Abstract:
Radio transmission (RT) is a commonly used
process inside radio stations, which enables broadcasting
a radio signal from the radio station to radio channel
listeners all over the world depending on the radio
signal’s strength. Sometimes, radio signal failures can
happen due to various reasons and listeners would not be
able to listen to the radio channels properly. The current
radio signal failure notifying process is being done halfmanual at most of the radio stations while not providing
immediate notifications to the radio station staff. In this
paper, a troubleshooting mobile application to get instant
notifications of radio signal failures happening at radio
outstations and predict future radio signal failures based
on the weather components is presented. A cloud
platform, IoT technology, and machine learning
technique are combined with the aforementioned system
to provide fast service to the radio station end-users. A
key benefit of this system is that even though the users are
out of the radio station, the system will be one notification
away from the users to notify about sudden radio signal
failures along with the future radio signal failurepredicting feature using Machine Learning.