A Hybrid technique based on Zadoff-chu and Simplified Selective Mapping for PAPR Reduction in GFDM System

Abstract

The GFDM modulation, a block of non- orthogonal modulation based on filtering in time and frequency axes, offers several benefits, including, high data rate, high flexibility, and high spectrum efficiency, which make it attractive to several 5G applications. However, GFDM suffers from a high PAPR reduction, which decreases GFDM system's performance. In this work, we propose novel hybrid technique for PAPR reduction based on Simplified Selective Mapping (SLM) and Zadoff-Chu Transform (ZCT). The simulations results show that our proposed technique outperforms the conventional SLM and ZCT techniques with about 53.52% in the improvement of the PAPR reduction.