At the invitation of Prof. Weixiao Meng and Prof. Shuai Han from IEEE ComSoc Harbin Section, Prof. Kun Yang will give a distinguished lecturer talk online on November 24th, 2020. The detailed information of the lecture is as follows:

Title:

Mobile Edge Computing and Communications from the Sky

Date and Time:

2020/11/24 18:30-21:00

Online Meeting:

Welcome to the online meeting：https://meeting.tencent.com/s/eoYIs6kyTy2D

Meeting ID：414 639 595

Abstract:

With the advancement of UAV (Unmanned Aerial Vehicles) edge computing and communications from the sky become possible and indeed provide an effective way to complement the current ground-based horizontal edge computing and communications. This talk starts with a brief introduction of UAV and UAV-assisted wireless communications, and then moves on to discuss the necessity of a close collaboration of the two important resources in any ICT system, namely, communication and computation, again in the context of UAVs. Some algorithms for joint resource (both computing and communications) allocation and UAV trajectory (flying path) design are introduced and explained with practical considerations. Some explanation as to how a physical problem is turned into a mathematical optimization problem is given, which is expected to be useful to younger researchers. The talk concludes with discussions on future opportunities in this exciting research area. The talk is easy to follow and is suitable to young researchers who just start their research study and to anybody who is interested in mobile edge computing and UAV-enabled communications.

Biography:

Kun Yang received his PhD from the Department of Electronic & Electrical Engineering of University College London (UCL), UK. He is currently a Chair Professor in the School of Computer Science & Electronic Engineering, University of Essex, UK, leading the Network Convergence Laboratory (NCL) and the Communications and Networks Group of Essex. Before joining Essex at 2003, he worked at UCL on several European Union (EU) research projects for several years. He has also been a visiting/affiliated professor at several universities. His main research interests include wireless networks and communications, IoT networking, data and energy integrated networks, mobile edge computing. He has published 300+ technical papers and filed 20+ patents in the above areas. He manages research projects funded by various sources such as UK EPSRC, EU FP7/H2020 and industries. He coordinated one EU FP7 research project. He has been a Judge of GSMA Global Mobile Awards 2019 and 2020 (MWC-Barcelona) and a member of UK EPSRC Peer Review College for many years. He serves on the editorial boards of a number of IEEE journals. He has been actively organizing international conferences/symposia/workshops.

IEEE Harbin ComSoc Chapter Advanced Communications Technologies Forum 2019

At the invitation of Prof. Qiyue Yu (IEEE Senior Member), Prof. Fumiyuki Adachi (IEEE Fellow,IEICE Fellow), an internationally renowned wireless communications expert from Northeast University of Japan, visits IEEE Harbin ComSoc Chapter from August 8th to August 11th, 2019. The detailed information of the lectures are as follows:

Title 1：

Enhancing 5G Radio Access Networks by Exploitation of Spatially Distributed Antennas and Users

Date and Time:

9:30-11:00, Aug 9th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

The 5^th generation (5G) mobile communication services are now about to start. In 5G systems, a significant improvement in the spectrum efficiency is demanded. The distributed MIMO is promising for improving the spectrum efficiency of radio access network (RAN). A number of antennas are spatially distributed in a base station (BS)-cell area. Some antennas near a user is selected for cooperative signal transmission and the same radio resource is simultaneously reused within BS-cell area. User clustering with antenna selection beyond the user cluster border can effectively reduce the intra-cell interference. Adjacent BSs are loosely coordinated to improve the scalability of RAN. As a result, the inter-cell interference (ICI) is produced. The ICI coordination based on the fractional frequency reuse (FFR) is applied for cell-edge users. The link capacity evaluation by computer simulation of distributed MIMO RAN with cooperative signal transmission, user clustering, and ICI coordination is presented.

Title 2：

Decentralized Radio Resource Management for Dense Heterogeneous Wireless Networks

Date and Time:

14:00-15:30, Aug 9th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

Due to the limited available bandwidth, the spectrum-efficiency was the most important concern for the last few decades. Also, the available energy, in particular, for battery operated user equipments (UEs), is limited. Therefore, the spectrum and energy-efficiencies will remain an eternal concern for mobile communication networks. One promising solution to improve both the spectrumy and energy-efficiencies is to introduce the small-cell structured network. However, wide range of UE mobility is problematic and causes frequent handover. Furthermore, UE density is not necessarily high everywhere. Recently, the heterogeneous wireless networks (HetNets) are attracting a lot of attention. In dense HetNets, a number of small base stations (SBSs) are deployed in the area of a macro BS (MBS). Decentralized management of limited radio resources is attractive to achieve flexible deployment of a number of SBSs and higher scalability of HetNets. In this presentation, we introduce decentralized SBS power on/off and decentralized dynamic channel assignment and their impacts on network power consumption, throughput, and handover (HO).

Biography:

International Conference on Artificial Intelligence for Communications and Networks 2019: Invited Talk

Sponsored by Prof. Qing Guo, Weixiao Meng, Xuemai Gu, Xuejun Sha and Honglin Zhao, organized by HIT SEIE, with the co-financing of HIT Engineering and International Cooperation, as well as under the joint support of IEEE ComSoc Harbin Chapter and IEEE VTS Harbin Chapter, series activities of spring academic month and International Conference on Artificial Intelligence for Communications and Networks will officially start on 25th May 2019, at Sofitel Hotel, Harbin. At that time, Prof. Jinhong Yuan, Ekram Hossain, Guoqiang Mao, Byonghyo Shim, and other IEEE Fellow professors, will provide excellent reports and warm discussions. Welcome all the experts, scholars, teachers and students!

