DNN-based Phase Noise Compensation for Sub-THz Communications

被引：0
|
作者：
Park, Hyeong Sook [1 ]
Choi, Eun-Young [1 ]
Song, Young Seog [1 ]
Noh, Song [2 ]
Seo, Kyungsik [2 ]
机构：
[1] Elect & Telecommun Res Inst, Future Mobile Commun Res Div, Daejeon, South Korea
[2] Incheon Natl Univ, Dept Informat & Telecommun Engn, Incheon, South Korea
来源：
11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020) | 2020年
关键词：
Sub-TeraHertz communication; phase noise; deep neural network; OFDM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new method is presented for phase noise (PN) compensation in sub-TeraHertz (THz) orthogonal frequency division multiplexing (OFDM) systems. To suppress the higher PN encountered at the sub-THz spectrum bands, a deep neural network (DNN)-based PN compensation framework is proposed. Exploiting the signal under PN impairment and the channel estimate at the receiver, the proposed DNN framework makes hard decisions with respect to each data subcarrier. Numerical results show the effectiveness of the proposed framework.
引用
收藏
页码：866 / 868
页数：3
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