4026 results about "Radio access network" patented technology

This disclosure relates to methods, systems, and devices for AI / ML assisted management of a radio access network (RAN). In particular, an LLM is employed to generate answer to user queries, for example in the form of code that can be executed upon streaming data from the RAN, including performance management and control management databases. To provide prompts the LLM can understand, an LLM agent employs a knowledge base and experience base to transform the language of the queries from the highly technical telecommunications domain to a general domain. Frequently asked questions and their answers may be stored in the experience base and used instead of using the LLM.

A device may include a processor configured to monitor a data flow, associated with a user equipment (UE) device, in a Radio Access Network (RAN). The processor may be further configured to detect a congestion condition for the monitored data flow associated with the UE device; generate an Explicit Congestion Notification (ECN) in response to detecting the congestion condition; and mark packets associated with the data flow with the generated ECN.

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.

A method of simulating a network for machine learning and training is provided. The method can include generating a simulated model (digital twin) of a network, wherein the simulated model is based on receiving network data from the network. The method can also include training a machine learning model based on data received from the simulated model and operating the trained machine learning model within the network. In addition, the network may be based on an open radio access network (O-RAN). Further, the method may include operating the simulated model within a non-real-time (Non-RT) radio access network intelligent controller (RIC) framework. Also, the method may include operating the simulated model within a near-real-time (Near-RT) radio access network intelligent controller (RIC) framework. In addition, the method may include operating the simulated model in parallel with the O-RAN.

The invention overcomes the constraints imposed by conventional wireless communication standards by introducing a physical-layer optimized architecture that decouples transmission control from any single protocol. Rather than being confined by the predefined behaviors of LTE, 5G NR, Wi-Fi, or NB-IoT, the system implements a unified control system that dynamically manages radio parameters—such as modulation, coding, and power—based on real-time link quality and network context. This cross-standard, multimode capability effectively supersedes traditional standard-driven implementations, enabling adaptive, low-latency, and spectrum-efficient communication in complex heterogeneous environments.The system dynamically controls radio access network (RAN) and physical layer parameters, including carrier aggregation, dynamic spectrum allocation, modulation and coding scheme (MCS) adaptation, beamforming configuration, channel coding, transmit power control, and frequency selection. The system architecture includes multi-mode base stations, relay nodes, and edge access points that support inter-RAT handover, fast radio link recovery, and seamless mobility across diverse wireless technologies.

Aspects relate to core network entities that: establish a session including at least one of: application data unit (ADU) detection rules, or ADU handling rules related to a detection of ADUs in a user plane, and determine, for one or more quality of service (QOS) flows, whether ADU awareness applies based on an application of the ADU detection rules, or the ADU handling rules; and transmit a request to create a session that supports ADU-based QoS flows, negotiate at least one of: ADU-based QoS policies, or ADU QoS rules applicable to the session, and receive an acknowledgment of creation of the session in response to completing the negotiating. A radio access network entity conveys, during a session, one or more ADUs to a user equipment via a user plane in compliance with ADU-based QoS policies associated with at least one ADU aware QoS flow.

Apparatuses, systems, and techniques to perform an API to indicate an allocation of wireless signal processing operations. In at least one embodiment, a distributed unit and radio unit perform one or more operations based, at least in part, on an indicated allocation. In at least one embodiment, a processor comprising one or more circuits performs an application programming interface (API) to indicate an allocation of wireless signal processing operations between one or more Open Radio Access Network (O-RAN) radio units (RUs) and one or more O-RAN distributed units (DUs).

Embodiments include methods for a user equipment (UE) configured to report quality of experience (QoE) measurements in a radio access network (RAN). Such methods include monitoring performance of one or more services, of a UE application layer, that communicate with corresponding one or more application servers via the RAN. Such methods include, based on the monitoring, detecting one or more incidents that negatively affect user QoE and classifying each of the incidents as one of a plurality of categories of severity. Such methods include sending to a RAN node a message that includes the following: a QoE incident report that includes at least one count of incidents during a measurement period, with each count corresponding to a different category of severity; and results of radio measurements performed by a UE radio layer during the measurement period. Other embodiments include complementary methods for a network node or function (NNF).

