New challenges and solutions to ISPs in online multiplayer gaming

Ty Sutherland
COO, WTFast, Kelowna BC

 

 

New Challenges and Solutions to ISPs in Online Multiplayer Gaming

Time & Date: 6:00–7:00 pm, Wednesday, October 2, 2019
Location: E103, 1000 KLO Rd., Okanagan College, Kelowna, BC
Registration: https://events.vtools.ieee.org/event/register/205700

Talk Abstract: Online multiplayer gaming popularity is growing rapidly. With e-sports prize purses reaching into millions there is ever-growing desire to play popular games at a competitive level.  This presents new challenges to ISPs who struggle to keep up with growing demands on their network. Network demand can cause latency on the users’ connection which results in poor game experience and ultimately losing a match. WTFast helps to alleviate the pain for users by offering optimized latency-sensitive routing via their GPN, the game player’s network.

The WTFast GPN consists of hundreds of proxy nodes around the world which users connect to using the WTFast client. WTFast subscribers’ game traffic traverses the GPN and terminates near the game servers, often in the same data centers. WTFast has been working with the Okanagan College Computer Science department and NSERC to research new ways to further optimize the service. This talk will be beneficial to anyone interested in joining the NSERC project team or who is interested in online game networks.

Speaker Biography:  Ty Sutherland is COO at WTFast located in Kelowna BC.
WTFast provides network acceleration as a service to online gamers around the world. Ty has been involved in IT service management for over 20 years and has earned CCNA, PMP, ITIL and other certifications. Ty’s a lifelong learner and finds it very rewarding to help others unlock talents and build careers.

For further information please contact: Youry Khmelevsky (email: youry at ieee.org)
Refreshments and Pizza will be provided

Towards Formal Methods and Software Engineering for Deep Learning: Security, Safety, and Productivity for DL Systems Development

Youry Khmelevsky
Computer Science Department
Okanagan College, Kelowna, BC, Canada

Towards Formal Methods and Software Engineering for Deep Learning: Security, Safety, and Productivity for DL Systems Development
(co-sponsored by IEEE Okanagan Subsection)

Time & Date: 7:00–8:30 pm, Monday, September 16, 2019
Location: Lecture Theatre, (PL 107), Ashnola Building, Okanagan College Penticton Campus, 583 Duncan Avenue, Penticton, BC
Note: Admission is by donation. Funds will be used to help students in need (https://ocspeakersseries.weebly.com)

Abstract:

Deep Learning (DL) techniques are now widespread and being integrated into many important systems. Their classification and recognition abilities ensure their relevance for multiple application domains far beyond pure signal processing. As a machine-learning technique that relies on training instead of explicit algorithm programming, they offer a high degree of productivity. But recent research has shown that they can be vulnerable to attacks and the verification of their correctness is only just emerging as a scientific and engineering possibility. Moreover, DL tools are not integrated into classical software engineering so software tools to specify, modify and verify them would make them even more mainstream as software-hardware systems. This talk will survey recent work and propose research directions and methodologies for this purpose.

Speaker Bio:

Youry Khmelevsky received his Ph.D. degree in computer science from the Institute of Simulation Problems in Power Industry, Academy of Sciences of Ukraine. His current research interests include software engineering; cloud and high-performance computing; large Web-based information systems (Oracle, DB2, Sybase, MS SQL); no programming paradigm and source code generation from UML models and software specifications; interdisciplinary applied computer science research. Dr. Khmelevsky had served as postdoctoral fellow at Harvard University; was a Visiting Scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology (MIT); was an Invited Researcher at LIP6, Sorbonne University, Paris, France; held engineering and R&D positions in Industry in Europe and North America for about 15 years, including at Alberta Energy, Government of Alberta, Canada.

For further information please contact: Youry Khmelevsky (email: Youry at IEEE.org)
Registration is opened now: https://events.vtools.ieee.org/tego_/event/manage/204797

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

Full Professor Julian Cheng
The School of Engineering, Faculty of Applied Science, at The University of British Columbia, Okanagan campus in Kelowna, BC, Canada.

 

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


Time & Date: TBA, September , 2019
Location: TBA, UBC Okanagan Campus
Registration: TBA

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. 

