无线信息与功率传输的基础：从射频能量 收割机模型信号与系统设计

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摘要翻译：
无线电波同时携带能量和信息。然而，这些量的射频(RF)传输传统上是分开处理的。目前，我们正在经历无线网络设计的范式转变，即统一信息和功率的无线传输，以充分利用射频频谱和辐射以及网络基础设施，实现通信和供电的双重目的。本文通过建立无线信息和电力传输(WIPT)的信号理论和设计，以及确定无线传输信息和电力之间的基本折衷，回顾和讨论了为设想的双重用途网络奠定基础的最新进展。我们首先概述WIPT的挑战和技术，即同步无线信息和功率传输(SWIPT)、无线供电通信网络(WPCN)和无线供电后向散射通信(WPBC)。然后，我们描述了能量收割机的特性，并展示了WIPT信号和系统设计是如何围绕潜在的能量收割机模型进行的。为此，我们着重介绍了三种不同的能量收集器模型，即一种线性模型和两种非线性模型，并说明了在单用户和多用户部署中，它们各自的WIPT设计有何不同。讨论的主题包括速率-能量区域特性、发射机和接收机结构、波形设计、调制、波束形成和输入分布优化、资源分配和RF频谱使用。通过电路仿真、样机和实验，讨论并验证了不同能量采集器模型的有效性以及由此产生的信号理论和设计。我们还指出了许多未来研究的方向。
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英文标题：
《Fundamentals of Wireless Information and Power Transfer: From RF Energy
  Harvester Models to Signal and System Designs》
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作者：
Bruno Clerckx, Rui Zhang, Robert Schober, Derrick Wing Kwan Ng, Dong
  In Kim, and H. Vincent Poor
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最新提交年份：
2018
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Information Theory        信息论
分类描述：Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料，并与H.1.1有交集。
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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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一级分类：Mathematics        数学
二级分类：Information Theory        信息论
分类描述：math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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英文摘要：
  Radio waves carry both energy and information simultaneously. Nevertheless, Radio-Frequency (RF) transmission of these quantities have traditionally been treated separately. Currently, we are experiencing a paradigm shift in wireless network design, namely unifying wireless transmission of information and power so as to make the best use of the RF spectrum and radiations as well as the network infrastructure for the dual purpose of communicating and energizing. In this paper, we review and discuss recent progress on laying the foundations of the envisioned dual purpose networks by establishing a signal theory and design for Wireless Information and Power Transmission (WIPT) and identifying the fundamental tradeoff between conveying information and power wirelessly. We start with an overview of WIPT challenges and technologies, namely Simultaneous Wireless Information and Power Transfer (SWIPT),Wirelessly Powered Communication Network (WPCN), and Wirelessly Powered Backscatter Communication (WPBC). We then characterize energy harvesters and show how WIPT signal and system designs crucially revolve around the underlying energy harvester model. To that end, we highlight three different energy harvester models, namely one linear model and two nonlinear models, and show how WIPT designs differ for each of them in single-user and multi-user deployments. Topics discussed include rate-energy region characterization, transmitter and receiver architecture, waveform design, modulation, beamforming and input distribution optimizations, resource allocation, and RF spectrum use. We discuss and check the validity of the different energy harvester models and the resulting signal theory and design based on circuit simulations, prototyping and experimentation. We also point out numerous directions that are promising for future research.
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PDF链接：
https://arxiv.org/pdf/1803.07123

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关键词：信号与系统 系统设计 收割机 Applications Transmission Wireless 模型 design 讨论 信息