Adaptive Filter Clipper-Based PAPR Reduction Techniques for Massive MIMO-OFDM

A high peak-to-average power ratio (PAPR) is a critical issue in Massive–MIMO OFDM systems as it increases power consumption. The channel state interference (CSI) is another significant effect in Massive MIMO-OFDM considering wide base stations deployed on measured areas. The research work proposed in this paper mainly deals with various PAPR-OFDM reduction techniques based on computational complexity, bandwidth expansion, spectrum leakage, and performance. In this paper, algorithms that simultaneously achieve multiuser interference (MUI) elimination and PAPR reduction are developed. An enhancement aid approach to reduce the PAPR of the transmitted signal has been suggested by adding a carefully designed synthetic disturbance signal to the pre-coded signal.