities associated with the multiple UEs, the system determines a subset of the multiple UEs satisfying the request, and sends a response to the request indicating the subset of the multiple UEs satisfying the request.

A method, a device, and a non-transitory storage medium are described in which lawful intercept service is provided. The lawful intercept service may include transmitting information regarding one or more user plane functions (UPFs) or content of communication (CC) point of intercept (POI) aggregators (CC-PAGs) that have been updated or instantiated on a telecommunications network to an administrative function of a lawful intercept system in the telecommunications network; and automatically provisioning, in response to the informing, each UPF associated with the administrative function regarding identities of available CC-PAGs and selection criteria for determining when to forward intercepted CC to particular ones of the available CC-PAGs.

The invention discloses a telecommunication network unified data acquisition method based on multi-tenant hierarchical control, which belongs to the technical field of telecommunication network management, and comprises the following steps: generating a static acquisition template and an initial acquisition task, cleaning and standardizing original data, storing a standard data set, processing dynamic tenant requests, and combining hierarchical current limiting. Monitoring of the full-link state comprises solving the technical problems of quick response, priority control and whole-process monitoring of data acquisition, the data acquisition efficiency and quality are improved, and the timeliness and accuracy of data acquisition are guaranteed so as to adapt to quick upgrading of network equipment, realize'zero code 'adaptation of new equipment access, and improve the data acquisition efficiency and quality. A dynamic resource allocation mechanism based on tenant levels is established, and an end-to-end acquisition quality monitoring system is constructed.