Topic: Intelligent Radio Technology
Speaker: Asscociate Professor Lin Yun, Harbin Engineering University
Date: Thursday, Dec. 5, 2019
Time: 9:30 am
Venue: Room 124, Naihai Building

Abstract: Intelligent radio is a new concept of electromagnetic spectrum countermeasure based on the cognitive and network process of software radio technology accociating with artificial intelligence and adaptive technology. Its core technologies include flexible terminal reconstruction, machine learning and behavior modeling. It is a cutting-edge research that applies to achieve accurate situational awareness to the complex electromagnetic environment of radio (radio station, jammer, radar, etc.) and deal with the reliability, imperceptibility and survivability to real-time and effective countermeasures against new cognitive system as well as enhancing system. Intelligent radio technology research center, a key laboratory of advanced marine communication and information technology of the Ministry of Industry and Information Technology, has been engaged in the research related to software radio technology since the Ninth Five-Year Plan, breaking through run-time dynamic loading and developing programmable transceiver and other key technologies. China's first software radio system radio station is equipped with a type of destroyer. The center has jointly developed China's first radio-columned destroyer in software radio mechanism with 772 research institute of China State Shipbuilding Co., Ld. Its self-developed broadband reconfigurable integrated universal processing platform is compatible with real-time dynamic loading of waveform functions such as communication, radar, data chain, electronics show and navigation, filling the domestic gap in this field.

Introduction to speaker: Prof. Lin Yun, doctoral supervisor and a member of the IEEE, China Institute of Communications, Chinese Society of Astronautics and Chinese Institute of Command and Control, works on the research of software radio, cognitive radio and intelligent information countermeasure. He has participated in the research and development of the leading software radio general development platform with independent intellectual property rights, mainly engaged in the research of software radio architecture, hybrid intelligent dynamic spectrum access, intelligent signal analysis and intelligent decision-making methods. He has published more than 50 academic papers and 20 SCI retrieval papers, authored one textbook and got 11 authorizations. Lin also won two third prizes of national defense science and technology progress. At present, as the project leader, he has undertaken 2 projects of innovation special zones of the Commission of Science and Technology of the CMC, 2 projects of the National Natural Science Foundation, 2 projects of National High-tech R&D Program(863 Program), 1 project of Special Construction of Naval Equipment, and other 5 horizontal projects, with a total expenditure of more than 15 million yuan.

Topic two: Multi-Layer Transformed MDS Codes with Optimal Repair Access and Low Sub-Packetization
Speaker: Hanxu Hou, Dongguan University of Technology
Date: December 5, 2019
Time：9:30 am
Venue: Room 124, Nanhai Building

Abstract: An (n, k) maximum distance separable (MDS) code has optimal repair access if the minimum number of symbols accessed from d surviving nodes is achieved, where k+1\le d\le n-1. Existing results show that the sub-packetization \alpha of an (n, k, d) high code rate (i.e., k/n>0.5) MDS code with optimal repair access is at least (d-k+1)^{\lceil\frac{n}{d-k+1}\rceil}. In this paper, we propose a class of multi-layer transformed MDS codes such that the sub-packetization is (d-k+1)^{\lceil\frac{n}{(d-k+1)\eta}\rceil},where \eta=\lfloor\frac{n-k-1}{d-k}\rfloor, and the repair access is optimal for any single node. We show that the sub-packetization of the proposed multi-layer transformed MDS codes is strictly less than the existing known lower bound when \eta=\lfloor\frac{n-k-1}{d-k}\rfloor>1, achieving by restricting the choice of d specific helper nodes in repairing a failed node. We further propose multi-layer transformed EVENODD codes that have optimal repair access for any single node and lower sub-packetization than the existing binary MDS array codes with optimal repair access for any single node. With our multi-layer transformation, we can design new MDS codes that have the properties of low computational complexity, optimal repair access for any single node, and relatively small sub-packetization, all of which are critical for maintaining the reliability of distributed storage systems.

Introduction to speaker: Hanxu Hou received his Bachelor degree of Information Security from Xidian University in 2010 and obtained his PhD degree in Information Engineering from The Chinese University of Hong Kong in 2015 and another PhD degree in Electronic Science and Technology from Peking University in 2016. He is currently the high-level backbone talent in Dongguan University of Technology and the honorary postdoctoral researcher in the Chinese university of Hong Kong. His main research fields include storage coding, network coding, channel coding, etc. In the past five years, he has published more than 40 papers in periodicals(including IEEE TIT, IEEE TCOM, IEEE JSAC, IEEE CL) and academic conferences in the field of information theory and coding. He has published a monograph and applied for more than 20 US invention patents and Chinese invention patents, including 3 US patents and 9 Chinese patents. Part of the coding technology has been applied in the big data project in large communication companies and has been widely used, two Chinese invention patents have been transferred to the big data company. He presided over one National Natural Science Foundation project, and the technical backbones participated in one key project of the Ministry of Science and Technology of 973 and three national natural science fund projects. He won the Best Paper Award of the National Academic Conference on Information Theory in 2017 and 2019 and the Second Prize of Shenzhen Science and Technology Progress in 2018. He has been a reviewer of top international journals IEEE TIT, IEEE TCOM, IEEE / ACM TON, IEEE CL and IEEE ISIT.