集成毫米波和亚6 GHz无线网络：路线图 用于联合移动宽带和超可靠低时延通信

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摘要翻译：
下一代无线网络必须通过跨越增强移动宽带(eMBB)和超可靠低延迟通信(URLLC)的广泛无线服务来支持新兴技术，如增强现实和互联自动车辆。现有的无线系统仅依赖于稀缺的亚6 GHz微波($mu$W)频段，由于频谱稀缺，将无法满足未来无线业务如此严格的混合业务需求。同时，工作在高频毫米波（mmWave）波段被视为一个有吸引力的解决方案，主要是由于带宽的可用性和大规模多天线通信的可能性。然而，mmWave通信由于其易受阻塞、高路径损耗和信道不确定性的影响而固有的不可靠。因此，为了提供URLLC和高速无线接入，需要将$\mu$W网络的可靠性与mmWave网络的高容量无缝集成。为此，本文介绍了\emph{integrated MMWave-$\mu$w}通信的第一个全面教程。这一设想中的集成设计将使无线网络通过利用两个世界的最佳优势实现URLLC和eMBB：在$\mu$W频段的可靠远程通信和在mmWave频率的定向高速通信。为了实现这一目标，讨论了关键的解决方案概念，包括无线接口的新体系结构、URLLC感知的帧结构和资源分配方法以及移动性管理，以实现集成MMWave-$\MU$W通信的潜力。讨论了每个方案的机遇和挑战，并给出了关键结果，以显示所开发的集成MMWave-$\MU$W框架的优点。
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英文标题：
《Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap
  for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications》
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作者：
Omid Semiari, Walid Saad, Mehdi Bennis, and Merouane Debbah
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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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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：Computer Science        计算机科学
二级分类：Networking and Internet Architecture        网络和因特网体系结构
分类描述：Covers all aspects of computer communication networks, including network architecture and design, network protocols, and internetwork standards (like TCP/IP). Also includes topics, such as web caching, that are directly relevant to Internet architecture and performance. Roughly includes all of ACM Subject Class C.2 except C.2.4, which is more likely to have Distributed, Parallel, and Cluster Computing as the primary subject area.
涵盖计算机通信网络的所有方面，包括网络体系结构和设计、网络协议和网络间标准（如TCP/IP）。还包括与Internet体系结构和性能直接相关的主题，如web缓存。大致包括除C.2.4以外的所有ACM主题类C.2，后者更有可能将分布式、并行和集群计算作为主要主题领域。
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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：
  Next-generation wireless networks must enable emerging technologies such as augmented reality and connected autonomous vehicles via wide range of wireless services that span enhanced mobile broadband (eMBB), as well as ultra-reliable low-latency communication (URLLC). Existing wireless systems that solely rely on the scarce sub-6 GHz, microwave ($\mu$W) frequency bands will be unable to meet such stringent and mixed service requirements for future wireless services due to spectrum scarcity. Meanwhile, operating at high-frequency millimeter wave (mmWave) bands is seen as an attractive solution, primarily due to the bandwidth availability and possibility of large-scale multi-antenna communication. However, mmWave communication is inherently unreliable due to its susceptibility to blockage, high path loss, and channel uncertainty. Hence, to provide URLLC and high-speed wireless access, it is desirable to seamlessly integrate the reliability of $\mu$W networks with the high capacity of mmWave networks. To this end, in this paper, the first comprehensive tutorial for \emph{integrated mmWave-$\mu$W} communications is introduced. This envisioned integrated design will enable wireless networks to achieve URLLC along with eMBB by leveraging the best of two worlds: reliable, long-range communications at the $\mu$W bands and directional high-speed communications at the mmWave frequencies. To achieve this goal, key solution concepts are discussed that include new architectures for the radio interface, URLLC-aware frame structure and resource allocation methods along with mobility management, to realize the potential of integrated mmWave-$\mu$W communications. The opportunities and challenges of each proposed scheme are discussed and key results are presented to show the merits of the developed integrated mmWave-$\mu$W framework.
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PDF链接：
https://arxiv.org/pdf/1802.03837

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关键词：无线网络 移动宽带 无线网 路线图 毫米波 可靠 eMBB 无线网络 天线 移动