PAPR Reduction in SLM Scheme using Exhaustive Search Method

ABSTRACT

Orthogonal Frequency Division Multiplexing (OFDM) is a gifted scheme to accomplish high data transmission for high speed communication systems. Consequently, it is treated as a strong candidate for forthcoming wireless applications. Nevertheless, the foremost drawback of OFDM signal is high Peak to Average Power Ratio (PAPR), which degrades the performance of the primary resources of the communication system. Selective Mapping (SLM) technique is the most familiar to condense the PAPR. However, conventional SLM technique requires many Inverse Fast Fourier Transforms (IFFTs), which surges the computational complexity. Moreover, conventional SLM requires side information, which raises the transmitting power as well as error rate. In this paper, we proposed a novel SLM scheme using exhaustive search method to enhance the PAPR reduction performance, which requires only one IFFT and no side information. In our work (8, 4) extended Hamming code is employed as single error correcting code. The PAPR performance of the exhaustive search SLM and conventional SLM is compared for all possible combination of (8, 4) extended Hamming codes. Numerical results confirmation that the PAPR reduction performance of exhaustive search SLM is superior to that of the conventional SLM.

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Updated: June 26, 2023 — 2:36 am