Abstract: Aspects herein provide a system, media, and methods for/of an application that utilizes and leverages machine learning techniques, infrastructure information (e.g., existing and planned cell sites, lease agreement sites, fiber-optic networks, geographic landmarks), and collected telecommunication data, to accurately identify and determine specific solutions and specific locations for those solutions to be deployed in a geographic area. In embodiments, the application autonomously identifies an optimized specific solution type for various clusters of poor-service coverages areas within the geographic areas. The application also determines a precise location for deployment of each optimized specific solution type for each cluster.

Abstract: Systems and methods are provided herein to dynamically and efficiently optimize network expansion of a network carrier based on UE data collected from a plurality of user equipment (UEs). The UE data is processed based on different computerized algorithms to locate optimal locations for adding a new access point to expand the network. Aspects herein are also directed to systems and methods for generating and displaying dynamic maps on graphical user interfaces (GUI) in accordance with aspects herein.

Abstract: Methods and systems provide in-building coverage analytics from mobile measured data. In one embodiment, outlines of buildings in a region are obtained. The outline defines a footprint of the building in the region. The mobile measured data for the region is obtained. The mobile measured data indicates the levels of mobile coverage in the region. The roaming data for the region is obtained. The mobile measured data and the roaming data for each area within each building outline in the region is combined. Buildings having a poor in-building mobile coverage are identified based on the combined mobile measured data and the roaming data.

Abstract: This disclosure describes techniques that enable a Remote Radio Unit (RRU) configuration controller to detect a misconfigured RRU on a base station node. The RRU configuration controller may be configured to capture telemetry data within a service sector of a base-station node. The RRU configuration controller may further determine a signal Quality of Service (QoS) associated with the service sector, based on the telemetry data. In doing so, the RRU configuration controller may determine whether the RRU associated with the service sector is misconfigured.

Abstract: This disclosure describes techniques that enable a Remote Radio Unit (RRU) configuration controller to detect a misconfigured RRU on a base station node. The RRU configuration controller may be configured to capture telemetry data within a service sector of a base-station node. The RRU configuration controller may further determine a signal Quality of Service (QoS) associated with the service sector, based on the telemetry data. In doing so, the RRU configuration controller may determine whether the RRU associated with the service sector is misconfigured.