PAPR Reduction of OFDM System Through Iterative Selection of Input Sequences

TL;DR

This paper proposes an iterative sequence selection method for reducing PAPR in OFDM systems, demonstrating significant improvements over existing techniques like SLM, with a trade-off in increased computational complexity.

Contribution

Introduces a novel PAPR reduction scheme based on selecting the lowest PAPR sequence from modified data sequences, outperforming existing methods.

Findings

Significant PAPR reduction achieved compared to traditional methods.

Higher throughput with acceptable computational complexity increase.

Performance comparison favoring the proposed method over SLM.

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) based multi-carrier systems can support high data rate wireless transmission without the requirement of any extensive equalization and yet offer excellent immunity against fading and inter-symbol interference. But one of the major drawbacks of these systems is the large Peak-to-Average Power Ratio (PAPR) of the transmit signal which renders a straightforward implementation costly and inefficient. In this paper, a new PAPR reduction scheme is introduced where a number of sequences from the original data sequence is generated by changing the position of each symbol and the sequence with lowest PAPR is selected for transmission. A comparison of performance of this proposed technique with an existing PAPR reduction scheme, i.e., the Selective Mapping (SLM) is performed. It is shown that considerable reduction in PAPR along with higher throughput can be achieved at the expense of some additional computational complexity.