Peak shrinking and interpolating for PAPR reduction in M-IFoF-based mobile fronthaul

Abstract

We apply a Peak Shrinking and Interpolating (PSI) scheme to improve the Peak-to-Average Power Ratio (PAPR) performance in Multiple Intermediate-Frequency-over-Fiber (M-IFoF) based mobile fronthaul. The key idea is to detect the high peaks of the signal and shrink them, and then the shrunk peak values are interpolated into the original signal to reduce the PAPR. We also compare the PSI technique with the previous Tone-Reservation (TR) technique and Phase Pre-Distortion (PPD) technique in terms of PAPR reduction effect and computational complexity. The simulation results indicate that the PSI scheme can reduce the PAPR by more than 4.3 ​dB at 0.1% CCDF, which outperforms the two previous schemes with lower computational complexity. Furthermore, we find that altering M-IFoF system parameters has little effect on the performance of the PSI technique.