Speakers

Jinhong Yuan (M’02–SM’11–F’16) received the B.E. and Ph.D. degrees in electronics engineering from the Beijing Institute of Technology, Beijing, China, in 1991 and 1997, respectively. He has published two books, five book chapters, over 300 papers in telecommunications journals and conference proceedings, and 50 industrial reports. He is a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check codes.He has co-authored four Best Paper Awards and one Best Poster Award, including the Best Paper Award from the IEEE International Conference on Communications, Kansas City, USA, in 2018, the Best Paper Award from IEEE Wireless Communications and Networking Conference, Cancun, Mexico, in 2011, and the Best Paper Award from the   IEEE International Symposium on Wireless Communications Systems, Trondheim, Norway, in 2007. He is an IEEE Fellow and currently serving as an Associate Editor for the IEEE Transactions on Wireless Communications. His current research interests include error control coding and information theory, communication theory, and wireless communications.

Ekram Hossain (F’15) is a Professor in the Department of Electrical and Computer Engineering at University of Manitoba, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada. Also, he is a Fellow of the Canadian Academy of Engineering. Dr. Hossain’s current research interests include design, analysis, and optimization beyond 5G/6G cellular wireless networks. His research works have received 24,000+ citations (in Google Scholar, with h-index = 80). He received the 2017 IEEE ComSoc TCGCC Distinguished Technical Achievement Recognition Award “for outstanding technical leadership and achievement in green wireless communications and networking”. Dr. Hossain has won several research awards including the “2017 IEEE Communications Society Best Survey Paper Award and the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017 and 2018.Currently he serves as the Editor-in-Chief of IEEE Press and an Editor for the IEEE Transactions on Mobile Computing. He is a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. Also, he is an elected member of the Board of Governors of the IEEE Communications Society for the term 2018-2020.

Guoqiang Mao received PhD in telecommunications engineering in 2002 from Edith Cowan University, Australia. He was a Faculty member at the School of Electrical and Information Engineering, the University of Sydney between 2002 and 2014. He joined the University of Technology Sydney in February 2014 as Professor of Wireless Networking and Director of Center for Real-time Information Networks.He has published three books and over 200 papers in international conferences and journals, including over 100 papers in IEEE journals, that have been cited over 7,000 times. He is an editor of the IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and received “Top Editor” award for outstanding contributions to the IEEE Transactions on Vehicular Technology in 2011, 2014 and 2015. He is a co-chair of IEEE Intelligent Transport Systems Society Technical Committee on Communication Networks. He has served as a chair, co-chair and TPC member in a number of international conferences, and has received best paper awards from several leading international conferences. His research interest includes intelligent transportation systems, vehicular networks, Internet of Things, next generation mobile communication systems, and wireless localization techniques. He is a Fellow of IEEE and IET.

Byonghyo Shim received the B.S. and M.S. degree in Control and Instrumentation Engineering (currently Electrical Eng.) from Seoul National University (SNU), Seoul, Korea, in 1995 and 1997 respectively, and the M.S. degree in Mathematics and the Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), Urbana, USA, in 2004 and 2005, respectively.Since September 2014, he has been with the Dept. of Electrical and Computer Engineering, Seoul National University, where he is currently a Professor. His research interests include signal processing for wireless communications, statistical signal processing, estimation and detection, compressed sensing and matrix completion, and information theory. Dr. Shim was the recipient of the M. E. Van Valkenburg Research Award from the ECE Department of the University of Illinois (2005), Hadong Young Engineer Award from IEIE (2010), and Irwin Jacobs Award from Qualcomm and KICS (2016). He is a senior member of IEEE, a technical committee member of Signal Processing for Communications and Networking (SPCOM), an associate editor of IEEE Transactions on Signal Processing (TSP), IEEE Transactions on Communications (TCOM), IEEE Wireless Communications Letters (WCL), Journal of Communications and Networks (JCN), and a guest editor of IEEE Journal of Selected Areas in Communications (location awareness for radios and networks).

Cheng Li received his B. Eng. and M. Eng. degrees from Harbin Institute of Technology, Harbin, P. R. China, in 1992 and 1995, respectively, and his Ph.D. degree in Electrical and Computer Engineering from Memorial University, St. John抯, Canada, in 2004. He is currently a Full Professor at the Faculty of Engineering and Applied Science of Memorial University, St. John抯, Canada. His research interests include mobile ad hoc and wireless sensor networks, wireless communications and mobile computing, switching and routing, and broadband communication networks. He has published over 280 reference articles, including close to 100 journal publications. Many of them appear at the prestigious IEEE journals. He was the recipient of the Best Paper Award at the 2018 International Conference on Ad Hoc Networks (ADHOCNETS’18), Cairns, Australia, Sept. 2018, the 2017 IEEE Global Communications Conference (GLOBECOM’17), Singapore, Dec. 2017, and the 2010 IEEE International Conference on Communications (ICC’10), Cape Town, South Africa, June 2010. He is an editorial board member of Journal of Networks, China Communications, Wireless Communication and Mobile Computing, and an associate editor of Security and Communication Networks. He has served as the general co-chair of WINCOM?9 and WINCOM?7. He has served as technical program committee (TPC) co-chair for the ICNC?0, AICON?9, WiCON’17, IEEE/ACM MSWiM’14, MSWiM’13, IEEE WiMob?1 and QBSC?0. He has served as a co-chair for various technical symposia of many international conferences, including the IEEE GLOBECOM and ICC. He is currently the elected Chair of the IEEE Communication Society Ad Hoc and Sensor Networks Technical Committee. Dr. Li is a registered Professional Engineer (P. Eng.) in Canada and is a member of IEEE Communication Society, Computer Society, Vehicular Technology Society, Ocean Engineering Society.

