SLM-Based PAPR Reduction in OFDM System Using Four Distinct Matrices

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) has been extensively used in contemporary wireless communications because of its high spectral efficiency. However, high peak to average power ratio (PAPR), which increases system complexity in OFDM. Selected mapping (SLM) - based methods are promising solutions to reduce the high PAPR in OFDM signals. In SLM, phase sequences are used to generate alternative signals from the input sequence. Then, the signal with low PAPR is selected for transmission. In the present work, four distinct matrices, such as the Parter matrix, Lotkin matrix, Lehmer matrix, and Riemann matrix are employed in conventional SLM techniques. These matrices generate alternative signals from the input data sequence. Then, PAPR of all modified signals is computed, and the signal, exhibiting low PAPR is transmitted. The proposed method achieved 9 dB of PAPR reduction gain over the conventional SLM method. The performance of the present work was evaluated using the complimentary cumulative distribution function (CCDF), and the results confirm that the PAPR reduction performance outperformed existing methods.