Speaker Bio:

Julian Cheng received his PhD degree in electrical engineering from the 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 CommunicationsIEEE Communications Letters, and IEEE Access, and was a past Guest Editor for a special issue of IEEE Journal on Selected Areas in Communicationson optical wireless communications. Currently, he serves as the President of the Canadian Society of Information Theory.

For further information please contact: Julian Cheng (email: Julian.Cheng at ubc.ca) or/and Youry Khmelevsky (email: Youry at IEEE.org)
Refreshments will be provided

Artificial Intelligence, AlphaGo, and Computer Hex

Dr. Ryan Hayward

Professor

Department of Computing Science

University of Alberta

 

Artificial Intelligence, AlphaGo, and Computer Hex

Time & Date: 1 pm–2 pm, Thursday, March 29th, 2018
Location: ASC 301, UBC, Okanagan Campus, Kelowna, BC

Talk Abstract: In 2016 DeepMind astonished the Go world with its superhuman-strength program AlphaGo. I will give a brief history of AlphaGo and discuss and its influence on current board game research, including computer Hex. Hex is the connection board game invented by Piet Hein in 1942 and introduced in North America by John Nash around 1949. Our research group at the University of Alberta has built strong Hex players and solvers.

Speaker Biography:

Ryan Hayward received his B.Sc. and M.Sc. in mathematics from Queen’s University (Kingston) in 1981 and 1982 and his Ph.D. in computer science from McGill University in 1987.
His doctoral thesis, Two Classes of Perfect Graphs, was supervised by Vaclav Chvatal. From 1986 through 1989 he was assistant professor in the Department of Computer Science at Rutgers University, after which he held an Alexander von Humboldt fellowship at the Institute for Discrete Mathematics in Bonn for 1989-90. From 1990 through 1992 he was assistant professor in the Department of Computing Science at Queen’s University. From 1992 he was assistant and then associate professor in the Department of Mathematics and Computer Science at the University of Lethbridge, until in 1999 joining the Department of Computing Science at the University of Alberta, where he was promoted to professor in 2004.

He has supervised 13 graduate and 29 undergraduate students, some of whom later became university professors. His current research interests include algorithms for two-player games.
His group (including at times Yngvi Bjornsson, Michael Johanson, Broderick Arneson, Philip Henderson, Jakub Pawlewicz, and Aja Huang — later lead programmer of AlphaGo) has built the world’s strongest computer Hex player, and has solved two 1-move 10×10 Hex openings and all smaller-board openings. With Bjarne Toft, he is writing a book on the history of Hex,
to be published in 2018.

For further information please contact:
Dr. Yong Gao (yong.gao@ubc.ca) and Dr. Jim Nastos (jim.nastos@ubc.ca) and
Youry Khmelevsky (email: youry@ieee.org)
Registration is open now: https://events.vtools.ieee.org/m/170241
Refreshments will be provided

Fundamental Limits and Coding for Additive Gaussian and non-Gaussian Channels

Dr. Nghi Tran

Associate Professor

Department of Electrical & Computer Engineering

The University of Akron, OH, USA

 

Fundamental Limits and Coding for Additive Gaussian and non-Gaussian Channels

Time & Date: 2:45 pm–4:15 pm, Monday, March 26th, 2018
Location: EME 4218, UBC, Okanagan Campus, Kelowna, BC

Talk Abstract: In many communication channels, the additive white Gaussian noise (AWGN) has been widely used to model the receiver thermal noise. Over the last few decades, many state-of-the-art techniques have been developed to address the problem of reliable transmissions over AWGN channel links in digital communications. These developments include both information-theoretic studies and explicit source and channel coding/modulation schemes for practical purposes. As a result, effective solutions have been devised and the results can serve as the fundamental theory and practice behind many modern communication systems. While AWGN model is useful in providing an insight into the underlying behavior of communication systems, it ignores some other impairments which are prevalent in various communication environments. For instance, non-Gaussian impulsive interference caused undesirable impulse triggers in the form of random bursts that occur over short durations severely affect the throughput and reliability of many modern communication systems, including power line communications, digital subscriber lines, cognitive radio, urban and indoor wireless communications, underwater acoustic communications and so on. Non-Gaussian interference is also observed in audio, video, and imaging systems. Despite many advancements, channels under non-Gaussian interference are not fully understood, from both an information-theoretic and a practical point of view.

