Noncoherent Backscatter Communications Over Ambient OFDM Signals
Noncoherent Backscatter Communications Over Ambient OFDM Signals
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DOI：
10.1109/tcomm.2019.2899301
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发表时间：
2019-02
影响因子：
8.3
通讯作者：
Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han
中科院分区：
文献类型：
--
作者：
Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han
近年来，环境反向散射的通信已获得了很多兴趣，这是一种在环境背景沟通系统中的技术和绿色通信的承诺。 Wi-Fi和蜂窝网络等旧通信系统产生的频率信号与环境反向散射有关正交频施加（OFDM）信号。我们研究探测器设计并分析提出的方案的错误性能。二进制案例，而对于$ m $ y -ary案件，我们使用蒙特 - 卡洛模拟来证实我们的分析，并调查改变OFDM符号大小，最大通道延迟扩散和数字的效果我们的数值结果接收天线。不同的情况。
In recent years, ambient backscatter communications have gained a lot of interests as a promising enabling technology for the Internet-of-Things and green communications. In ambient backscatter communication systems, ultra-low power devices are able to transmit information by backscattering ambient radio-frequency signals generated by legacy communication systems such as Wi-Fi and cellular networks. This paper is concerned with ambient backscatter communications over legacy orthogonal frequency division multiplexing (OFDM) signals. We propose a backscatter modulation scheme that allows backscattering devices to take advantage of the spectrum structure of ambient OFDM symbols to transmit information. The proposed modulation scheme allows both binary and higher-order modulation using noncoherent energy detection. We investigate the detector design and analyze the error performance of the proposed scheme. We provide an exact expression for the error probability for the binary case, whereas accurate approximate expressions for the error probability are derived for the $M$ -ary case. We corroborate our analysis using Monte–Carlo simulation and investigate the effects of varying the OFDM symbol size, maximum channel delay spread, and the number of receive antennas on the error performance. Our numerical results show that the proposed technique outperforms other techniques available in this paper for backscatter communication over ambient OFDM signals in different scenarios.