T-mobile Usa, Inc.

Anthony J Silveira

Yasmin Karimli

Brian Allan Olsen

Neng-Tsann Ueng

Christopher Peter Chorney

Dibyendu Kumar Goswami

A mobile receiving vehicle may be directed to cover an area to maximize the communication opportunities for mobile computing devices. The demands on the mobile receiving vehicles may change over time and the mobile receiving vehicles may move according to a plan to maximize network access.

Communication to under-served areas using communication enabled vehicles

Systems and methods are described for managing deployment of small cells in a wireless telecommunications network. A wireless telecommunications service provider obtains geolocated traffic data associated with the geographic coverage area of its network. The provider utilizes a planning tool to apply a clustering algorithm to the traffic data and identify areas of high traffic density as candidate locations. The planning tool may evaluate the candidate locations against the existing coverage and capacity of the wireless telecommunications network, and may identify solutions for the particular issues identified at the candidate location. The candidate locations, evaluation scores, and identified solutions may be output for display as a map or table, and the tool may automate various aspects of evaluating, recommending, and implementing identified solutions.

Small cell planning tool

This disclosure relates to cell selection of a telecommunication device based on mobility management algorithms for idle mode cell selection routines and handover routines. The mobility management algorithm can utilize the BTS class of the infrastructure equipment to help determine cell selection. The BTS class of the infrastructure equipment can be used to determine the geographic size of the coverage area that the infrastructure equipment provides. These algorithms can be used to help handle mobility management for telecommunication device.

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Downers Grove, IL, United States of America

Anthony J Silveira