This talk shall provide an introduction on the well-established area of information theory and coding for AWGN channels, as well as emerging research directions in information theory and coding for non-Gaussian channels. The talk is divided in two parts. In the first part, I will introduce some introductory materials on information theory and coding designs in AWGN channels. The main focus is on the Shannon capacity and evolution of error control coding from the simplest block codes such as Hamming codes to near-Shannon limit coding schemes that have recently been invented. I also discuss the improvements of error control coding over AWGN channels during the last few decades, with respect to both the error performance and the complexity issue. In the second part of the talk, I will provide an overview of current research on information theory and coding for non-Gaussian and non-linear channels, with particular attention paid to impulsive interference channels and channels with low-resolution output quantization. I will also discuss major open research issues and directions for future research on these channels.

Speaker Biography: Dr. Tran received the B.Eng. degree from Hanoi University of Technology, Vietnam in 2002, the M.Sc. degree (with Graduate Thesis Award) and the Ph.D. degree from the University of Saskatchewan, Canada in 2004 and 2008, respectively, all in Electrical and Computer Engineering. From May 2008 to July 2010, he was at McGill University as a Postdoctoral Scholar under the prestigious Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship. From August 2010 to July 2011, Dr. Tran was at McGill University as a Research Associate. He also worked as a Consultant in the satellite industry. Since August 2011, Dr. Tran has been with the Department of Electrical and Computer Engineering, University of Akron, OH, USA. Dr. Tran’s research interests span the areas of signal processing and communication and information theories for wireless systems and networks. Dr. Tran is currently an Editor for IEEE Transactions on Communications, an Editor for IEEE Communications Letters, an Editor for Elsevier Physical Communication, and a Lead Guest Editor for EURASIP Journal on Wireless Communications and Networking, Special Issue on Full-Duplex Radio: Theory, Design, and Applications. Dr. Tran has been serving as a TPC member for a number of flagship IEEE conferences. He was a TPC co-Chair of the Workshop on Trusted Communications with Physical Layer Security for IEEE GLOBECOM 2014, a Publicity Chair of the Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE ICC 2017, a Publicity Chair of the Second Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE GLOBECOM 2017, and a Publicity Chair of the Third Workshop on Full-Duplex Communications for Future Wireless Networks for IEEE ICC 2018.

For further information please contact: Dr. Md. Jahangir Hossain (jahangir.hossain@ubc.ca) and
Youry Khmelevsky (email: youry@ieee.org)
Registration is open now: https://events.vtools.ieee.org/m/170018
Refreshments will be provided

A New Cramér-Rao Bound for White Gaussian Noise

Professor Norman Beaulieu
Beijing University of Postal & Telecommunications

A New Cramér-Rao Bound for White Gaussian Noise 

Time & Date: 9:00am-10:00am, Thursday June 8, 2017
Location: EME 1151, UBC Okanagan campus
Registration is open now: https://events.vtools.ieee.org/m/45794 

Talk Abstract: 

The Cramér-Rao (CR) lower bound is ubiquitous in signal processing and communications, finding application in wireless communications, optical communications, RF engineering, data communications, speech and image processing and biomedical engineering, for example. It is the universal measure of the goodness of an estimator or a predictor in these fields, and it is considered fundamental in mathematical statistics. Of a plethora of application areas, we mention only channel state prediction, signal-to-noise ratio, mean-square-error, symbol and frame estimation, as well as carrier phase, carrier frequency, and carrier amplitude estimations. Yet, the Cramér-Rao lower bound has severe limitations and shortcomings. Despite these disadvantages, the CR bound continues to find widespread application as the quality measure of choice in prediction, estimation and detection research and in engineering practice. This is probably because known alternatives to the CR bound are considered highly complex and are thought to be much less simple to apply to practical problems in prediction, estimation and detection. The CR bound is universally expressed in discrete time with the number of “independent samples” as a parameter. Meanwhile, the
number of independent samples is dictated (and without compromise) by the bandwidth and the frequency characteristic of the filtering in the circuitry, and the performance of the CR bound is dependent on the signal characteristics.

