117 results about "Cell site" patented technology

Network downtime determination and reporting technologies are disclosed. An example method for determining downtime associated with a communications network includes detecting an event that triggers update of a downtime accumulation estimate associated with the communications network, and determining real-time status of a subset of cell sites that is potentially affected by the event. The example method also includes updating the downtime accumulation estimate based on the real-time status of the subset, and comparing the updated downtime accumulation estimate with one or more criteria for reporting the same.

Aspects of the subject disclosure may include, for example, accessing device usage data that can be generated when end user devices connect with the network; and analyzing the device usage data according to identification information of the deployable cell site, which enables determining or estimating a location of the deployable cell site. In one embodiment, this analysis can be based on device usage reports and network performance data. A performance report and / or location map can be generated for an area associated with the deployable cell site. Other embodiments are disclosed.

An automated system provides end-to-end (E2E) orchestration for machine learning (ML)-enabled and software-defined network (SDN)-enabled reactive and predictive (e.g., 5G) cell-on-drone (COD) dispatch and deployment. The system may be configured to detect or predict traffic surges (e.g., relative to typical or baseline levels) in a given cell site and orchestrate provisioning of resources, including COD deployment, to address the surge. COD deployment may involve one or more clusters or colonies of drones equipped with low-powered cellular radio access (or small cell) nodes, where each cluster includes (or is led by) one or more SDN-equipped drones that provide intelligent SDN-on-drone (SOD) functionality.

Aspects of the subject disclosure may include, for example, training a cell-level machine learning model to predict a likelihood of a cell site in a cellular network having service issues that impact customers of the cellular network, training a user equipment (UE) level machine learning model using output information from the cell-level machine learning model and historical information about UE-level performance metrics, receiving, from a customer associated with a UE device operating on the cellular network, information about a service degradation experienced by the customer on the UE device, providing the information about the service degradation to the UE-level machine learning model; and receiving, from the UE-level machine learning model, information identifying a source of the service degradation. Other embodiments are disclosed.

Systems and methods of balancing traffic perform or comprise, in a cell site configured to provide network services in a plurality of layers, respective ones of the plurality of layers having different bandwidth characteristics: receiving a traffic data for the cell site; determining a cell radius for respective ones of the plurality of layers; and in response to a determination that the plurality of layers are coincident, distributing a plurality of users to the plurality of layers based on the traffic data.

Aspects of the subject disclosure may include, for example, communicating management plane (M-plane) data at a first port of a radio unit (RU), the RU being one RU of a set of radio units (RUs) at a cell site of a network operator, the M-plane data related to management and control of the RU, wherein the communicating M-plane data comprises communicating the M-plane data with a distributed unit (DU) over an M-plane segment, and initiating communication of the M-plane data at a second port of the RU, the second port configured for data communication over an alternate M-plane segment to a second RU of the set of RUs for forwarding the M-plane data to the DU over a second M-plane segment between the second RU and the DU, wherein the initiating communication is in response to an interruption in the communicating M-plane data.Other embodiments are disclosed.

Systems and methods for automating radio unit tasks is provided. An example method includes establishing, by one or more processors, a connection between an RU automation component and an RU at a cell site; obtaining, by the one or more processors, RU data associated with the RU; wherein the RU data includes data that identifies one or more RU configuration settings; determining, by the one or more processors, to perform one or more RU operations associated with the RU; and causing, by the one or more processors, the one or more operations to execute.

An inventory system comprises one or more mini-cell sites, one or more reader devices to read tags, and a control system. The mini-cell site comprises radio equipment configured to broadcast power signals within an inventory environment. The control system transmits a first instruction to the mini-cell site to set a configuration parameter at the mini-cell site to a first frequency channel based on mini-cell site capability data and inventory environment data, and transmits a second instruction to the reader device to set a network setting at the reader device to a second frequency channel based on reader device capability data and the inventory environment data. The first frequency channel is different from the second frequency channel.