Professor Zhang Haixia, winner of the National Outstanding Youth Science Foundation, special expert for Taishan scholars. The main research fields are intelligent communication and network, communication big data processing and application, communication signal processing, communication network resource management and optimization, data processing, machine learning, etc., and undertake a number of provincial and ministerial scientific research projects. More than 100 academic papers (more than 40 published by SCI) and 4 academic works were published in internationally renowned journals including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Vehicular Technology, IEEE Communications Letters and IEEE International academic conferences and she has been granted 21 national invention patents. The scientific research achievements have been nominated by the Ministry of Education for the second prize of the National Science and Technology Award (Natural Science Award), the first prize of the Shandong Provincial Science and Technology Progress Award, the second prize of the Shandong Natural Science Award, and the first prize of the Shandong University Scientific Research Achievement Award. In 2010, Shandong Province excellent doctoral thesis Award, International Conference IEEE ICCT’2011,IEEE ICCT’2012,IEEE Smart Data’2016 Best thesis Award and other academic awards of more than 10. Students who are interested in information technology research, such as intelligent communication and network, communication signal processing, communication big data processing and application, are welcome to apply for master’s degree and doctor.

Prof.  Rose Qingyang Hu [S’95, M’98, SM’06] (rosehu@ieee.org) is a full Professor of Electrical and Computer Engineering Department at Utah State University. She received her B.S. degree from University of Science and Technology of China, her M.S. degree from New York University, and her Ph.D. degree from the University of Kansas.Besides 10 years’ academia research experience, Prof. Rose Qingyang Hu also has more than 10 years R&D experience with Nortel, Blackberry and Intel as technical manager, senior research scientist, and senior wireless system architect, actively participating in industrial 3G/4G technology development, standardization, system level simulation and performance evaluation. Her current research interests include next-generation wireless communications, wireless network design and optimization, Internet of Things, Cloud computing/Fog computing, multimedia QoS/QoE, wireless system modeling and performance analysis. She has published over 180 papers in top IEEE journals and conferences and holds over 30 patents in her research areas. Prof. Hu is an IEEE Communications Society Distinguished Lecturer 2015-2018 and recipient of Best Paper Awards from IEEE Globecom 2012, IEEE ICC 2015, IEEE VTC Spring 2016, and IEEE ICC 2016.  She served as TPC Co-Chair for IEEE ICC 2018. She is currently serving on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Communications Magazine, IEEE Wireless Communications Magazine, IEEE Internet of Things Journal.  Prof. Hu is a senior member of IEEE and a member of Phi Kappa Phi Society.

Shui Yu is a Professor of School of Software, University of Technology Sydney, Australia. Dr Yu’s research interest includes Security and Privacy, Networking, Big Data, and Mathematical Modelling. He has published two monographs and edited two books, more than 200 technical papers, including top journals and top conferences, such as IEEE TPDS, TC, TIFS, TMC, TKDE, TETC, ToN, and INFOCOM. Dr Yu initiated the research field of networking for big data in 2013. His h-index is 35. Dr Yu actively serves his research communities in various roles. He is currently serving a number of prestigious editorial boards, including IEEE Communications Surveys and Tutorials (Area Editor), IEEE Communications Magazine (Series Editor). He has served many international conferences as a member of organizing committee, such as publication chair for IEEE Globecom 2015, IEEE INFOCOM 2016 and 2017, and general chair for ACSW 2017. He is a Senior Member of IEEE, a member of AAAS and ACM, and a Distinguished Lecturer of IEEE Communication Society.

Bo Rong is currently a Research Scientist with the Communications Research Center Canada, Ottawa, ON. He has authored and co-authored over 100 technical papers in major journals and conferences on the topic of wireless networking and communications. Many of these publications have theoretical and practical significance to both research community and industry. Dr. Rong is the 1st author of Springer book-“5G Heterogeneous Networks: Self-organizing and Optimization”. He is also one of the key developers and patent holders of next generation digital TV international standard: ATSC 3.0-wireless physical layer. His current research interests include intelligent radio resource management for 5G/6G, smart IoT, etc. Dr. Rong is a member of IEEE Communications Society and IEEE Broadcasting Society. He serves as an Associate Editor of IEEE COMMUNICATIONS LETTERS as well as the Guest Editors of special issues in IEEE COMMUNICATIONS MAGAZINE, IEEE WIRELESS COMMUNICATIONS MAGAZINE, and IEEE INTERNET of THINGS JOURNAL.

