PAPR reduction for different O-OFDM in VLC using µ-law companding and convolutional encoder

Abstract EN

Researchers have extensively utilized optical orthogonal frequency division multiplexing (O-OFDM) in visible light communication (VLC) to achieve high data rate transmission for free spectrum bandwidth.

The peak-to-average power ratio (PAPR) is the critical challenge for VLC systems-based O-OFDM that produces non-linearity and degrades performance.

In this paper, a proposed model for PAPR reduction can be applied with different O-OFDM technologies.

This model considered using u-law companding with O-OFDM transmitter to compress high amplitude peaks and restore the signals using de-companding in the receiver.

The obtained simulation results show an efficient achievement of about 75% PAPR reduction compared with the original O OFDM for different techniques.

Furthermore, The convolutional encoder with Viterbi decoder is used with our proposed model for improvement BER performance and tradeoff with PAPR.

The BER performance for different coding schemes, O-OFDM technologies, and modulation orders has been graphed and compared.

It can notice the convolutional encoder / Viterbi satisfies better BER than Hamming coding / decoding.

However, the number of memory cells of the convolutional encoder plays an essential role in BER improvement.