A method for providing enhanced resiliency of a radio access network (RAN) cell site having multiple sectors includes: providing a first radio unit (RU) simultaneously serving a first set of sectors with a first set of antenna streams; providing a second RU simultaneously serving at least a second set of sectors with a second set of antenna streams; providing a third RU simultaneously serving at least a third set of sectors with a third set of antenna streams; and reconfiguring, by a network management unit, at least the first set of sectors with a reduced antenna configuration in the case of one of a failure or shutdown of the first RU, and all sectors of the cell site are served by the second RU and the third RU to remain in service.

The present disclosure relates to selecting a Local Management Function (LMF) in a wireless communication network, a next generation Radio Access Network (NG-RAN) acquires a capability from a user equipment (UE), the capability indicating whether the UE is capable of supporting LMF in Radio Access Network (RAN). An access and mobility management function (AMF) is then notified whether the UE is capable of supporting LMF in RAN. An LMF selection is then received from the AMF. Then a response is transmitted to the UE based on the received LMF selection, the response indicating whether a positioning procedure to be carried out by the UE is based on LMF in RAN. In this manner, the capabilities of the UE are taken into consideration when selecting an LMF for a positioning procedure.

Disclosed are various embodiments for dynamic availability zones in radio-based networks. In one embodiment, excess resource capacity on a radio access network (RAN)-enabled edge server in a cloud provider network is determined. The RAN-enabled edge server is located at a cell site and is configured to perform distributed unit (DU) and / or centralized unit (CU) functions for a RAN. The excess resource capacity is offered as part of a cellular capacity zone that is generally available to customers of the cloud provider network.

Apparatuses, systems, and techniques to perform an API to indicate an allocation of wireless signal processing operations. In at least one embodiment, a distributed unit and radio unit perform one or more operations based, at least in part, on an indicated allocation. In at least one embodiment, a processor comprising one or more circuits performs an application programming interface (API) to indicate an allocation of wireless signal processing operations between one or more Open Radio Access Network (O-RAN) radio units (RUs) and one or more O-RAN distributed units (DUs).

Embodiments include methods for a user equipment (UE) configured to communicate with a radio access network (RAN) via at least a master cell group (MCG). Such methods include receiving a plurality of conditional reconfigurations from the RAN. Each conditional reconfiguration is associated with a mobility procedure. one or more candidate target cells. and an execution condition. Such methods include storing the plurality of conditional reconfigurations and executing. according to a first reconfiguration. a first mobility procedure towards a first target cell served by a second RAN node. The first mobility procedure and the conditional reconfigurations are associated with a same one of the MCG and a secondary cell group (SCG) for the UE. Such methods include selectively maintaining or releasing each of the stored conditional reconfigurations. after executing the first mobility procedure. Other embodiments include complementary methods for the second RAN node and for a first RAN node.

Disclosed are various embodiments for automated deployment and management of distributed units (DUs) in a radio-based network. In one embodiment, it is determined to deploy a radio-based network at least partially using infrastructure of a cloud provider network. A radio access network (RAN)-enabled edge server of the cloud provider network is deployed to a physical location of the radio-based network. The RAN-enabled edge server is configured to perform a set of distributed unit (DU) functions for the radio-based network.

Embodiments include methods for a first user equipment (UE) configured for sidelink (SL) communication with at least a second UE in a wireless network. Such methods include receiving, from a radio access network (RAN) node of the wireless network, a first message indicating that the first UE is permitted to initiate one or more channel occupancy time (COTs) for a channel in unlicensed spectrum and to share the one or more COTs with at least the second UE for SL communication. Such methods include initiating a first COT of the one or more COTs for the channel, as permitted by the first message; and receiving data from the second UE based on SL communication via the channel during the first COT. Other embodiments include complementary methods for a second UE and for a RAN node, as well as UEs and RAN nodes configured to perform such methods.

A method (100) is disclosed for managing a wireless device that is operable to connect to a communication network, wherein the communication network comprises a Radio Access Network (RAN), and wherein the wireless device has available for execution a Machine Learning (ML) model that is operable to provide an output, on the basis of which a RAN operation performed by the wireless device may be configured. The method, performed by a RAN node of the communication network, comprises, on fulfilment of a trigger condition, causing an ML model Assurance Information, MAI, Request to be sent to the wireless device (110), the MAI Request comprising an indication of the ML model to which the MAI Request relates. The method further corpses receiving, from the wireless device, an MAI Response, wherein the MAI Response comprises ML model characteristic information generated by the wireless device using the ML model (120), and configuring the RAN operation performed by the wireless device according to the received MAI Response (130).

