Banca de DEFESA: RAFAEL MENDES CAMPELLO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : RAFAEL MENDES CAMPELLO
DATE: 11/02/2022
TIME: 09:30
LOCAL: Sessão por Videoconferência: Sala: meet.google.com/qaq-kykg-hsn
TITLE:

MACHINE LEARNING APPLICATIONS IN COMMUNICATION SYSTEMS DECODING.

KEY WORDS:

Machine learning. Deep learning. Chaos communication. Error correcting codes. Non-orthogonal multiple access.

PAGES: 80
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUMMARY:

The usage of machine learning (ML) techniques in different academic and professional fields confirms its theoretical and practical utility. The communications field is no exception, in fact, models that learn from data were already in use prior to the recent advancement in the ML field. This work investigates different kinds of usage that can be done with ML models in three different problems, seeking to show their high flexibility and present alternative ways of obtaining classical results which employ well established algorithms, or even outperform them in some scenarios. The first problem discusses the so-called Markov-Gaussian channels and compares a ML model with the already common hidden Markov models approach. The second problem deals with non-orthogonal multiple access transmissions and compares a ML model with the usually employed decoding algorithm. The third presents a chaos-based communication system and compares the maximum likelihood decoding to a neural network-based one.

BANKING MEMBERS:
Presidente - 1285209 - CECILIO JOSE LINS PIMENTEL
Interno - 1851787 - DANIEL PEDRO BEZERRA CHAVES
Externo ao Programa - 1168575 - JOSE SAMPAIO DE LEMOS NETO
Externo à Instituição - TARCISIO FERREIRA MACIEL - UFC