[电气工程与系统科学] 两种新型中继辅助混合FSO/RF的性能比较 通信系统 [推广有奖]

摘要翻译：
本文提出并比较了两种新型的多跳中继辅助混合自由空间光/射频（FSO/RF）通信系统。在这些结构中，RF和FSO链路在每一跳都是并行的，并同时发送数据。这是第一次在多跳混合FSO/RF结构中使用检测转发协议。在第一结构中，在每一跳，选择具有较高信噪比(SNR)的接收信号。而在第二种结构中，在每一跳，接收到的FSO和RF信号被分别检测和转发，选择只在最后一跳进行。考虑负指数大气湍流中的FSO链路和瑞利衰落中的RF链路，首次导出了该结构的中断概率(P_out)和误码率(BER)的闭式表达式。通过MATLAB仿真验证了推导出的表达式。本工作的主要动机是回答这样一个问题：每一跳的选择和最后一跳的选择有多大的差异。结果表明，每跳选择的结构比最后一跳选择的结构具有更好的性能。在不同的目标中断概率下，最后一跳的选择比每一跳的选择消耗约2倍(~3dB)的功率。这两种结构都特别适用于远距离通信。然而，对于在提供通信所需功率方面有问题的应用，建议在每一跳进行选择，代价是更复杂。
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英文标题：
《Performance Comparison of two novel Relay-Assisted Hybrid FSO / RF
  Communication Systems》
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作者：
Mohammad Ali Amirabadi
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  In this manuscript, two novel multi-hop relay-assisted hybrid Free Space Optical / Radio Frequency (FSO / RF) communication systems are presented and compared. In these structures, RF and FSO links, at each hop, are parallel and send data simultaneously. This is the first time that in a multihop hybrid FSO / RF structure, Detect and Forward protocol is used. In the first structure, at each hop, received signals with higher Signal to Noise Ratio (SNR) is selected. But in the second structure, at each hop, received FSO and RF signals are separately detected and forwarded and selection is done only at the last hop. Considering FSO link in Negative Exponential atmospheric turbulence and RF link in Rayleigh fading, for the first time, closed-form expressions are derived for Outage Probability (P_out) and Bit Error Rate (BER) of the proposed structures. MATLAB simulations are provided to verify derived expressions. The main motivation of this work is to answer this question that how much is the difference of selection at each hop and selection at the last hop. Results indicate that the structure with selection at each hop has better performance than the structure with selection at the last hop. At different target Outage Probability, selection at the last hop consumes about two times (~3dB) more power than selection at each hop. Both structures are particularly suitable for long-range communications. However, selection at each hop, in the cost of more complexity, is recommended for applications which have problem with supplying the required power for communication.
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PDF链接：
https://arxiv.org/pdf/1802.07335