The disclosed embodiments include a method for classifying cell sites of a virtual network that simulates merging a donor network with an anchor network. The method can include obtaining cell site information of the anchor network and the donor network, simulating the virtual network that merges the donor network with the anchor network, and classifying each donor site based on a value associated with the donor site relative to nearest anchor sites. Any anchor site that is located a threshold distance from the donor site is a nearest anchor site. A donor site is classified for decommissioning when the value is less than or equal to a threshold or the donor site is classified for retaining when the value is greater than the threshold. The method can further include causing an output of an indication of any donor site that is classified for decommissioning or retaining.

Systems and methods of balancing traffic perform or comprise, in a cell site configured to provide network services in a plurality of layers, respective ones of the plurality of layers having different bandwidth characteristics: receiving a traffic data for the cell site; determining a cell radius for respective ones of the plurality of layers; and in response to a determination that the plurality of layers are coincident, distributing a plurality of users to the plurality of layers based on the traffic data.

Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of identifying a public land mobile network (PLMN) identifier associated with a communications network; determining a tracking area code (TAC) range of a plurality of cell sites in a radio access network (RAN) associated with the PLMN identifier; identifying transport network circuits of a transport network connecting the plurality of cell sites with a core network of the communications network; and displaying a user interface comprising a graphical representation of the core network, the transport network and the RAN. Other embodiments are disclosed.

A core network is configured to receive a first message indicative of a trigger event at a mobile device, in which the trigger event occurs when the mobile device is initiating an RFID communication with an RFID tag over a frequency channel, in which the mobile device is also configured to communicate with a cell site associated with the core network over the frequency channel, and perform an interference mitigation action on a cellular communication destined for the mobile device over the frequency channel, in which the interference mitigation action comprises temporarily caching the cellular communication destined for the mobile device over the frequency channel or rerouting the cellular communication destined for the mobile device over another frequency channel.

The present teaching relates to AI-enabled auto-heal of network cells. Bundled embedding models are obtained, via machine learning, based on historic records representing knowledge on past dynamics of a network. Each of the bundled embedding models captures a respective aspect of the past network dynamics. When temporal data is received with real time observations of the network operation, metrics on the performance thereof, and a point of failure, embeddings of the temporal data relating to the point of failure are derived, based on the bundled embedding models, and used to generate, by time series forecasting, a recommendation on an auto-heal resolution. When performance information of the network associated with the point of failure is received, it is used for online learning of learnable parameters associated with the time series forecasting.

A computer-implemented method is described for determining the impact of a cell site deployment plan on a telecommunications network, the method including: obtaining a map of baseline network performance of the telecommunications network in a target area; obtaining a deployment plan for the telecommunications network in the target area, wherein the deployment plan comprises a plurality of potential cell sites; generating, using a model, a signal propagation map for each of the plurality of potential cell sites; generating a map of predicted network performance of the telecommunications network after deployment of the deployment plan based on combining the map of baseline network performance and the plurality of signal propagation maps; determining an impact of the deployment plan by performing a comparison between the baseline network performance and predicted network performance.

Data relating to call failures that occurred in a wireless communication network is accessed from a memory, the data including a plurality of call failure samples. The samples are plotted on a map along with a potential new cell site. An enclosed buffer area is selected around the potential new cell site and call failure samples within the enclosed buffer area are selected. Among the selected samples, a set of samples is selected that are associated with values of a coverage parameter lower than a coverage threshold. A percentage contribution is calculated of the samples in the set among all samples within the buffer area. When the percentage contribution equals or exceeds a first threshold and a number of the samples in the buffer area equals or exceeds a second threshold, it is determined that the potential new cell site is to be deployed.

