Summary:
This paper presents the design, implementation, and validation of a highly sensitive power measurement system using Software Defined Radio (SDR). The system was implemented in an 18 km radio link operating in the 5 GHz frequency band, considering a tropical urban environment in the cities of Guayaquil and Duran. The system was implemented using LabVIEW and the NI-USRP 2921, together with a cooling system. The system was validated using the ITU-R P.838 recommendation to estimate rain rate and the recurrent neural network (RNN) algorithm to predict the attenuation values of the wireless link.
Lecturer:
A professional specialized in telecommunications with and interdisciplinary approach involving different science and engineering areas. He has more than 20 years of teaching experience at undergraduate and graduate levels in telecommunications, computer science, and telecom regulation and planning. In addition, he has more than 15 years of research experience in the following topics: modeling of rain rate using microwaves, implementation of wireless digital systems using Software Defined Radio, studying the effect of environmental conditions on the propagation of wireless signals, channel propagation modeling and development of RF localization algorithms, system dynamic modeling of the telecom industry for planning and regulation, and analysis and implementation of IoT and Wireless Sensor Networks.