Mianxiong Dong received B.S., M.S. and Ph.D. in Computer Science and Engineering from The University of Aizu, Japan. He is currently an Associate Professor in the Department of Information and Electronic Engineering at the Muroran Institute of Technology, Japan. He was a JSPS Research Fellow with School of Computer Science and Engineering, The University of Aizu, Japan and was a visiting scholar with BBCR group at University of Waterloo, Canada supported by JSPS Excellent Young Researcher Overseas Visit Program from April 2010 to August 2011. Dr. Dong was selected as a Foreigner Research Fellow (a total of 3 recipients all over Japan) by NEC C&C Foundation in 2011. His research interests include Wireless Networks, Cloud Computing, and Cyber-physical Systems. He has received best paper awards from IEEE HPCC 2008, IEEE ICESS 2008, ICA3PP 2014, GPC 2015, IEEE DASC 2015, IEEE VTC 2016-Fall, FCST 2017, 2017 IET Communications Premium Award and IEEE ComSoc CSIM Best Conference Paper Award 2018. Dr. Dong serves as an Editor for IEEE Transactions on Green Communications and Networking (TGCN), IEEE Communications Surveys and Tutorials, IEEE Network, IEEE Wireless Communications Letters, IEEE Cloud Computing, IEEE Access, as well as a leading guest editor for ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), IEEE Transactions on Emerging Topics in Computing (TETC), IEEE Transactions on Computational Social Systems (TCSS). He has been serving as the Vice Chair of IEEE Communications Society Asia/Pacific Region Information Services Committee and Meetings and Conference Committee, Leading Symposium Chair of IEEE ICC 2019, Student Travel Grants Chair of IEEE GLOBECOM 2019, and Symposium Chair of IEEE GLOBECOM 2016, 2017. He is the recipient of IEEE TCSC Early Career Award 2016, IEEE SCSTC Outstanding Young Researcher Award 2017, The 12th IEEE ComSoc Asia-Pacific Young Researcher Award 2017, Funai Research Award 2018 and NISTEP Researcher 2018 (one of only 11 people in Japan) in recognition of significant contributions in science and technology. He is currently the Member of Board of Governors and Chair of Student Fellowship Committee of IEEE Vehicular Technology Society, and Treasurer of IEEE ComSoc Japan Joint Sections Chapter.

Harbin Institute of Technology Advanced Communications Technologies Forum 2019

At the invitation of Prof. Han Shuai, vice chair of Harbin ComSoc Chapter, and Prof. Weixiao Meng, chair of Harbin ComSoc Chapter, under the support of high-quality foreign experts project (cultural and teaching) of the State Administration of Foreign Experts, IEEE ComSoc Harbin Chapter and IEEE VTS Harbin Chapter, Prof. Julian Zhishen Cheng of the University of British Columbia will visit Harbin Institute of Technology from May 13rd to May 18th, 2019.

Title 1：

When Free-Space Optical Communications Meets Unmanned Aerial Vehicles

Date and Time:

13:30-15:00, May 14th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

The fifth-generation (5G) wireless network is expected to leap ahead of current wireless technologies by offering a variety of remarkable services, and it will pave the way for new types of data-hungry applications. To reach this milestone, it is necessary to enhance the network capacity through an ultra-dense deployment of low-power and low-cost remote radio heads (RRHs). However, due to the RF spectrum scarcity, the data explosion challenge triggered by such data-rate-hungry services cannot be well addressed by using RF-based networks alone.  Optical fibers have so far been considered as a high capacity solution for establishing front-haul links while network operators have to seek municipal approval for digging up a street to lay its cable. However, because of cell densification as well as the wide deployment of RRHs in 5G, the number of existing fiber links used for a front-haul connection is limited. To cope with these challenges, the idea of employing free space optical (FSO) communication has been recently proposed for establishing back-haul and front-haul links as an alternative easy-to-deploy solution to traditional optical fiber communication. Indeed, recent advances in small-scale unmanned aerial vehicles (UAVs) has opened up new horizons for establishing UAV-FSO links. In this talk, a state-of-the-art literature review on UAV-based FSO communications is provided. Moreover, the technical challenges of establishing UAV-based FSO links as well as the proposed solution to confront such challenges are expressed in details.

Title 2：

80 Years of Research on Sum of Lognormal Random Variables: Recent Breakthroughs and Applications in Wireless Communications

Date and Time:

15:15-16:45, May 14th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

The distribution for the sum of lognormal random variables finds applications in many science and engineering disciplines, and it is particularly important for wireless communication engineers. However, the distribution for the simplistic sum of independent lognormal random variables is analytically intractable, and it is more so for a sum of correlated lognormal random variables with non-identical parameters. In 1934, Wilkinson from Bell Telephone Labs first studied this problem in an unpublished work. Since then, various approximations have been proposed in the literature. All these approximations fail to accurately quantify the left tail (or right tail) behavior of the distribution function of a sum of lognormal random variables. In this talk, in the context of diversity receptions over lognormal fading channels, we first present that the left tail distribution of the sum of independent lognormal random variables can be accurately represented by a Marcum Q-function. The proposed analytical result outperforms all existing well-known sum of lognormal approximations. Using a different approach, we then extend the problem to a sum of correlated and non-identically lognormal random variables, and show that its left-tail distribution can again be represented by another Marcum Q-function. Our study reveals a number of new and surprising engineering insights into the transmission characteristics over the lognormal fading channels. For example, for the dual-branch case, we show that the outage performance of negatively correlated lognormal channels is better than that of independent lognormal channels. We also show that under certain parameter conditions, one of the two lognormal channels can contribute no performance gain to the diversity reception systems. This implies that one link can be discarded without causing asymptotic performance loss. These new findings can guide the communication engineers to design better systems for transmission over the lognormal fading channels.

