Transmissão de imagens utilizando a tecnologia F-OFDM

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Universidade Federal de Goiás


This work aims to address and evaluate the performance of data transmission of an image using the Orthogonal Frequency Division Multiplexing (OFDM) technology compared to the Filtered Orthogonal Frequency Division Multiplexing (F-OFDM) technology. The F-OFDM is a candidate technology to be used in the new generation of wireless mobile communication, the 5G. In 5G, there is the prospect that high-speed services and availability will be offered to users, such as: low-latency in mobile Internet, telemedicine, communication among devices such as machines and vehicles (D2D - Device to Device) and paradigm of the Internet of Things (IoT - Internet of Things). F-OFDM retains the advantages of OFDM and reduces important disadvantages by using a filter design that smoothes truncation at the ends of its subbands, reducing OOBE (Out Of Band Emission). In this work we also explore how the preparation for the transmission of an image through an OFDM tecnology based network takes place and how it is retrieved at its destination. Finally, simulation results of the transmission of an image through the channels of an OFDM and F-OFDM network are presented and the transmission and reception processes are evaluated using the following performance parameters: BER (Bit Error Ratio), PAPR (Peak to-Average Power Ratio), Power Spectral Density (PSD) analysis in passing bandwidth, impact changes in filter design, and a simplified way of verifying extra band emission (OOBE).



Multiplexação por divisão de frequências ortogonais, F-OFDM, 5G, Internet móvel de baixa latência, Comunicação device to device, Transmissão de uma imagem, OOBE, Variáveis de desempenho, BER, PSD, Orthogonal frequency division multiplexing, 5G, Low-latency in mobile internet, Device to device communication, Image transmission, Performance parameters


SILVA, Leonardo Lucas de Assis. Transmissão de imagens utilizando a tecnologia F-OFDM. 2018. 77 f. Trabalho de Conclusão de Curso (Graduação) - Escola de Engenharia Elétrica, Mecânica e de Computação, Universidade Federal de Goiás, Goiânia, 2018.