Author(s)
Carlos Crespo, Manuel Suarez, and Satheesh Bojja Venkatakrishnan
Abstract
Radio mapping is the creation of a visual representation of how Radio Frequencies (RF) behave in an area. Radio Environment Maps (REMs) are important for determining where to best deploy base stations, antennas, access points and repeaters by helping to identify areas with strong or weak signal strength. Data from REMs can be used for improved spectrum efficiency and Quality of Service of cellular devices. We can help maintain consistent user experience using insights from REMs to dynamically adjust parameters like transmission power, antenna tilt, and handover thresholds. We intend on creating REMs utilizing real-time data we have gathered around Modesto Modique Campus (MMC) and the engineering center of Florida International University (FIU) along with simulated coverage maps made using Altair WinProp. To achieve this we will be training a machine learning algorithm with our data. We will be showing our progress with this project, our process for making coverage maps with WinProp, and any difficulties we are currently resolving or have resolved.