Title 3：

Multiple Scattering Models for Scattering Based Optical Wireless Communication

Date and Time:

8:30-10:00, May 16th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

Scattering based optical wireless communications, e.g., ultraviolet communication and underwater optical communication, have attracted increasing attention for their valuable military and civil implementations. Multiple scattering effects have to be considered in accurate channel path loss and impulse response estimations. By now, the Monte-Carlo method based channel models are used for modeling the multiple scattering channel in both ultraviolet communication and underwater optical communication. This presentation focuses on a special Monte-Carlo model: the Monte-Carlo integration (MCI) model. We proved the feasibility of obtaining system impulse response function by MCI model for the first time. After analyzing the convergence performance of the MCI model, we proposed an improved MCI model based on the partial importance sampling method (MCI-PIS model). Numerical simulation for the computation efficiency of different Monte-Carlo models suggests that for a three-order scattering case, the computation efficiency of the MCI-PIS model is about 12 times of the original Monte-Carlo integration model based on uniform sampling (MCI-US model) and 5.6 times of the widely used Monte-Carlo simulation (MCS) model for ultraviolet communication, and 10.6 times and 2.12 times of those for the underwater optical communication. The numerical results also suggest that the computation efficiency of the MCI-PIS model can be higher in a higher scattering order communication compared to the MCS model. We provided a new optimizing direction for the improvement of Monte-Carlo channel models for the scattering based optical communications.

Title 4：

How to Write an IEEE Style Paper and Get it Published?

Date and Time:

10:15-11:45, May 16th, 2019

Location：

ROOM 1013, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

Institute of Electrical and Electronics Engineers (IEEE) is world’s largest professional association which is best known, among other engineering disciplines, for its high quality flagship journal and conference publications. For electrical engineering graduate students and researchers, it is increasingly important to publish their research findings in core IEEE journals and conferences. However, most top IEEE journals and conferences typically have acceptance rate at 35% or much less, and it is also rare that a manuscript receives an outright acceptance. In this talk, I will introduce basic elements of an IEEE style paper, and offer some personal tips and strategies on how to improve the odds of acceptance. The goal of this presentation is to provide the proper guidance to the beginning graduate students so that, with some practice, they can write an IEEE style paper with high confidence. These graduate students can then focus more on the technical contributions of their work.

Biography:

Julian Cheng received his B. Eng. degree in electrical engineering from University of Victoria, Victoria, BC, Canada, M.Sc. (Eng.) degree in Mathematics and Engineering from Queen’s University, Kingston, ON, Ph.D. degree in electrical engineering from University of Alberta, Edmonton, AB, Canada. He is currently a Full Professor in the School of Engineering, Faculty of Applied Science, at The University of British Columbia, Okanagan campus in Kelowna, BC, Canada. His current research interests include wireless communication theory, wireless networks, optical wireless communications, and quantum communications. Dr. Cheng has served as a member of technical program committee for many IEEE conferences and workshops. He co-chaired the 12th Canadian Workshop on Information Theory (CWIT 2011) in Kelowna, Canada. In 2012, he chaired the 2012 Wireless Communications in Banff, Canada. Dr. Cheng also chaired the sixth IEEE Optical Wireless Communications Symposium at the 2015 IEEE Global Communications Conference. He now volunteers as an Area Editor for IEEE Transactions on Communications. In the past, he served as an Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Communications Letters, and IEEE Access, and was a past Guest Editor for a special issue of IEEE Journal on Selected Areas in Communications on optical wireless communications. Currently, he serves as the President of the Canadian Society of Information Theory as well as the Secretary of IEEE Radio Communication Technical Committee within the IEEE Communication Society.

School of Electronics and Information Engineering of HIT Advanced Youth Academic Salon 2019

Invited Report：How to do quality research: An old question revisited

Date and Time: 15:00-17:00, March 20th, 2019

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Biography:

Hsiao-Hua Chen, professor in Harbin Institute of Technology, well-known international scholar in wireless communication and networking, has published more than 300 international journal papers, and won over 10 international academic contribution awards. He is also chief editors of several top international  journals, the best doctoral thesis tutor of Chinese Electronic Education Society in 2018.

Harbin Institute of Technology Advanced Communications Technologies Forum 2019

Title：

Understanding Optimization and Generalization in Deep Learning: A Trajectory-based Analysis

Date and Time: 9:00-11:00, January 4th, 2019

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

This presentation will present recent progress on understanding deep neural networks by analyzing the trajectory of the gradient descent algorithm. Using this analysis technique, we are able to explain:

1) Why gradient descent finds a global minimum of the training loss even though the objective function is highly non-convex, and

2) Why a neural network can generalize even the number of parameters in the neural network is more than the number of training data.

Biography:

Simon Shaolei Du , Ph.D Department of Computer Science, Carnegie Mellon University, whose tutors are Prof.  Aarti Singh and Prof. Barnabás Póczos. His research interests include theoretical machine learning and statistical topics such as in-depth learning, matrix decomposition, convex/nonconvex optimization, transfer learning, reinforcement learning, nonparametric statistics, and robust statistics. In 2015, he received a double degree in Electrical Engineering and Computer, Engineering Mathematics and Statistics from the University of California at Berkeley. He is a Berkeley EECS winner, a member of Etta Kappa Nu, and a member of Phi Beta Kappa. As a leading young scholar in international machine learning, he is the 2018 NeurIPS top conference Best paper winner, the 2018 NeurIPS top conference NVIDIA Pioneer Award winner, and 19 computer top conference papers. He has also worked in research labs at Microsoft and Facebook.

