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Jorge Gomez-Ponce
Also published under:Jorge Gómez-Ponce
Affiliation
Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL Polytechnic University, Guayaquil, Ecuador
Facultad de Ingeniería en Electricidad y Computación, Escuela Superior Politécnica del Litoral, ESPOL Polytechnic University, Guayaquil, Ecuador
Topic
Multipath Components,Path Loss,Channel Measurements,Measurement Campaign,Channel Model,Delay Spread,Rx Antenna,Vector Network Analyzer,Angular Spread,Antenna Pattern,Channel Impulse Response,Direction Of Arrival,Horn Antenna,Antenna Array,Beamforming,Beamwidth,Directional Antenna,Dynamic Range,Fast Fourier Transform,Feature Channels,Frequency Band,Propagation Channel,User Equipment,Additive Noise,Angular Domain,Base Station,Block Error Rate,Cluster C,D2D Communication,Emergency Responders,Frequency Points,Intelligent Reflecting Surface,Inverse Fourier Transform,Line Of Sight Direction,Multiple-input Multiple-output,Noise Threshold,Non-line-of-sight,Outdoor Environments,Path Gain,Power Distribution,Run Length,Street Canyon,Street Level,Transfer Function,Uniform Linear Array,Urban Environments,Waveguide,Wireless Communication Systems,Wireless Systems,Ad Hoc Networks,
Biography
Jorge Gomez-Ponce (Student Member, IEEE) received the B.Sc. degree in electronics and telecommunications engineering and the master's degree in telecommunications from Escuela Superior Politècnica del Litoral Guayaquil, Ecuador, in 2011 and 2015, respectively, and the MSEE degree in electrical engineering from the University of Southern California, Los Angeles, CA, USA, in 2019, where he is currently working toward the Ph.D. candidate in electrical engineering. His research interests include statistical and ray-tracer modeling for wireless communication channels e.g., Wi-Fi, UAV, sub-7 GHz, mm-wave, and THz, RF systems design and implementation with DSP/FPGA systems, estimation theory and machine learning applied to wireless communications, and cognitive radio systems.