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.

Harbin Institute of Technology Advanced Communications Technologies Forum 2017

Title：Game theory for Big Data Processing

Date and Time: 11：30—13:00, Auguest 8, 2017

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

HARBIN, HEILONGJIANG, CHINA

Abstract: Modern communication networks are becoming highly virtualized with two-layer hierarchies, in which controllers at the upper layer with tasks to achieve ask a large number of agents at the lower layer to help realize big data processing. In this talk, we combine optimization approaches and game theory to address the tradeoff and convergence issues for incentive mechanism design in hierarchies. Specifically, we propose a multiple-leader multiple-follower (MLMF) game-based alternating direction method of multipliers (ADMM) that incentivizes the agents to perform the controllers’ tasks in order to satisfy the corresponding objectives for both controllers and agents. Both analytical and simulation results verify that the proposed method reaches a hierarchical social optimum and converges at a linear speed. More importantly, the convergence rate is independent of the network size, which indicates that the MLMF game-based ADMM can be used in a network with a very large size for big data processing.

Biography:

Lingyang Song (S’03-M’06-SM’12) received his PhD from the University of York, UK, in 2007, where he received the K. M. Stott Prize for excellent research. He worked as a research fellow at the University of Oslo, Norway until rejoining Philips Research UK in March 2008. In May 2009, he joined the School of Electronics Engineering and Computer Science, Peking University, China, as a full professor. His main research interests include MIMO, cognitive and cooperative communications, security, and big data. Dr. Song wrote 2 text books, “Wireless Device-to-Device Communications and Networks” and “Full-Duplex Communications and Networks” published by Cambridge University Press, UK. He is the recipient of IEEE Leonard G. Abraham Prize in 2016 and IEEE Asia Pacific (AP) Young Researcher Award in 2012. He is currently on the Editorial Board of IEEE Transactions on Wireless Communications. He is an IEEE distinguished lecturer since 2015.

Harbin Institute of Technology Advanced Communications Technologies Forum 2017

Title：The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

Date and Time: 10：00—11:30, Auguest 8, 2017

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

HARBIN, HEILONGJIANG, CHINA

Abstract:

Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best of our knowledge, its application to improve heterogeneous network traffic control which is an important and challenging area for IoT by its own merit has yet to appear because of the difficult challenge in characterizing the appropriate input and output patterns for a deep learning system to correctly reflect the highly dynamic nature of large-scale heterogeneous networks. In this talk, an appropriate input and output characterizations of heterogeneous network traffic will be introduced and a supervised deep neural network system will be proposed. I will describe how our proposed system works and how it differs from traditional neural networks. Also, preliminary results will be discussed and I will demonstrate the encouraging performance of our proposed deep learning system compared to a benchmark routing strategy (Open Shortest Path First (OSPF)) in terms of significantly better signaling overhead, throughput, and delay.

Biography:

Nei Kato is a full professor and the Director of Research Organization of Electrical Communication(ROEC), Tohoku University, Japan. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, IoT, Big Data, and pattern recognition. He has published more than 350 papers in prestigious peer-reviewed journals and conferences. He is the Editor-in-Chief of IEEE Network Magazine(2015.7-), the Associate Editor-in-Chief of IEEE Internet of Things Journal(2013-), and the Chair of IEEE Communications Society Sendai Chapter. He served as a Member-at-Large on the Board of Governors, IEEE Communications Society(2014-2016), a Vice Chair of Fellow Committee of IEEE Computer Society(2016),  a member of IEEE Computer Society Award Committee(2015-2016) and IEEE Communications Society Award Committee(2015-2017). He has also served as the Chair of Satellite and Space Communications Technical Committee(2010-2012) and Ad Hoc & Sensor Networks Technical Committee(2014-2015) of IEEE Communications Society. His awards include Minoru Ishida Foundation Research Encouragement Prize(2003), Distinguished Contributions to Satellite Communications Award from the IEEE Communications Society, Satellite and Space Communications Technical Committee(2005), the FUNAI information Science Award(2007), the TELCOM System Technology Award from Foundation for Electrical Communications Diffusion(2008), the IEICE Network System Research Award(2009), the IEICE Satellite Communications Research Award(2011), the KDDI Foundation Excellent Research Award(2012), IEICE Communications Society Distinguished Service Award(2012), IEICE Communications Society Best Paper Award(2012), Distinguished Contributions to Disaster-resilient Networks R&D Award from Ministry of Internal Affairs and Communications, Japan(2014), Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016) and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a fellow of IEEE and IEICE.

Harbin Institute of Technology Advanced Communications Technologies Forum 2017

Title：Connected Vehicles for Modern Transportation Systems

Date and Time: 8：30—10:00, Auguest 8, 2017

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

HARBIN, HEILONGJIANG, CHINA

Abstract:Modern society depends on faster, safer, and environment friendly transportation system. Vehicular communications network in terms of vehicle to vehicle, vehicle to infrastructure, vehicle to pedestrian, vehicle to cloud, and vehicle to sensor, provides a solution to modern transportation. In this talk, we first introduce the all connected vehicles. We then present the challenges and scientific research issues. of vehicular communications network. As examples, we show how to utilize mobility characteristics of vehicles to derive the achievable asymptotic throughput capacity in VANETs, and how to develop the charging strategies based on mobility of electric vehicles to improve the electricity utility, in order to approach load capacities of charging stations in VANET-enhanced smart grid. We conclude the talk by discuss the future autonomous driving.

Biography:

Xuemin (Sherman) Shen is a University Professor  and Associate Chair for Graduate Studies, Department of Electrical and Computer Engineering, University of Waterloo, Canada. Dr. Shen’s research focuses on wireless resource management, wireless network security, wireless body area networks, smart grid and vehicular ad hoc and sensor networks. He is the Editor-in-Chief of IEEE IoT Journal. He serves as the General Chair for Mobihoc’15, the Technical Program Committee Chair for IEEE GC’16, IEEE Infocom’14, IEEE VTC’10, the Symposia Chair for IEEE ICC’10, the Technical Program Committee Chair for IEEE Globecom’07, the Chair for IEEE Communications Society Technical Committee on Wireless Communications. Dr. Shen was an elected member of IEEE ComSoc BoG, the chair of IEEE ComSoc Distinguish Lecturer selection committee, and a member of IEEE ComSoc Fellow evaluation committee. Dr. Shen received the Excellent Graduate Supervision Award in 2006, and the Premier’s Research Excellence Award (PREA) in 2003 from the Province of Ontario, Canada. Dr. Shen is a registered Professional Engineer of Ontario, Canada, an IEEE Fellow, an Engineering Institute of Canada Fellow, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, and a Distinguished Lecturer of IEEE Vehicular Technology Society and Communications Society.