Harbin Institute of Technology Advanced Communications Technologies Forum 2018

Title 1： Introduction to Frequency Domain Turbo Equalization and its Applications

Date and Time: 9:00-11:30, September 22, 2018

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

The goal of this lecture is to provide the audience with understanding of “turbo principle”.  To achieve this goal, this lecture will be started with the sliding window soft cancellation minimum mean squared error filtering (SC-MMSE) turbo equalization for single carrier signal transmission over frequency selective fading channels with relatively short memory. Then, this lecture introduces time-domain block-wise processing, and shows that no gains achieved by making modifications from sliding window to block wise processing due to its intractably heavy computational complexity.  Plus, this lecture further modifies the time-domain block wise SC-MMSE turbo equalization to frequency domain (FD SC-MMSE), where it is shown that the required computational complexity is very light and is constant regardless of the channel memory length.

Also, this lecture provides introductory explanations to the extrinsic information transfer (EXIT) chart as a tool for evaluating the efficiency of mutual information exchange. Information theoretic convergence analysis of the FD-SC MMSE turbo equalization, exemplifying the turbo principle, are provided in this lecture Furthermore, the concept of the FD SC-MMSE turbo equalization is applied to multiple input multiple output (MIMO) systems as a reasonable extension of the technique.  It is shown that when analyzing the mutual information exchange for MIMO turbo equalization, multi-dimensional EXIT plane has to be used.  Finally, trends and future prospects of research work towards broadband mobile communication systems are introduced, including turbo equalization of orthogonal frequency division multiplexing (OFDM) and single carrier (SC)-FDMA as well as the technique for eliminating the cyclic prefix (CP) from block-wise processing based FD SC-MMSE turbo equalization.

Title 2： Turbo Equalization and its Information Theoretic Analysis

Date and Time: 18:00-20:30, September 25, 2018

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

A goal of this talk is to provide audience with the knowledge about the relationship between relay systems and the Distributed Coding techniques for correlated sources. To achieve this goal, this lecture is started by the re-enforcement of understanding of turbo principle, especially, frequency-domain soft cancellation minimum mean square error (FD SC-MMSE) based multiple-input multiple-output (MIMO) turbo equalization (This part is provided in Lecture-1). This lecture uses a lot of multi-dimensional extrinsic information transfer (EXIT) analysis to reveal the convergence properties of the FD SC-MMSE MIMO equalization, and identifies the optimal, close capacity achieving structure. It is shown that even with very simple serially concatenated convolution code with the component codes being very simple memory one codes can achieve near-capacity performance. Furthermore, the inner code, which is a very simple memory one recursive code, can eliminate the error floor due to the intersection of the EXIT curves, resulting in very sharp shape of the turbo cliff. This lecture also makes comparison of the shape of the EXIT curves with recursive and non-recursive convolutional codes.

At the final part of this lecture, we intentional “add” binary errors randomly between the MIMO antennas, and analyses the impacts of the “artificial errors”. It is shown that if the FD SC MMSE equalizer can utilize the error probability to modify the log likelihood ratio (LLR) in the vertical iteration, we can eliminate the effect of the “artificial errors”. The “artificial error” probability can be estimated only at the decoder side (no side information needed).

Obviously the “artificial errors” inserted in the connections between the antennas correspond to the “intra-link” errors in distributed lossy forwarding cooperative networks. Therefore, the last part of this lecture is a preparation of Lecture 3, Tutorial on Lossy Forward Relaying: Orthogonal and non-Orthogonal cases.

Biography:

Prof. Matsumoto received his bachelor’s and master’s degrees in electrical engineering from Keio University in Japan in 1978 and 1980, and his Ph.D. in 1991. He has taught at York University in Canada, Ilmenau University of Technology, Germany, and Keio University in Japan. Since April 2002, Prof. Matsumoto has taught at the University of Oulu, Finland. He has taught MIMO communication technology and turbo code principles and applications. Since 2007, he has also taught at the University of Japan’s Hokuriku Science and Technology University. , teaching two courses of information theory and coding theory.

Prof. Matsumoto’s research direction is mainly information theory and coding, especially the coding and equalization techniques of turbo codes. Prof. Matsumoto has been involved in the field of turbo code for more than 15 years. In 2004, he discussed the application of turbo code correlation technology to receivers for wireless communication, and then discussed extending the application of turbo codes to performance analysis in communication scenarios such as multi-antenna. The above research is included in Mobile Broadband Multimedia. In Networks Techniques, Models and Tools for 4G.

Prof. Matsumoto also studied the communication performance improvement of the iterative process for cooperative communication methods, and has published articles in a large number of well-known journals. In addition, he has served as an editor of several international academic journals. Prof. Matsumoto has received IEEE Outstanding Contribution Award, IEICE Best Paper, IEEE Outstanding Review, IEEE Distinguished Speaker, Finnish Distinguished Professor and other awards and titles since 2002. . At the same time, he is also IEEE Fellow, which has a great influence in the field of communication.

