An Improved GreenOFDM Scheme for PAPR Reduction

Jorge Luis Gulfo Monsalve (1) , Laurent Ros (1) , Jean-Marc Brossier (1) , Denis Mestdagh (2)

1 GIPSA-GAIA - GIPSA Pôle Géométrie, Apprentissage, Information et Algorithmes
2 GreenWaves Technologies [Villars-Bonnot, FR]

This paper proposes an improvement to a recent Peak-to-Average-Power-Ratio (PAPR) reduction technique for Orthogonal Frequency Division Multiplexing (OFDM), the GreenOFDM. This technique, which is inspired by SeLected Mapping (SLM), generates several waveform candidates using a given number of Inverse Fast Fourier Transforms (IFFT), and selects the one with the lowest PAPR for the transmission of the OFDM symbol. For U IFFTs, GreenOFDM provides better PAPR reduction capabilities than SLM-OFDM as it increases the number of waveform candidates from U (for SLM-OFDM) to U 2 /4. In this work, we propose an extension of the GreenOFDM that further increases the number of waveform candidates by a factor 4 (from U 2 /4 to U 2), or equivalently reduces by a factor of 2 the number of IFFTs for a same PAPR performance. Compared to SLM-OFDM, the improved GreenOFDM technique reduces the complexity by requiring only the square-root of the number of IFFTs for a same PAPR reduction performance. Furthermore, exiting methods for additional complexity reduction are also implemented and discussed.

Mots clés: OFDM; PAPR; Selected Mapping; GreenOFDM

Domaines: Traitement du signal et de l'image [eess.SP]

Jorge Luis Gulfo Monsalve, Laurent Ros, Jean-Marc Brossier, Denis Mestdagh. An Improved GreenOFDM Scheme for PAPR Reduction. Telecom, 2020, 1 (3), pp.196-210. ⟨10.3390/telecom1030014⟩. ⟨hal-02548839v2⟩