A New Analytic Approach to Reduce PAPR in Short-frame OFDM Sensors' Network

Many schemes are commonly employed to reduce the Peak-to-Average Power Ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. However, they add complexity by the several inverse fast Fourier transform (IFFT) block iterations which are not possible in the case of short frame OFDM systems. In this paper, we focus on a new analytic approach with low-complexity techniques reducing the peak of the IFFT signal. Among all the cases of modulations, there are a large number of cases called worst peak cases where the energy of the IFFT signal is concentrated on a few samples and producing a peak amplitude corresponding to high PAPR. Our proposed approach is based on the identification of these worst peak cases in order to eliminate them analytically instead of using complex iterative algorithms. We show that our proposed algorithm based on our analytic approach detect when the worst peak cases cause high PAPR, and correct efficiently the peak value.