Harbin Institute of Technology Advanced Communications Technologies Forum 2018

Title 1： Efficient Decoding over Unknown Impulsive Noise Channels

Date and Time: 10:00-11:30, September 2, 2018

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

It has been known from many researches that communication systems are susceptible to memoryless impulsive noise characterized by, for instance, the Bernoulli-Gaussian model. In order to combat this obstacle, channel coding has long served as an effective tool, especially in the context of moderately frequent occurrence of impulses, when the statistics of impulsive noise can be realized at the decoder. In this talk, irrespective of the statistics of impulses, an efficient decoding scheme is introduced by incorporating clipping-featured technique into the Viterbi algorithm. As a result, the proposed decoding scheme, while having a complexity at the same order as that of the Viterbi algorithm, is on a par with its optimal counterpart, for which statistics of impulses is assumed known at receiver, in terms of bit error probability. In addition, the Chernoff bounds of the bit error probabilities of the devised decoding algorithm are derived for both Bernoulli-Gaussian noise model and Middleton Class-A noise model. Comparisons between the bounds we derived and the simulated error rates under a variety of settings indicate that the ensuing analysis can provide critical insights for the efficacy of the proposed decoding approach when dealing with precarious frequent strong impulses.

Title 2： Novel FFT over Binary Finite Fields and Its Application to Reed-Solomon Erasure Codes

Date and Time: 10:00-11:30, September 7, 2018

Location：ROOM 1011, BUILDING 2A, NO.2 YIKUANG STREET,

HARBIN, HEILONGJIANG, CHINA

Abstract:

Abstract A fundamental issue in algebra is to reduce the computational complexities of arithmetic operations over polynomials. Many fast polynomialrelated algorithms, such as encoding/decoding of Reed-Solomon codes, are based on fast Fourier transforms (FFT). However, it is algorithmically harder as the traditional fast Fourier transform (FFT) cannot be applied directly over characteristic-2 finite fields. To the best of our knowledge, no existing algorithm for characteristic-2 finite field FFT/polynomial multiplication has provably achieved O(h log2(h)) operations. In this talk, we present a new basis of polynomial over finite fields of characteristic-2 and then apply it to the encoding/decoding of Reed-Solomon erasure codes. The proposed polynomial basis allows that h-point polynomial evaluation can be computed in O(h log2(h)) finite field operations with small leading constant. As compared with the canonical polynomial basis, the proposed basis improves the arithmetic complexity of addition, multiplication, and the determination of polynomial degree from O(h log2(h) log2 log2(h)) to O(h log2(h)). Based on this basis, we then develop the encoding and erasure decoding algorithms for the (n = 2r; k) Reed-Solomon codes. Thanks to the efficiency of transform based on the polynomial basis, the encoding can be completed in O(n log2(k)) finite field operations, and the erasure decoding in O(n log2(n)) finite field operations. To the best of our knowledge, this is the first approach supporting Reed-Solomon erasure codes over characteristic-2 finite fields while achieving a complexity of O(n log2(n)), in both additive and multiplicative complexities. As the complexity of leading factor is small, the algorithms are advantageous in practical applications.

This work was presented at the 55th Annual Symposium on Foundations of Computer Science (FOCS 2014).

Biography:

Prof. Yungh-Siang Han graduated from the Department of Electrical Engineering of Tsinghua University in Taiwan in 1984 and obtained a master’s degree in the same department in 1986. In 1993, Prof. Yungh-Siang Han received his Ph.D. in Computer and Information Science from Syracuse University, New York. He has taught at Hua Fan College of Humanities and Technology, Jinan International University, and Taipei University. From August 2010 to January 2017, he taught at the Department of Electrical Engineering of the Taiwan University of Science and Technology and was appointed as a lecturer in the school in June 2011. Since February 2015, he is also a lecturer at Taipei University. He is currently a Distinguished Professor of Distinguished Talents in the School of Electrical Engineering and Intelligence at Dongguan Institute of Technology.

Prof. Yungh-Siang Han’s research interests are mainly in error control codes, wireless networks and information security. He has been engaged in the most advanced error control code decoding research for over 20 years. Twenty years ago he first developed a continuous decoding algorithm based on the A* algorithm. At the time, the algorithm attracted a lot of attention because it was the most efficient maximum likelihood softness decision decoding algorithm for binary linear block codes. This decoding algorithm has been included in the classic textbook of error control codes.

Prof. Yungh-Siang Han also successfully applied coding theory to the research field of wireless sensor networks. He has published several highly cited works on wireless sensor network research. One of the random key pre-allocation schemes was cited more than two thousand times. He is also the editor of several international academic journals. Professor Han is the winner of the 1994 Ph.D. Thesis at Syracuse University and an IEEE Fellow. In 2013, one of his papers won the prestigious ACM CCS Test of Time award. This award is the most influential paper award of the year in ACM’s information security field.

IEEE ComSoc Harbin Chapter Members Reach the New Milestone

In order to attract more talents and enhance the international influence, IEEE ComSoc Harbin Chapter organized a series of recruiting events facing to faculties and students of northeastern universities in China since 2018.

