Abstract: A method for disoriented cell configuration includes determining a first number of misaligned sectors in a first set of disoriented cells of a first set of cells, generating data of a second set of disoriented cells based on the first set of disoriented cells or the first number of misaligned sectors for in the first set of disoriented cells, determining a first set of cross-feeder cells, a first set of sector swap cells or a first set of cyclic swap cells, and changing a configuration of an antenna of a disoriented cell of the second set of disoriented cells. Changing the configuration of the antenna includes changing a connection of a set of cables of an antenna of a first cross-feeder cell, or changing a deployed azimuth of an antenna of a sector in the first set of sector swap cells or cyclic swap cells.

Abstract: A method of implementing plugins in a low-code application, performed by at least one processor, includes receiving, from a user equipment (UE), parameters defining a first plugin, generating a first package defining the first plugin based on the received parameters, and generating the first plugin based on the first package.

Abstract: A booming cell start distance and recommended electronic tilt is identified by retrieving a list of cells served by a first base station. A plurality of grids is generated from the first base station to a predetermined threshold distance. A plurality of selected grids is identified between an acceptable coverage limit and a threshold distance. An evaluation is made regarding whether the first base station is not the dominant cell in each of the selected grids based. The number of grids where the first base station is not the dominant cell site is determined based on a dominant carrier threshold. A column of grids where the first base station is no longer the dominant cell site is determined based on the dominant carrier threshold. A bad booming distance of the cell is determined based on the distance from the first base station and the determined column of grids.

Abstract: A cell range determination is made by determining a sector straddling an azimuth line of a first base station with a center at the coordinates of a first base station. The sector is divided into a plurality of subsectors. A nearest neighbor base station is determined in each of the plurality of subsectors. A set of coordinates is determined for the nearest neighbor base station. An average distance between the nearest neighbor base stations is determined. A bearing angle difference between the nearest neighbor base station and the first base station is determined based on the set of coordinates of the nearest neighbor base station. A gain is determined for each of the plurality of subsectors based on the bearing angle difference. A cell range is determined for the first base station based on the gain.

Abstract: This disclosure provides methods, apparatuses, and computer-readable mediums for rendering a dynamic user interface (UI). In an aspect, a method comprises obtaining a plurality of resources of an entity, and presenting the plurality of resources to a user. The method further comprises receiving, from the user, at least one request to include one or more resources of the plurality of resources in a UI view. The method further comprises creating, based on the at least one request from the user, a UI configuration of the UI view. The UI configuration comprises view information, in a JavaScript Object Notation (JSON) format, of the one or more resources of the plurality of resources to be included in the UI view. The method further comprises generating an identifier for the UI view, associating the identifier of the UI view with the entity, and storing the UI configuration in a database.

Abstract: A migration controller of a network service management apparatus requests, upon detection of the necessity of replacing redundant hardware running on a network system with another hardware, an orchestration unit to disable the redundant hardware. Further, issuing a request to delete a virtual machine on the redundant hardware to a virtualized infrastructure manager causes the network system to perform a failure recovery process to redeploy the virtual machine to hardware after replacement.

Abstract: A method includes receiving a request to generate an application. retrieving a low-code format, generating a low-code package based on the low-code format, and generating the application based on the low-code package. The low-code format is a cross-platform format supported by different application building platforms, and is constructed based on a human-readable universal support format.

Abstract: A mobile device includes a plurality of sensors; a non-transitory computer readable medium configured to store instructions; and a processor. The processor is configured to execute the instructions for receiving first sensor data from a first sensor; and determining whether the mobile device is outdoors based on the received first sensor data and a first threshold. The processor is configured to execute the instructions for receiving second sensor data from a second sensor, wherein the second sensor is different from the first sensor; and determining whether the mobile device is outdoors based the received second data and a second threshold. The processor is further configured to execute the instructions for determining a confidence level of a determination of whether the mobile device is outdoors based on which sensor of the plurality of sensors is used to determine whether the mobile device is outdoors.

Abstract: A CI/CD assist device accepts a test template in which some of fields of test content is set to a variable field in which a value is variable. An NOS sets a value compatible with a first environment in the variable field of the test template to generate test data compatible with the first environment. A test device conducts a test on a network service in the first environment by using the test data compatible with the first environment. An NOS sets a value compatible with a second environment in the variable field of the test template to generate test data compatible with the second environment. A test device conducts a test on the network service in the second environment by using the test data compatible with the second environment.

Abstract: A network operating system (NOS) receives a bundle file transmitted from a vendor terminal of a vendor providing a network service, the bundle file including first data defining a functional unit group that achieves the network service and second data defining a monitoring policy for the network service. The NOS constructs the functional unit group based on the first data of the bundle file when the network service is purchased by a purchaser. The NOS executes a monitoring process on the functional unit group based on information on the functional unit group to be constructed and the second data of the bundle file.

Abstract: A CMaaS unit stores a file defining the details of setting for a network apparatus for achieving a network service available to a user for purchase, in association with the network service. A front-end system receives a request for the network service from the customer. The front-end system provides a user terminal with a setting screen for the network apparatus based on the details defined the file stored in the CMaaS unit. On the basis of a set value input on the setting screen by the user, the CMaaS unit performs setting to the network apparatus (e.g., a CNF).

