A Novel Iterative-SLM Algorithm for PAPR Reduction in 5G Mobile Fronthaul Architecture

Abstract

One of the main drawbacks of orthogonal frequency division multiplexing (OFDM) is the unpredictable significant increase in the peak-to-average power ratio (PAPR), due to the large dynamic range of the OFDM symbol waveforms. To overcome this problem, we propose a novel PAPR reduction technique in the transmitter DSP of a fiber mobile fronthaul network, named as iterative selective mapping (I-SLM). The proposed algorithm uses orthogonal phase vectors construction. Several alternative sets of the OFDM symbol are iteratively generated by deterministic sets of orthogonal phase vectors and the one which introduces the lowest peak power value is considered for transmission. Simulation results demonstrate a substantial PAPR reduction, comparing to the partial orthogonal selective mapping (POSLM), especially when the number of iterations increases in the presence of different variables, such as the number of OFDM subcarriers/frame and the modulation order.