Low-performing cells, serving a telecom deployment in a given geographical area, are commonly identified by the telecom operators based on one or more Network KPIs computed for each of the cells being part of the deployment. However, most of these KPIs describe the overall state of affairs of the cell without any insight into the user usage profile of the cell. The present disclosure proposes a novel method to adjust the network KPIs based on scores of the macro cell or the small cell (101) with the user usage profile of the cell to obtain the user correlated network scores of the cells and prioritize the low-performing cells in the network in order of degree of impact on users and their usage. Another aspect of this disclosure is that it shall predict and compute a realistic user score to get predictive insights into user profiles for solutions and preventive measures.

An apparatus includes antenna, selector, estimator, imager and creator. The antenna includes antenna elements of N rows by N columns (N is a natural number of 2 or more) arranged in an array and captures an incoming wave. The selector selects an antenna element group including antenna elements of M rows by M columns (M is a natural number less than N) from the antenna elements of N rows by N columns according to a band of the incoming wave. The estimator estimates an incoming direction of the incoming wave from an element signal of each of the antenna elements included in the selected antenna element group. The imager acquires image data by imaging an orientation direction of an aperture of the antenna. The creator creates a visualized image by visually synthesizing the estimated incoming direction with the image data.

An apparatus includes antenna, selector, estimator, imager and creator. The antenna includes antenna elements of N rows by N columns (N is a natural number of 2 or more) arranged in an array and captures an incoming wave. The selector selects an antenna element group including antenna elements of M rows by M columns (M is a natural number less than N) from the antenna elements of N rows by N columns according to a band of the incoming wave. The estimator estimates an incoming direction of the incoming wave from an element signal of each of the antenna elements included in the selected antenna element group. The imager acquires image data by imaging an orientation direction of an aperture of the antenna. The creator creates a visualized image by visually synthesizing the estimated incoming direction with the image data.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A communication environment analysis method according to the present invention comprises the steps of: receiving satellite information and image information of a certain area; identifying area information of an object that is not contained in the image information, on the basis of the satellite information; determining characteristic information of the object; and analyzing a communication environment of the certain area on the basis of the characteristic information, wherein the object is one that causes signal attenuation due to at least one of signal scattering and signal absorption.

The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A communication environment analysis method according to the present invention comprises the steps of: receiving satellite information and image information of a certain area; identifying area information of an object that is not contained in the image information, on the basis of the satellite information; determining characteristic information of the object; and analyzing a communication environment of the certain area on the basis of the characteristic information, wherein the object is one that causes signal attenuation due to at least one of signal scattering and signal absorption.

This application provides an application instance deployment method, apparatus, and a readable storage medium. In one embodiment, a data analysis network element receives a first message from a first network element, where the first message includes indication information used to indicate a first area. The first message is used to request first indication information that includes prediction information of a terminal device accessing an application instance of a target application in the first area. The data analysis network element determines the first indication information, and sends the first indication information to the first network element.

This application provides an application instance deployment method, apparatus, and a readable storage medium. In one embodiment, a data analysis network element receives a first message from a first network element, where the first message includes indication information used to indicate a first area. The first message is used to request first indication information that includes prediction information of a terminal device accessing an application instance of a target application in the first area. The data analysis network element determines the first indication information, and sends the first indication information to the first network element.

Methods and systems are provided for data-driven network roll-out planning. A mobile network that includes at least one sector with a plurality of cells may be rolled-out using carrier aggregation. The carrier aggregation based rolling out includes gathering data from a plurality of network counters associated with two or more cells of the at least one sector; detecting a network congestion situation (Cs), based on a minimal throughput level and an aggregate cumulative distribution function (CDF), where the aggregate CDF is based on the plurality of network counters; identifying one or more cells effecting the congestion situation among the two or more cells; and determining for each of the identified one or more cells whether a capacity or coverage pain point is associated with the congestion situation.

Methods and systems are provided for data-driven network roll-out planning. A mobile network that includes at least one sector with a plurality of cells may be rolled-out using carrier aggregation. The carrier aggregation based rolling out includes gathering data from a plurality of network counters associated with two or more cells of the at least one sector; detecting a network congestion situation (Cs), based on a minimal throughput level and an aggregate cumulative distribution function (CDF), where the aggregate CDF is based on the plurality of network counters; identifying one or more cells effecting the congestion situation among the two or more cells; and determining for each of the identified one or more cells whether a capacity or coverage pain point is associated with the congestion situation.

Systems and methods for localizing individuals in a region using wireless signals in accordance with embodiments are illustrated. One embodiment includes a method for localizing individuals in a region between wireless devices of a system. The method receives wireless signal strength data for signals transmitted along signal paths between several wireless playback devices transmitting on a wireless channel during synchronous playback of media content by the several wireless playback devices and determines a first signal strength for each of several portions of the wireless channel. The method calculates, for each signal path between each of the several wireless playback devices, a difference in the determined first signal strength from a second signal strength for each of the several subcarriers, and determines, based on the calculated differences, a state for a set of one or more individuals in the region.