【百家大讲堂】第95期：云端互联网：实现“空对空”传输技术
讲座题目：云端互联网：实现“空对空”传输技术
Realizing Internet above the Cloud: An Enabling Air-to-Air Transmission Technique
主 讲 人：陈生
英国皇家工程院院士、英国南安普顿大学电子与计算机科学学院教授、英国工程技术学会会士、美国电子电气工程师协会会士
时 间：2018年9月12日 16：00
地 点：中关村校区 信息科学实验楼205
主办单位：研究生院、前沿交叉科学研究院、信息与电子学院
报名方式：扫描下方二维码
【主讲人简介】
陈生，英国南安普顿大学电子与计算机科学学院智能系统与信号处理学科教授，1986年于英国伦敦城市大学获得博士学位。在1986年至1999年间，曾在英国谢菲尔德大学、英国爱丁堡大学与英国朴茨茅斯大学担任各种研究和学术职务。1999年加入英国南安普顿大学电子与计算机科学学院。2005年，陈生被南安普敦大学授予科学博士学位（Higher doctoral degree, DSc）并于同年升任教授。陈生教授是英国皇家工程院院士、英国工程技术学会会士、美国电子电气工程师协会会士。2004年3月，陈生被美国科学信息研究所评为工程领域超高引用科学家。在当时，全球范围内仅有不足200位工程领域超高引用科学家。
陈生教授在智能学习系统理论、自适应信号处理理论领域做出了举世瞩目的原创性研究贡献，并将这些理论应用在非线性系统建模控制、信号处理、智能系统和智能控制、人工神经元网络、走动和攀登机器人、无线通信等工程领域，取得了开创性的成就。陈生教授因在高影响力的学术期刊发表的大量高质量原创性学术成果而享誉全球。陈生教授的许多学术论文具有深远的影响力并被广泛引用。迄今为止，陈生教授拥有超过12000的Web of Science引用和超过25800的谷歌学术引用。
陈生教授入选为英国皇家工程院院士的嘉奖理由为：在智能学习系统理论、自适应信号处理理论以及这些理论在机器人技术、医学、航天与国防和移动通信等领域的广泛应用做出的杰出性研究成果和国际先驱性贡献。陈生教授提出的一系列智能学习算法研究成果在工程领域已获得超高引用，相关论文也成为对应领域中具有开创性工作的顶级论文。
Sheng Chen is Professor in Intelligent Systems and Signal Processing at Southampton Wireless Group, School of Electronics and Computer Science, University of Southampton. He is a Fellow of the United Kingdom Royal Academy of Engineering, a fellow of IEEE and a fellow of IET. He is an ISI most highly cited researcher in engineering (March 2004). In 2004, there were less than 200 ISI most highly cited researchers in engineering worldwide.
He received the BEng degree from East China Petroleum Institute, China, in January 1982, and the PhD degree from City University, London, in September 1986, both in control engineering. In 2005, he was awarded the higher doctoral degree, Doctor of Science (DSC), by the University of Southampton.
From October 1986 to August 1999, he held various research and academic posts with University of Sheffield, University of Edinburgh and University of Portsmouth, all in UK. Since September, 1999, he has been with School of Electronics and Computer Science, University of Southampton.
Professor Chen has made world leading original research contributions to the fields of intelligent learning systems and adaptive signal processing as well as in their applications to nonlinear system modelling, control and wireless communications. He is internationally renowned for his exceptionally large number of high-quality original publications in high-impact academic journals. Many of his research papers are influential and widely cited. Currently, he has over 12000 Web of Sciences citations and over 25800 Google Scholar citations.
His United Kingdom Royal Academy of Engineering Fellow citation reads: for outstanding and world leading research in intelligent learning systems and adaptive signal processing together with their widespread applications to robotics, medicine, space & defence and mobile communications. The intelligent learning algorithms he has developed are among the most highly cited and significant publications in the engineering literature.
【讲座摘要】
随着无线通信网络技术的快速发展，我们梦想着在未来“将地面移动网络扩展到天空”。构建航空点对点（ad hoc）网络以实现“云端互联网”是未来通信网络的进化趋势之一。然而，现有的用于航空通信的物理层传输技术不能支持云端互联网这种高吞吐量应用。本次报告将介绍由陈生教授团队最新提出的一种基于大规模MIMO辅助的自适应编码/调制的物理层传输方案，该方案能够提供足够高的吞吐量，以支持空对空传输，从而帮助实现云端互联网。值得关注的是，云端互联网实现还有许多未知的挑战和机遇等待研究人员的发掘，特别是在如何构建可靠的高层协议以实现航空自组织网络方面。
We have been dreaming of “extending terrestrial mobile network to sky”, more specifically, constructing aeronautical ad hoc network for realizing “Internet above the Cloud”. Existing physical-layer transmission techniques for aeronautical communications are incapable of supporting this high-throughput application. In this talk, we present our newly proposed massive MIMO assisted adaptive coding and modulation based physical-layer transmission scheme, which is capable of offering sufficiently high throughput to support air-to-air transmission for realizing “Internet above the Cloud”. Many challenges remain, particularly, on how to construct reliable higher-layer protocols for enabling aeronautical ad hoc networking to realize the dream of “Internet above the Cloud”.