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Cooperative Ambient Backscatter Communications for Green Internet-of-Things

机译:绿色合作环境反向散射通信   物联网

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摘要

Ambient backscatter communication (AmBC) enables a passive backscatter deviceto transmit information to a reader using ambient RF signals, and has emergedas a promising solution to green Internet-of-Things (IoT). Conventional AmBCreceivers are interested in recovering the information from the ambientbackscatter device (A-BD) only. In this paper, we propose a cooperative AmBC(CABC) system in which the reader recovers information not only from the A-BD,but also from the RF source. We first establish the system model for the CABCsystem from spread spectrum and spectrum sharing perspectives. Then, for flatfading channels, we derive the optimal maximum-likelihood (ML) detector,suboptimal linear detectors as well as successive interference-cancellation(SIC) based detectors. For frequency-selective fading channels, the systemmodel for the CABC system over ambient orthogonal frequency divisionmultiplexing (OFDM) carriers is proposed, upon which a low-complexity optimalML detector is derived. For both kinds of channels, the bit-error-rate (BER)expressions for the proposed detectors are derived in closed forms. Finally,extensive numerical results have shown that, when the A-BD signal and theRF-source signal have equal symbol period, the proposed SIC-based detectors canachieve near-ML detection performance for typical application scenarios, andwhen the A-BD symbol period is longer than the RF-source symbol period, theexistence of backscattered signal in the CABC system can enhance the MLdetection performance of the RF-source signal, thanks to the beneficial effectof the backscatter link when the A-BD transmits at a lower rate than the RFsource.
机译:环境背向散射通信(AmBC)使无源背向散射设备能够使用环境RF信号将信息传输到读取器,并且已经成为绿色物联网(IoT)的有希望的解决方案。常规AmBC接收器仅对从环境后向散射设备(A-BD)恢复信息感兴趣。在本文中,我们提出了一种协作式AmBC(CABC)系统,在该系统中,读取器不仅可以从A-BD中恢复信息,还可以从RF源中恢复信息。我们首先从扩频和频谱共享的角度建立CABCsystem的系统模型。然后,对于平坦衰落信道,我们推导了最佳最大似然(ML)检测器,次优线性检测器以及基于连续干扰消除(SIC)的检测器。针对频率选择性衰落信道,提出了环境正交频分复用(OFDM)载波上CABC系统的系统模型,并由此推导了低复杂度最优ML检测器。对于这两种通道,建议的检测器的误码率(BER)表达式均以封闭形式导出。最后,大量的数值结果表明,当A-BD信号和RF源信号具有相同的符号周期时,基于SIC的检测器对于典型的应用场景以及当A-BD符号周期为比RF源符号周期更长的时间,CABC系统中反向散射信号的存在可以增强RF源信号的ML检测性能,这归功于当A-BD传输速率低于RFsource时反向散射链路的有益作用。

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