Abstract: A method and a system for personalized customer dunning, performed by at least one processor. The method includes monitoring a status of a plurality of invoices; obtaining a customer score for a customer corresponding to an invoice of the plurality of invoices, based on the status of the invoice, and wherein the customer score is previously determined based on customer data; receiving customer-specific data via a real time data ingestion pipeline from one or more customer data sources; generating a dunning score for the customer based on the received customer-specific data and the customer score; determining one or more dunning actions, based on the dunning score; performing the one or more dunning actions; and notifying the customer of the performed one or more dunning actions via a first engagement channel.

Abstract: A failure information acquirer of a network service management apparatus acquires, from a network system, a VNF recovery permission request and makes an inquiry to a virtualized infrastructure manager about a state of corresponding hardware to determine a cause of a failure. A recovery process controller grants, when the failure is caused by software, the network system recovery permission, and requests, when the failure is caused by hardware, the virtualized infrastructure manager to cause state information on a virtual machine to indicate an error and then grants the recovery permission.

Abstract: A failure information acquirer of a network service management apparatus acquires, from a network system, a VNF recovery permission request and makes an inquiry to a virtualized infrastructure manager about a state of corresponding hardware to determine a cause of a failure. When the failure has been caused by hardware, a recovery process controller checks whether the amount of resources is sufficient for recovery in the same hardware group. When the amount of resources is insufficient, the recovery process controller enables redundant hardware and grants the recovery permission.

Abstract: A method includes determining a set of test locations based on a network parameter; and determining a subset of the test locations that do not have a point test equipment. The method includes determining a drive test route to cover an area serviced by each the subset of the test locations. The method includes receiving a notification from a drive test equipment in response to the drive test equipment arriving at a first test location on the drive test route. The method includes sending test parameters to the drive test equipment; and receiving a drive test result from the drive test equipment. The method includes determining whether the drive test results meet a drive test specification. The method includes requesting the drive test equipment to relocate to a second test location in response to a determination that the drive test results meet the drive test specification.

Abstract: A booming cell site is identified in a cloud native environment by retrieve an on-air base station from a site database, retrieve a timing advance distribution (TAD) key performance indicator data for a cell site served by the on-air base station from the list, determine a count of configured gaps for the cell site in the timing advance distribution key performance indicator data, determine a count of booming samples that lie beyond the configured count of gaps for the cell site based on the timing advance distribution key performance indicator data, determine a sum of the timing advance distribution key performance indicator data available for the cell site, and determine the percentage of booming cells based on the count of booming samples and the sum of the timing advance distribution key performance indicator.

Abstract: Server hardware failure is predicted, with a probability estimate, of a possible future server failure along with an estimated cause of the future server failure. Based on the prediction, the particular server can be evaluated and if the risk is confirmed, load balancing can be performed to move a load (e.g., virtual machines (VMs)) off of the at-risk server onto low-risk servers. High availability of deployed load (e.g., VMs) is then achieved. A flow of big data may be on the order of 1,000,000 parameters per minute. A scalable tree-based AI inference engine processes the flow. One or more leading indicators are identified (including server parameters and statistic types) which reliably predict hardware failure. This allows a telco operator to monitor cloud-based VMs and perform a hot-swap on virtual machines if needed by shifting virtual machines VMs from the at-risk server to low-risk servers. Servers having a health score indicating high risk are indicated on a visual display called a heat map.

Abstract: Server hardware failure is predicted, with a probability estimate, of a possible future server failure along with an estimated cause of the future server failure. Based on the prediction, the particular server can be evaluated and if the risk is confirmed, load balancing can be performed to move a load (e.g., virtual machines (VMs)) off of the at-risk server onto low-risk servers. High availability of deployed load (e.g., VMs) is then achieved. A flow of big data may be on the order of 1,000,000 parameters per minute. A scalable tree-based AI inference engine processes the flow. One or more leading indicators are identified (including server parameters and statistic types) which reliably predict hardware failure. This allows a telco operator to monitor cloud-based VMs and perform a hot-swap on virtual machines if needed by shifting virtual machines VMs from the at-risk server to low-risk servers. Servers having a health score indicating high risk are indicated on a visual display called a heat map.

Abstract: Server hardware failure is predicted, with a probability estimate, of a possible future server failure along with an estimated cause of the future server failure. Based on the prediction, the particular server can be evaluated and if the risk is confirmed, load balancing can be performed to move a load (e.g., virtual machines (VMs)) off of the at-risk server onto low-risk servers. High availability of deployed load (e.g., VMs) is then achieved. A flow of big data may be on the order of 1,000,000 parameters per minute. A scalable tree-based AI inference engine processes the flow. One or more leading indicators are identified (including server parameters and statistic types) which reliably predict hardware failure. This allows a telco operator to monitor cloud-based VMs and perform a hot-swap on virtual machines if needed by shifting virtual machines VMs from the at-risk server to low-risk servers. Servers having a health score indicating high risk are indicated on a visual display called a heat map.

Abstract: A setting screen controller 50 of an equipment layout design support device 10 controls a setting screen for receiving selection of a device to be housed in a rack, and setting related to a housing destination slot and connection between devices. A device information obtainer 56 reads catalog information and inventory quantity of the device from a device information storage 66, and provides the read information to the setting screen controller 50. A setting information outputter 54 associates the settings with characteristics of the rack and stores the information in a rack information storage 64. The setting screen controller 50 displays the stored rack setting information in a selectable manner at the time of setting rack arrangement in an installation location.