Provided herein are methods and systems for radio access network (RAN) control including receiving, at a base station controller deployed at a base station of the RAN, a data input corresponding to a real-time operational status of the base station; determining a locally optimal signal configuration of the base station; controlling the base station to change a configuration of a signaling component to implement the locally optimal signal configuration; receiving, at an edge controller deployed at an edge of the RAN, a plurality of the locally optimal signal configurations corresponding to a plurality of the base stations within the RAN; determining a coordinated optimal signal configuration of each base station; and instructing, by the edge controller, the base station controller to change a configuration of the signaling component of the base station from the locally optimal signal configuration to the coordinated optimal signal configuration.

Presented are systems and methods for radio access network (RAN) visible quality of experience (QoE) measurement in dual connectivity architecture. A first network node of a radio access network (RAN) may generate a first configuration for at least one quality of experience (QoE) measurement that is to be utilized by the RAN. The first network node may send the first configuration to a wireless communication device to collect the at least one QoE measurement according to the first configuration.

A mechanism is disclosed for performing sidelink positioning between a target user equipment (UE) and an anchor UE, with or without interaction with a fifth generation radio access network (5G) base station (gNB). The mechanism includes transmitting a positioning request from a target UE to one or more anchor UEs via a sidelink communication. Positioning signal received from the one or more anchor UEs via the sidelink communication. Positioning measurement is performed based on the positioning signal.

Conflict management of functions and services (e.g., RAN intelligent controller (RIC) may be performed by displaying a plurality of policies for an interface service of a radio access network (RAN); receiving an indication of selection of a conflict resolution strategy for a selected RAN interface policy type; determining whether the interface service of the RAN has a conflict based on the selected conflict resolution strategy for the selected RAN interface policy type; when the interface service does not have the conflict, accepting the selected conflict resolution strategy for the selected RAN interface policy type and displaying an indication of the selected conflict resolution strategy for the selected RAN interface policy type; and based on the selected conflict resolution strategy for the selected RAN interface policy type, modifying a configuration of the RAN.

Embodiments include methods for a user equipment (UE) configured to communicate with a radio access network (RAN) node comprising a central unit (CU) and a distributed unit (DU) via a serving cell. Such methods include receiving, from the CU via the DU, an RRCReconfiguration message that includes channel state information (CSI) resource configurations associated with at least one candidate cell for L1 / L2-based inter-cell mobility. The at least one candidate cell is provided by one or more neighbor DUs. Such methods include performing CSI measurements on the at least one candidate cell according to the respective CSI resource configurations and sending, to the DU via the serving cell, one or more CSI reports based on the CSI measurements performed. Other embodiments include complementary methods for a CU, a first DU, and a second DU, as well as UEs, CUs, and DUs configured to perform such methods.

A radio access network (RAN) can perform a method for managing security protection for multicast and / or broadcast services (MBS). The method includes receiving (802), from a core network (CN) via a DL tunnel, a data packet associated with an MBS session; prior to transmitting the data packet to a plurality of UEs, determining (804) which security protection to apply to the data packet based on an identity of the DL tunnel; and transmitting (806) the data packet to the plurality of UEs using the determined security protection. A UE can receive (902), from a RAN, a configuration for establishing a logical channel with the RAN; receive (904), from the RAN via the logical channel, a data packet associated with an MBS session; determine (906) which security protection to apply to the data packet based on the configuration; and apply (908) the determined security protection to the data packet.

Embodiments include methods, performed by a user equipment, UE, for reporting failures related to mobility operations by the UE to a network node in a radio access network, RAN. Such methods include logging (1210) information associated with a plurality of failures during conditional handover, CHO, operations related to a source cell and one or more first target cells. Such methods also include, after a successful mobility operation to a second target cell served by the network node, reporting (1240) the logged information, associated with the plurality of failures, to the network node. Other embodiments include complementary methods performed by a network node, as well as UEs and network nodes configured to perform such methods.