Systems and methods for Distributed Unit (DU) pooling in ORAN wireless telecommunication networks are disclosed. The system generates multiple virtualized DU instances (vDUs) within a baseband cloud to form an ORAN vDU pool. Baseband processing resources are dynamically shared among cell sites served by respective vDUs within the pool by reallocating idle processing capacities from vDUs serving underutilized cell sites to vDUs serving cell sites with higher traffic demands. The vDUs share common physical server resources, enabling multiple Radio Access Network (RAN) services to run on shared hardware. The system enables efficient resource utilization, enhanced network scalability, and supports multiple cell sites with varying traffic patterns using shared resources.

Disclosed is a method comprising collecting input data comprising at least weather forecast information for an area in which one or more cells are located; providing the input data to a prediction algorithm, wherein the prediction algorithm comprises: a machine learning model trained to predict tropospheric ducting events impacting the one or more cells, and a cell site database indicating a location and one or more configuration parameters of the one or more cells; and receiving, from the prediction algorithm, output data indicating one or more predicted tropospheric ducting events expected to impact the one or more cells based on the input data.

A radiator for an antenna, comprising a radiator head with an active radiation area having a first section and at least one second section, wherein the first section and the at least one second section are conductively connected forming a dual polarized radiator together, and wherein the first section lies within a first plane and the at least one second section lies within a second plane offset to the first plane. Further, an antenna and a mobile communication cell site.

Techniques for synchronizing components of a Lower-Layer Split Radio Access Network (RAN) are provided. In one example, a RAN includes a Cell Site Router (CSR). A first Distributed Unit (DU) and a first Radio Unit (RU) managed by the first DU are both connected to the CSR and synchronized to a Primary Reference Time Clock (PRTC) via reference timing information received from the CSR. A second DU connected to the CSR, the first DU, or both, is synchronized to the PRTC via reference timing information received from the CSR or the first DU. A second RU connected to, and managed by, the second DU, is synchronized to the PRTC via reference timing information received from the second DU.

Aspects of the subject disclosure may include, for example, obtaining data regarding an environment associated with a cell site, identifying one or more coverage pivots from a plurality of coverage locations in the environment, utilizing one or more machine learning (ML) models to determine emission directions for the one or more coverage pivots based at least in part on locations of the one or more coverage pivots and the cell site in the environment, resulting in determined emission directions, and causing ray tracing simulation to be performed using the determined emission directions, wherein the ray tracing simulation enables first signal coverage estimates to be derived for the one or more coverage pivots and used to extrapolate second signal coverage estimates for a remainder of the plurality of coverage locations. Other embodiments are disclosed.

Methods and systems are provided for modifying a downlink configuration of a user device in a cell to mitigate interference. The methods and systems assign, via a first cell site, a first bandwidth to the user device within a serviceable area of the first cell site. The first bandwidth is blanked such that the user device receives data on a second bandwidth that is a smaller bandwidth than the first bandwidth. In addition, the methods and systems determine that the first bandwidth has at least one interference measurement above a threshold. Upon determining that the at least one interference measurement is above the threshold, the methods and systems modify the downlink configuration of the user device to a third bandwidth. The third bandwidth is a smaller bandwidth than the second bandwidth.

A device comprises a processor. The processor may be configured to: receive information about an existing cell site; and generate a distance histogram for the existing cell site based on the received information. Additionally, the processor may be configured to at least one of: calculate, using the generated distance histogram, a first value that indicates an amount of traffic to be offloaded from the existing cell site to a new cell site, or calculate, using the generated distance histogram, a second value that indicates an amount of traffic to be offloaded from operating bands of the existing cell site as a result of an upgrade at the existing cell site.

A user equipment (UE) including a wireless transceiver and a controller is provided. The wireless transceiver performs wireless transmission and reception with a cellular station. The controller performs a first Physical Random Access Channel (PRACH) transmission or retransmission using a first PRACH resource and switches to perform a second PRACH retransmission using a second PRACH resource after the first PRACH transmission or retransmission.

