Papr Minimization Through Spatio-Temporal Symbol-Level Precoding for the Non-Linear Multi-User MISO Channel
Danilo Spano, Maha Alodeh, Symeon Chatzinotas, Björn E. Ottersten
Abstract
Symbol-level precoding (SLP) is a promising technique which allows to constructively exploit the multi-user interference in the downlink of multiple antenna systems. Recently, this approach has also been used in the context of non-linear systems for reducing the instantaneous power imbalances among the antennas. However, previous works have not exploited SLP to improve the dynamic properties of the waveforms in the temporal dimension, which are fundamental for non-linear systems. To fill this gap, this paper proposes a novel precoding method, referred to as spatio-temporal SLP, which minimizes the peak-to-average power ratio of the transmitted waveforms both in the spatial and in the temporal dimensions, while at the same time exploiting the constructive interference effect. Numerical results are presented to highlight the enhanced performance of the proposed scheme with respect to state of the art SLP techniques, in terms of power distribution and symbol error rate over non-linear channels.
BibTeX
@inproceedings{icassp2018_paprminimization,
title = {Papr Minimization Through Spatio-Temporal Symbol-Level Precoding for the Non-Linear Multi-User MISO Channel},
author = {Danilo Spano and Maha Alodeh and Symeon Chatzinotas and Björn E. Ottersten},
booktitle = {ICASSP 2018},
year = {2018}
}