A wireless terminal which communicates over a radio interface with a radio access network comprises receiver circuitry and processor circuitry. The receiver circuitry is configured to receive, over the radio interface from the radio access network, at least a first message which concerns implementation of an Artificial Intelligence / Machine Learning (AI / ML) Functionality / feature for the wireless terminal. The processor circuitry is configured: to make a determination that the reception of the first message requires one of the following: an update of an existing model for the Artificial Intelligence / Machine Learning (AI / ML) Functionality / feature; a download of a new model for the Artificial Intelligence / Machine Learning (AI / ML) Functionality / feature for a particular functionality or feature; and to make a determination that a pause maybe necessary to implement the Artificial Intelligence / Machine Learning (AI / ML) Functionality / feature. In an example optional implementation, the processor circuitry may also be further configured to generate a pause notification message.

A method comprises obtaining signature data associated with a network element using a predictive model based on historical radio access data describing a prior incident at the network element in the radio access network, wherein the signature data indicates a pattern of the historical radio access data associated with the prior incident at the network element, inputting current radio access data into the predictive model to obtain a prediction output based on the signature data, wherein the prediction output indicates data regarding a predicted incident at the network element, a predefined time period in which the predicted incident is likely to occur, and a preventative resolution to the predicted incident, and generating a service report indicating at least one of the predicted incident at the network element, the predefined time period, or the preventative resolution.

A method for optimizing uplink performance of Open Radio Access Network (O-RAN) system implementing O-RAN split option 7-2x-based uplink (UL) multiple-input multiple-output (MIMO) operation includes: selectively utilizing non-port reduced DMRS symbols and non-port reduced DMRS measurements to mitigate performance degradation of the UL MIMO in conditions involving high mobility for a user equipment (UE) and / or high interference. The non-port reduced DMRS symbols are DMRS symbols from multiple antenna streams before digital beamforming operation, and non-port reduced DMRS measurements are measurements derived from the non-port reduced DMRS symbols. A radio unit (RU) of the O-RAN system i) extracts the non-port reduced DMRS symbols, and ii) transmits the non-port reduced DMRS measurements to a distributed unit (DU) of the O-RAN system. The DU transmits combining and / or digital beamforming matrix elements to the RU for combining and / or digital beamforming matrix application.

Systems and methods for implementing writing configuration changes in a non-real-time radio access network intelligence controller (NRT-RIC) architecture including a Service Management and Orchestration (SMO) framework and a NRT-RIC framework in an open radio access network (O-RAN) are provided. The method includes: receiving at least one request to write a configuration change to one or more O-RAN Operations and Maintenance (OAM) related functions; authorizing the at least one request to write a configuration change to the one or more O-RAN OAM-related functions from the rApp; validating information provided by the at least one request to write a configuration change to one or more O-RAN OAM-related functions; creating a job for writing the configuration changes based on the information provided by the at least one request to write a configuration change to one or more O-RAN OAM-related functions; and sending a job identifier comprising information about the job to the rApp.

The present application relates to a method for verifying a Channel Quality Indicator (CQI) measurement performed by a first wireless device in a communication network. The communication network includes a Radio Access Network (RAN). The method includes: obtaining a first CQI measurement report including a first CQI measurement value of a measurement performed by the first wireless device on for a first downlink channel between a first RAN node and the first wireless device; identifying at least one neighbour wireless device to the first wireless device; obtaining at least one neighbour CQI measurement report from the at least one neighbour wireless device; aggregating the at least one neighbour CQI measurement report into a reference CQI measurement report set; and verifying the first CQI measurement value using the reference CQI measurement report set. The present application also relates to a verification node and a computer program product.

A method, apparatus and computer program is described comprising: receiving, from a sensing client of a wireless communication system, a sensing service request including information related to a sensing service, requested by the sensing client, to be provided by the sensing management function; selecting, based, at least in part, on the information related to the sensing service, one of: monostatic sensing for the sensing service, in which a first selected radio access network node is used for transmission and reception of radio signals used for sensing, and multi-static sensing, in which one selected radio access network node is used for transmission of radio signals for sensing and one or more other selected radio access nodes are used for reception of radio signals used for sensing.

Embodiments herein relate, in some examples, to a method performed by a network node for anomaly detection in a radio access network, RAN, in a communication network. The network node (11) obtains KPIs for predicting one or more characteristics of the RAN. The network node (11) further classifies multivariate data related to the obtained KPIs in a multiclass classification incorporated into an unsupervised self-learning neural network model; and provides anomaly classification with a root cause of the classified multivariate data from the unsupervised self-learning neural network model.