There is provided a method for determining a suitability of a cell of a network for deployment as a Multiple-Input Multiple-Output (MIMO) cell. The method includes acquiring data associated with a cell of a network and processing the acquired data associated with the cell of the network using a first machine learnt model to obtain one or more metrics indicative of the suitability of the cell for deployment as a MIMO cell. The method also includes generating an indication of whether the cell is suitable for deployment as a MIMO cell based on the one or more obtained metrics.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Methods and related user equipment and radio network node are described in which the UE receives a measurement configuration message via the radio network node, the measurement configuration message comprising a configuration identifier associated with a measurement configuration file, and in which the UE retrieves the measurement configuration file from the radio network node using the received configuration identifier.

An intelligent wireless broadband network and content delivery management within a network includes at least one datacenter, at least one network tower and a plurality of smart nodes may be provided. Each of the plurality of smart nodes may be deployed as a micro point of presence (micro POP) at the at least one datacenter the at least one tower and at each of a plurality of hub-homes within the network. An artificial intelligence (AI) capable compute unit may be configured to provide customization of the plurality of smart nodes based on usage pattern of the plurality of homes at a neighborhood level, and thereby facilitating a dynamic edge network distribution solution for better Internet experience to the end-users.

The present disclosure relates to apparatus, systems, and methods for analyzing characteristics of entities of interest. In particular, the present disclosure provides a mechanism for analyzing information about entities of interest and for rating or scoring the entities of interest based on the analyzed information. The rating or the score of an entity of interest can sometimes be referred to as a placerank value of an entity of interest.

A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

A method for detecting coverage problems is provided. The method includes receiving, at data processing hardware, from at least one user equipment (UE), observations. Each observation includes a signal measurement of a signal emitted from a base station and a corresponding location of the signal measurement. The method also includes generating, by the data processing hardware, a coverage map for the base station based on the received observations, the coverage map indicating a signal characteristic of the emitted signal about the base station. The method further includes determining, by the data processing hardware, an estimated characteristic of the base station by feeding the coverage map into a neural network configured to output the estimated characteristic of the base station.

Disclosed is a method comprising providing a first resource grid as input to a first machine learning algorithm, obtaining a second resource grid as output from the first machine learning algorithm, and transmitting a signal comprising the second resource grid by using orthogonal frequency-division multiplexing modulation.

The disclosed apparatus, systems, and methods relate to a location query mechanism that can efficiently determine whether a target entity is located within a region of interest (ROI). At a high level, the location query mechanism can be configured to represent a ROI using one or more polygons. The location query mechanism can, in turn, divide (e.g., Jesse Hate) the one or more polygons into sub-polygons. Subsequently, the location query mechanism can use the sub-polygons to build an index system that can efficiently determine whether a particular location is within any of the sub-polygons. Therefore, when a computing device queries whether a particular location is within the region of interest, the location query mechanism can use the index system to determine whether the particular location is within any of the sub-polygons.

A mobile terminal assists in the updating of a neighbor cell list associated with a first cell of a wireless telecommunications network. The list comprises elements that identify other cells that have a neighbor cell relationship with the first cell. The mobile terminal comprises a radio transceiver; and a controller coupled to the radio transceiver.