Aspects of the subject disclosure may include, for example, a coverage assessment system operable to receive, via a network, coverage parameter data from a user device, where the coverage parameter data includes location data generated by the user device. The coverage assessment system is further operable to generate coverage assessment data based on the coverage parameter data. Other embodiments are disclosed.

A method of verifying battery and/or equipment connections in a telecommunications site includes performing maintenance or installation of one or more components in a shelter associated with the telecommunication site; subsequent to the maintenance or installation, adding a torque mark to each connection associated with the one or more components; verifying the torque mark for each connection as part of a close-out audit; and verifying the torque mark at a subsequent time after the close-out audit to verify each connection is properly torqued.

Systems and methods to identify whether user traffic is generated indoors (e.g., from within a building) or outdoors for a variety of applications, including improving capacity planning, identifying new products offerings, troubleshooting/planning, competitive analysis, planning optimum locations of capacity planning solution deployment, traffic offload analysis, etc. are disclosed. The method receives and aggregates data from a variety of sources, including customer geolocation data, network data, street/building maps, indoor/outdoor classification of traffic, etc. to generate demand density maps that depict network traffic usage patterns at a building level. The method can then use the demand density maps to identify hotspots, evaluate in-building coverage, and select and rank optimum solutions and/or locations for capacity improvement solutions deployment. As a result, a telecommunications service provider is able to efficiently and economically identify targeted solutions and locations to expand capacity of cell sites and improve customer experiences.

Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points using the correlation bias factor.

A method performed by an apparatus is presented which comprises determining one or more potential installation positions and/or areas for installing one or more radio positioning support devices in a predetermined environment, wherein said one or more potential installation positions and/or areas are determined at least partially based on at least one radio coverage model.

Methods, systems, and devices for steering in mesh networks by a serving device are described. The method may include determining that a client device within a range of the serving device is eligible for steering, where the client device is outside a set of one or more trigger client devices, requesting, based on the determination, a radio resource management report from at least one trigger client device of the set of one or more trigger client devices, receiving the radio resource management report from the at least one trigger client device of the set of one or more trigger client devices, and performing a steering operation of the client device from the serving device to a target device based on the radio resource management report from the at least one trigger client device.

Methods of auto-calibrating antennas in a target environment are provided including obtaining a map and associated scale of the target environment; displaying the map to a user on a user display device; discovering a plurality of antennas present in the target environment; illustrating the discovered plurality of antennas on the map; repositioning at least some of the plurality antennas on the map; locking selected ones of plurality of antennas into a current position to provide a plurality of locked antennas, wherein the plurality of locked antennas is equal to zero or greater; and auto-calibrating a remaining plurality of unlocked antennas, wherein auto-calibrating includes moving each of the remaining plurality of unlocked antennas from a first position to a second position.

A method for estimating communication quality of a wireless network applied to an estimation device having a storage device and a processor is provided. The method includes the steps of: providing coordinate information of a plurality of nodes and at least two kinds of map data; associating the coordinate information of the nodes with the map data to map the nodes to the corresponding positions of the maps; extracting spatial feature data between any two nodes from the associated map data, wherein the spatial feature data include spatial distribution data and spatial attribute data; selecting one of a plurality of path loss models according to the spatial feature data between the two nodes and estimating a pass loss using the selected path loss model, thereby estimating the communication quality between the two nodes.

A cross-platform application is disclosed for shared spectrum operations and CPI management. The application and platform provide an exchange of information usable for CPIs to improve collection of the information required for reporting to the SAS. Some embodiments provide methods to map a floor plan by ray tracing to provide some of the information. In another embodiment, a method includes generating contour information of a floor(s) from two-dimensional and three dimensional models.

A method, a recording medium and an electronic device of 3D geolocation are provided. The method includes the following steps: distributing a plurality of samples that are already 2D-geolocated into a plurality of geographic areas according to 2D locations of the samples, wherein each sample includes a measurement report provided by a user equipment attached to a mobile network; generating a relative sequence of altitudes of the samples in each geographic area according to altitude-related data obtained from the samples in the geographic area; and determining the altitudes of the samples in each geographic area according to the relative sequence of the geographic area.