面向下一代无线的分布式多层无人机网络 通信

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摘要翻译：
随着大规模生产高性能、低成本、智能化的无人机越来越具有实用性和可行性，用于无线通信的无人机已迅速发展成为研究热点。与此同时，第五代(5G)无线通信正在标准化并计划在全球部署。在这一过程中，无人机逐渐被认为是5G的重要组成部分，并有望在实现5G通信的功能多样性方面发挥关键作用。本文深入研究了主流无人机的设计和最新的无人机无线通信系统，提出了一种具有多层分布式特征的无人机分层体系结构，以方便不同主流无人机顺利融入下一代无线通信网络。此外，我们揭示了关键的综合设计折衷，根据通信和空气动力学原理。利用经验模型和卫星测量数据，对无人机启用5G高频段通信的气象影响进行数值分析。
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英文标题：
《Distributed and Multi-layer UAV Network for the Next-generation Wireless
  Communication》
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作者：
Yiming Huo, Xiaodai Dong, Tao Lu, Wei Xu, Marvin Yuen
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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：
  Unmanned aerial vehicles (UAVs) for wireless communications has rapidly grown into a research hotspot as the mass production of high-performance, low-cost, intelligent UAVs become more practical and feasible. In the meantime, fifth generation (5G) wireless communications is being standardized and planned for deployment globally. During this process, UAVs are gradually being considered as an important part of 5G and expected to play a critical role in enabling more functional diversity for 5G communications. In this article, we conduct an in-depth investigation of mainstream UAV designs and state-of-the-art UAV enabled wireless communication systems.We propose a hierarchical architecture of UAVs with multi-layer and distributed features to facilitate a smooth integration of different mainstream UAVs into the next-generation wireless communication networks. Furthermore, we unveil the critical comprehensive design tradeoffs, in light of both communication and aerodynamic principles. Empirical models and satellite measurement data are used to conduct numerical analysis of the meteorological impacts of UAV enabled, 5G high bands communications.
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PDF链接：
https://arxiv.org/pdf/1805.01534

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关键词：分布式 下一代 无人机 Applications Optimization 分布式 模型 无人机 communications generation