PAPR MINIMIZATION THROUGH SPATIO-TEMPORAL SYMBOL-LEVEL PRECODING FOR THE NON-LINEAR MULTI-USER MISO CHANNEL

被引:0
作者
Spano, Danilo [1 ]
Alodeh, Maha [1 ]
Chatzinotas, Symeon [1 ]
Ottersten, Bjorn [1 ]
机构
[1] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust SnT, Luxembourg, Luxembourg
来源
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年
基金
欧盟地平线“2020”; 英国工程与自然科学研究理事会;
关键词
Symbol-level precoding; Multi-user MISO; PAPR; Non-linear channel; DOWNLINK; INTERFERENCE; POWER;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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.
引用
收藏
页码:3599 / 3603
页数:5
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