Rakuten Symphony, Inc.

Rakuten Symphony Singapore Pte. Ltd.

Durgesh Rathore

Sudeep Kumar Jain

Atul Singh Rajpoot

Keshav Sharma

Dharambir Bharti

Nilesh Bankar

Pratishtha Tiwari

Shanu Kore

Aditya Budholiya

Embodiments herein provide a method for prioritizing disoriented cells in a wireless network by an electronic device. The method includes determining a morphology factor of each disoriented cell of a plurality of disoriented cells. Further, the method includes determining a cell type of each disoriented cell of the plurality of disoriented cells based on the morphology factor of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a PRB utilization of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a number of RRC connected users of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a priority for each disoriented cell of the plurality of disoriented cells based on the morphology factor, the cell type, the PRB utilization, and the RRC connected users.

Prioritization of disoriented cells in wireless network

A method, apparatus, and computer-readable recording medium for identifying new growth areas in a telecommunications network. The method includes obtaining first data from a first data source, obtaining second data from a second data source, combining the first data and the second data into third data, based on the third data, creating a grid including tiles having a first area and a first characteristic, and generating a new growth area polygon based on a number of the tiles having the first area and the first characteristic.

Identification of new growth areas in a telecommunications network by identifying areas with no coverage

A method and system for identifying radio transmission links for one or more cells within a network. The method includes receiving location data with respect to a cell within the network, determining if a first line of sight is substantially clear between the cell and a first nearest radio transmitter to the cell, upon determining that the first line of sight is substantially clear between the cell and the first nearest radio transmitter to the cell, determining if the first nearest radio transmitter is a first transmission medium location, and upon determining that the first nearest radio transmitter is the first transmission medium location, creating a radio transmission link between the cell and the first nearest radio transmitter to the cell.

Ultra-broadband radio link identification for outdoor small cell site locations

Methods and systems for optimizing antenna tilt in a cell site of a radio access network (RAN), the system includes: a memory storing instructions; and a processor configured to execute the instructions to: obtain input data for a source cell and for neighboring cells thereof at a plurality of predetermined geolocations; determine an overlap percentage from the input data obtained at the plurality of predetermined geolocations; determine, for the source cell, at least one TA percentage for at least one distance range from a center of the source cell; determine, based on the determined overlap percentage and the determined at least one TA percentage, that the source cell is outside a predetermined cell coverage area; and recommend, based on the determining that the source cell is outside the predetermined cell coverage area, adjustment of the antenna tilt for the source cell to meet the predetermined cell coverage area.

Systems and methods for optimizing antenna tilt in a cellular site

A method of identifying sector load imbalance. The method includes identifying a first set of imbalanced cells in a sector based on a first condition, wherein the first condition is based on network usage of the cells in the sector. The method further includes identifying a second set of imbalanced cells from the first set of imbalanced cells based on a second condition, wherein the second condition is based on one or more physical parameters associated with each of the first set of imbalanced cells. The method further includes displaying visualizations associated with the second set of imbalanced cells, the visualizations indicating miscalculations of the one or more physical parameters.

Sector load imbalance identification system, method, device, and program

Embodiments herein provide a method for handling redeployment of an existing application build. The method includes receiving a build creation command message for redeployment of the existing application build. Further, the method includes determining availability of a module input, a client input, a workspace input, and an application input in the build creation command message. Further, the method includes determining specific chunks of the existing application build for redeployment based on the module input, the client input, the workspace input, and the application input available in the build creation command message. Further, the method includes redeploying the specific chunks of the existing application build.

Micro frontend framework for redeployment of specific chunks of existing application build

A method for disoriented cell configuration includes collecting user data of a first set of cells, determining a disoriented cell of the first set of cells based on the user data, and changing a configuration of an antenna of the disoriented cell. Changing the configuration of the antenna of the disoriented cell includes changing the deployed azimuth of the antenna to be equal to the planned azimuth of the antenna. The user data includes received signal strength of a first set of users, geolocation data of the first set of users, or a cell identifier of a corresponding cell of the first set of cells. The disoriented cell of the first set of cells includes a node with an antenna with a deployed azimuth. The disoriented cell of the first set of cells corresponds to a filtered first set of qualified geolocation data of a filtered second set of users.

Method, apparatus, and computer readable medium

An acceptable coverage limit of a base station is identified by retrieving a list of cells that are served by a first base station. Grids are 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 average reference signal is determined from the plurality of selected grids. An evaluation is made regarding whether the first base station is the dominant cell in each of the selected grids. The number of grids the selected grids where the first base station is the dominant cell site is determined based on a dominant carrier threshold. A column of grids is determined where the first base station is not the dominant cell site. An acceptable coverage limit of the cell is determined based on the distance from the first base station and the column of grids.

Acceptable coverage limit determination

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.

Method of changing antenna configuration, apparatus, and computer readable medium

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.

Electronic tilt coverage

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.

Automatic cell range

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.

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Madhya Pradesh, India

Durgesh Rathore