Volume 15, Number 5

A Multifaceted AI-Driven Radio Network

  Authors

George Sturm, Radio Logos, Albania

  Abstract

This paper discusses a unique and revolutionary type of radio network which is driven by various AI techniques. Besides the traditional features of any FM radio network, Radio Logos has incorporated into its system a variety of automated features like weather forecasts, earthquake announcements, monetary exchange rates, listener song requester capability, and the monitoring of equipment. In addition, an advanced real-time defect monitoring system for RF signals has been developed and implemented to monitor the network 24/7. These methodologies are based upon AI techniques ranging from the simple to the advanced.

  Keywords

AI, machine learning, FM radio network, RF signals, MPX, RTL-SDR, time-series, big data, pattern recognition, discriminant analysis, analysis of covariance, logistic regression, NLP, real-time monitoring