OFDM Based Image Transmission through Plastic Optical Fibers for Low Rate Internet of Things Applications

This study proposes and investigates an image transmission system that utilizes Orthogonal Frequency-Division Multiplexing (OFDM) and Software-Defined Radio (SDR) to transmit images over Plastic Optical Fiber (POF) in Internet of Things (IoT) scenarios. The initial system focused on transmitting and receiving grayscale images due to the resource limitations of an IoT-like OFDM signals and the SDR system. To broaden the applicability of this system, the deep learning library, DeOldify, was used to recolor the received images. Different hardware and software parameters were tested, focusing on various frequencies and laser biases to observe how they affected and to determine which conditions performed best. Finally, results show the feasibility of the proposed system according to usual metrics as Bit Error Rate (BER) and decoded colored image examples are presented.