講座題目：云端互聯網：實現“空對空”傳輸技術

                            Realizing Internet above the Cloud: An Enabling Air-to-Air Transmission Technique

　　主 講 人：陳生

         英國皇家工程院院士、英國南安普頓大學電子與計算機科學學院教授、英國工程技術學會會士、美國電子電氣工程師協會會士

　　時   間：2018年9月12日 16：00

　　地   點：中關村校區 信息科學實驗樓205

　　主辦單位：研究生院、前沿交叉科學研究院、信息與電子學院

　　報名方式：掃描下方二維碼

　【主講人簡介】

  陳生，英國南安普頓大學電子與計算機科學學院智能系統與信號處理學科教授，1986年于英國倫敦城市大學獲得博士學位。在1986年至1999年間，曾在英國謝菲爾德大學、英國愛丁堡大學與英國樸茨茅斯大學擔任各種研究和學術職務。1999年加入英國南安普頓大學電子與計算機科學學院。2005年，陳生被南安普敦大學授予科學博士學位（Higher doctoral degree, DSc）并于同年升任教授。陳生教授是英國皇家工程院院士、英國工程技術學會會士、美國電子電氣工程師協會會士。2004年3月，陳生被美國科學信息研究所評為工程領域超高引用科學家。在當時，全球范圍內僅有不足200位工程領域超高引用科學家。
  陳生教授在智能學習系統理論、自適應信號處理理論領域做出了舉世矚目的原創性研究貢獻，并將這些理論應用在非線性系統建模控制、信號處理、智能系統和智能控制、人工神經元網絡、走動和攀登機器人、無線通信等工程領域，取得了開創性的成就。陳生教授因在高影響力的學術期刊發表的大量高質量原創性學術成果而享譽全球。陳生教授的許多學術論文具有深遠的影響力并被廣泛引用。迄今為止，陳生教授擁有超過12000的Web of Science引用和超過25800的谷歌學術引用。
  陳生教授入選為英國皇家工程院院士的嘉獎理由為：在智能學習系統理論、自適應信號處理理論以及這些理論在機器人技術、醫學、航天與國防和移動通信等領域的廣泛應用做出的杰出性研究成果和國際先驅性貢獻。陳生教授提出的一系列智能學習算法研究成果在工程領域已獲得超高引用，相關論文也成為對應領域中具有開創性工作的頂級論文。 

   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 Shef?eld, 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 ?elds 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 in?uential 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 signi?cant publications in the engineering literature.

【講座摘要】

       隨著無線通信網絡技術的快速發展，我們夢想著在未來“將地面移動網絡擴展到天空”。構建航空點對點（ad hoc）網絡以實現“云端互聯網”是未來通信網絡的進化趨勢之一。然而，現有的用于航空通信的物理層傳輸技術不能支持云端互聯網這種高吞吐量應用。本次報告將介紹由陳生教授團隊最新提出的一種基于大規模MIMO輔助的自適應編碼/調制的物理層傳輸方案，該方案能夠提供足夠高的吞吐量，以支持空對空傳輸，從而幫助實現云端互聯網。值得關注的是，云端互聯網實現還有許多未知的挑戰和機遇等待研究人員的發掘，特別是在如何構建可靠的高層協議以實現航空自組織網絡方面。

   We have been dreaming of “extending terrestrial mobile network to sky”, more speci?cally, 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 suf?ciently 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”.