The core volunteers had made a lot of effort to promote IEEE and ComSoc. Chapter Chair, Prof. Weixiao Meng and Vice Chair, Dr. Shuai Han organized a publicity meeting where they described the history, development and current influence of the IEEE ComSoc Harbin Chapter. Faculty members also share the functions of IEEE ComSoc with their students and encourage them to start their professional careers with ComSoc student member. At the same time, Harbin Chapter also made full use of multimedia social networks. After contacting with professors who are focusing on information and communications engineering in northeastern universities, QQ and WeChat membership groups were established among universities and various organizations, mainly oriented to teachers, master and Ph.D students. In those groups, chapter issued the relevant notifications for the recruiting events and sent warm invitations to the potential teachers and students. In order to organize some activities afterward, Harbin Chapter raised funds to customize T-shirts for the new members and guests.

Due to meticulously preparation, many teachers and students responded positively. The number of active members in IEEE ComSoc Harbin Chapter has reached 121 by April, 2018. According to IEEE Current Grade Description, there are 1 associate member, 38 graduate student members, 51 members, 12 senior members, 17 student members and 2 affiliate. Among the 121 members, 64 of them are new members from last September, and more than 50% of new members are student or graduate student members.

Through data analysis, we can find that IEEE ComSoc Harbin Chapter membership is the absolute majority in Harbin Section. They mainly focus on computer sciences and information, engineering and technical communication.

Besides, the Harbin Chapter nominated Ms. Qian Chen, a Ph.D student member as the student chair, who plays an important bridge role between chapter and all kinds of students.

In the future, IEEE ComSoc Harbin Chapter will organize a series of lectures and academic activities for members in different areas to boost communication and cooperation. It is believed that with the joint efforts of all members, Harbin chapter will develop in a better way.

IEEE ComSoc Harbin Chapter Won Three International Academic Activities Awards at IEEE Globecom 2018

IEEE ComSoc Harbin Chapter won three international academic activities awards at IEEE Globecom 2018 in Abu Dhabi, United Arab Emirates from December 9^th to13^th in 2018, which are 2018 Chapter Of The Year Award, Asia Pacific Region 2018 Chapter Achievement Award, 2018 IEEE Asia Pacific Conference Contribution Award, and the chair of Harbin Chapter, Prof. Weixiao Meng, won 2018 Member and Global Activites Contribution Award.

IEEE Communications Society has 4 regions and 25,600 members currently in the world. China belongs to the Asia-Pacific, which includes 6 chapters.As the youngest one, IEEE ComSoc Harbin Chapter contains 147 members from universities and institutions in three provinces of Northeast China. The chapter is a non-profit academic organization aiming to lead the professional career of members, provide academic exchange platforms and service channels for members so as to promote the development of communication theory, technology and industry.

Harbin Chapter was founded by Prof. Weixiao Meng in 2012, who was also the chair. Associate Prof. Shuai Han served as the vice chair and established the student chair. In the past 6 years, Harbin Chapter has made outstanding achievements in academic exchanges, membership services, upgrades, development, information consultation and won consistent commendation from IEEE Communications Society. This is the first time for Chinese academic organizations to win the serialization of international academic activities award. Prof. Weixiao Meng attended the conference，accepted the award from the international academic organization and made a speech.

In the past one year, IEEE ComSoc Harbin Chapter tried its best to attract more elites and promote quantity and quality of its membership. In order to enrich the chapter   and elevate its international influence, Harbin Chapter organized a series of recruiting events facing to faculties and students of northeastern universities in China which has relative great influence.

The core volunteers has made a lot of effort to enhance the IEEE and ComSoc. Chapter Chair, Prof. Weixiao Meng and Vice Chair, Dr. Shuai Han organized a publicity meeting where they described the history, development and current influence of the IEEE ComSoc Harbin Chapter in details, which have become one of routine activities for newcomers every September. Prof. Weixiao Meng kept contacting with all the EEE and ECE Deans of universities from three provinces of Northeast China, encouraged them to distribute the recruiting polices to the corresponding areas of their own universities. Faculty members also shared the functions of IEEE ComSoc with their students and inspired them to start their professional careers with ComSoc student members. At the same time, Harbin Chapter noticed the crutial state of multimedia, so it made full use of social networks for more sufficient propaganda. After contacting with professors who are focusing on information and communications engineering in northeastern universities, QQ ,WeChat and other social communication groups which mainly oriented to teachers, master and Ph.D students were established among universities and various organizations. IEEE ComSoc Harbin Chapter nominated Ms. Qian Chen, a Ph.D student member as the student chair, who plays an important bridge role between chapter and all kinds of students in March, 2018.In those groups, Harbin Chapter issued the relevant notifications for the recruiting events and sent warm invitations to the potential teachers and students. In order to organize some activities afterward convieniently, Harbin Chapter raised funds to customize T-shirts for the new members and guests, and mailed them to everyone, which were extremely popular among them. Since most of students had no VISA/MASTER cards, the payment of membership became knotty. A faculty member was willing to pay equivalent dollars online for new student members so that the problem was succesfully solved. From these details, therefore, newcomers increased their confidence to Harbin Chapter.

Due to meticulously preparation, many teachers and students responded positively. In order to remain its lasting competitiveness, Harbin Chapter held more than 10 visiting academic lectures last year and hosted 3 DLT and DLS in recent years. In addition, they drafted newsletters to ComSoc twice a year. Their Monday Seminar is still ongoing chairing by student members in Harbin once a week.

Thanks to IEEE Communications Society for confirming the achievements of IEEE Comsoc Harbin Chapter in the last year and awarding the three awards for it. Harbin Chapter will keep seriousness, pragmatic and innovation, try to make greater effort for advanced contributions to IEEE Communications Society in the future.