A method. The method comprises periodically retrieving cell site information from operational support systems (OSSs) by an application executing on a computer system, where the cell site information is associated with cell sites sourced by different equipment vendors and associated with different cellular technologies; converting the cell site information received from the OSSs by the application into a uniform format; retrieving maintenance information about cell sites by the application; based on the maintenance information and based on the cell site information in uniform format, determining status of cells by the application; based on the status of cells and based on an inventory of cells disposed at different cell sites, determining a cell site availability for the cell sites by the application; and providing the status of cells and the cell site availability by the application to a network operation center (NOC) application executing on the computer system.

In various embodiments, the present disclosure relates to robot systems configured to operate on a cell tower to inspect, install, reconfigure, and repair cellular equipment. The present disclosure provides a robot for performing audit tasks of cell towers. The robot includes a body portion configured to hold various electronic components of the robot including monitoring equipment disposed thereon, one or more arms extending from the body portion adapted to manipulate components of a cell tower and to facilitate movement of the robot on the cell tower, embedded systems for flight, and wireless interfaces adapted to allow wireless control of the robot. The robot is configured to be controlled by one of a user in a remote location, a user at the cell tower site, and autonomously via direct programing.

Systems and method for installing and testing an alarming system at a cell site includes installing an alarm controller at a cell site; coupling a first end of a cable to an input of the alarm controller and a second end of the cable to a component of the cell site, wherein the alarm controller is adapted to provide alarming associated with the component; placing the component in a failure mode; and verifying that the alarm controller receives the alarm.

In various embodiments, the present disclosure relates to robot systems configured to operate on a cell tower to inspect, install, reconfigure, and repair cellular equipment. The present disclosure provides a robot for performing tasks on cell towers. The robot includes a body portion configured to hold various electronic components of the robot including monitoring equipment disposed thereon, one or more arms extending from the body portion adapted to manipulate components of a cell tower and to facilitate movement of the robot on the cell tower, a tethering system adapted to prevent the robot from falling off of the cell tower, and wireless interfaces adapted to allow wireless control of the robot. The robot is configured to be controlled by one of a user in a remote location, a user at the cell tower site, and autonomously via direct programing.

A system described herein may receive configuration information and Key Performance Indicator ("KPI") monitoring information from a plurality of cell sites of a wireless network, based on which a plurality of cell site models may be generated. The cell site models may be scored and ranked based on the KPI monitoring information for each cell site model and further based on optimization factors. A first ranking of the cell site models includes may be based on a first optimization factor and a second ranking may be based on a second optimization factor. The system may select, based on comparing a requested optimization factor to the optimization factors, the first optimization factor, and may identify the first ranking. The system may select the particular cell site model based on the first score; identify configuration information included in the cell site model; and implement a cell site based on the configuration information.

The technology includes a system to reallocate user experience resources. The system detects network performance in a set of cell areas. The system determines low-performing cell areas and high-performing cell areas by using a network performance model. The system determines common subscribers between the low-performing cell areas and the high-performing cell areas. Based on the common subscribers, the system identifies a recipient cell area and a donor cell area. The system determines a reallocation of user experience resources by using the network performance model to determine scores based on changes to cell site parameters of the donor cell area and the recipient cell area. The system generates an indication that the reallocation will improve user experiences for subscribers of the recipient cell area, without diminishing user experiences for subscribers of the donor cell area.

Systems, devices, and automated processes are described to provide collection of wireless network status data, such as for a 5G or other mobile network, and to automatically created user interactable dashboards providing various status information regarding the operation of the network. Systems and automated processes may obtain status data from a plurality of network components, for example radio units (RU), distributed units (DU), and centralized units (CU) associated with a cell sites, determine an operational state for each of the network components based on the obtained data, aggregate the determined operational states to determine an operational state of the cell sites, generate a dashboard having an indication of the operational states, provide the dashboard to a user interface, receive a user selection from the dashboard, and provide a report detailing the determined operational state.