RBF neural network based SLM peak-to-average power ratio reduction in OFDM systems

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Abstract

One of the major disadvantages of the orthogonal frequency division multiplexing system is high peak-to-average power ratio (PAPR). Selected mapping (SLM) is an efficient distortionless PAPR reduction scheme which selects the minimum PAPR sequence from a group of independent phase rotated sequences. However, the SLM requires explicit side information and a large number of IFFT operations. In this letter we investigate a novel PAPR reduction method based on the radial basis fimction network and SLM.

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Sohn, I. (2007). RBF neural network based SLM peak-to-average power ratio reduction in OFDM systems. ETRI Journal, 29(3), 402–404. https://doi.org/10.4218/etrij.07.0206.0155

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