In this talk, a fundamental expression of the CRB for a known signal in additive white Gaussian noise is determined. The analysis starts with a discussion on how many independent samples can be obtained from the observed signal, leading to an integral format of the CRB. The continuous-time CRB is proved to be the optimal CRB. The optimum CRB for white Gaussian noise is fundamentally expressed as the noise power spectral density over the energy of the
derivative, with respect to the parameter of estimation, of the observed signal. The CRBs for the amplitude, the carrier frequency, the Doppler shift frequency and the phase shift of a carrier signal are presented. A detailed example of carrier phase estimation using the new form of the CRB is given.​

Speaker Biography: 

Dr. Norman C. Beaulieu received the B.A.Sc. (honours), MASc., and Ph.D. degrees in electrical engineering from the University of British Columbia, Canada in 1980, 1983, and 1986, respectively. He was awarded the University of British Columbia Special University Prize in Applied Science in 1980 as the highest standing graduate in the Faculty of Applied Science.

Dr. Beaulieu was a Queen’s National Scholar Assistant Professor with the Department of Electrical Engineering, Queen’s University, Canada from 1986 to 1988, an Associate Professor from 1988 to 1993, and a Professor from July 1993 to 2000. In 2000, he became the iCORE Research Chair in Broadband Wireless Communications at the University of Alberta, Edmonton, Alberta, Canada, in 2001, the Canada Research Chair in Broadband Wireless Communications, and in 2010 the AITF Research Chair in Broadband Wireless Communications.

Dr. Beaulieu received the Natural Science and Engineering Research Council of Canada (NSERC) E.W.R. Steacie Memorial Fellowship in 1999. He was elected a Fellow of the Engineering Institute of Canada in 2001, a Fellow of the Royal Society of Canada in 2002 and a Fellow of the Canadian Academy of Engineering in 2006. In 2004, he was awarded the Medaille K.Y. Lo Medal of the Engineering Institute of Canada. He was awarded the Thomas W. Eadie Medal of the Royal Society of Canada in 2005, as well as the Alberta Science and Technology Leadership Foundation ASTech Outstanding Leadership in Alberta Technology Award. He was the 2006 recipient of the J. Gordin Kaplan Award for Excellence in Research, the University of Alberta’s most prestigious research prize. Dr. Beaulieu is listed on ISIHighlyCited.com and was an IEEE Communications Society Distinguished Lecturer in 2007/2008. He is the recipient of the IEEE Communications Society 2007 Edwin Howard Armstrong Achievement Award. Dr. Beaulieu is the recipient of both the 2010 R.A. Fessenden Silver Medal and the 2010 Canadian Award in Telecommunications. In 2011, he was awarded the IEEE Communications Society Radio Communications Committee Technical recognition Award, and in 2013, the Signal Processing and Communications Electronics Technical Committee (Inaugural) Technical Recognition Award. In 2014, he was awarded the IEEE CTTC (Communication Theory Technical Committee) Personal recognition Award, and in 2015, he was recruited as the “Thousand Plan Professor” by Beijing University of Postal & Telecommunications in China.

For further information please contact: Julian Cheng (email: Julian.Cheng at ubc.ca)
Refreshments will be provided

The Absolute Error Power Detectors

Professor Norman Beaulieu
Beijing University of Postal & Telecommunications

 

The Absolute Error Power Detectors

Time & Date: 3:30pm-4:30pm, Thursday June 1, 2017
Location: EME 1101, UBC Okanagan campus
Registration is open now: https://events.vtools.ieee.org/m/45726

Talk Abstract:
It is well known and fundamental that the matched filter is the optimal detector for a signal immersed in additive white Gaussian noise. The matched filter is a continuous-time structure and always performs better than digital matched filters, which are optimal structures for detecting signals in additive white Gaussian noise based on a number of independent samples of the signal-plus-noise. In the case of non-Gaussian noise, only one other optimal detection structure is known, and that is the optimal (continuous-time) detector for signals immersed in Laplace noise. Meanwhile, the fundamental Gaussian distribution is a special case of the more flexible and descriptive generalized Gaussian distribution (GGD). In this talk, we derive the optimal detector for a signal immersed in additive GGD noise, which we dub the generalized matched filter. This detection scheme finds the absolute value of the difference between a replica of the transmitted signal and the received signal-plus noise, raises this absolute error to the βth power, and then integrates the resulting signal. This detection structure can, therefore, also be referred to as the absolute error power detector. We show that the matched filter is a special case of the absolute error power detector for GGD parameter β = 2, the Gaussian noise case, and that the optimal detector for Laplace noise is also a special case when β = 1. The optimal probability of error for binary signaling in additive white generalized Gaussian noise is assessed. The fundamental structure is also optimal for higher-level modulations after straightforward extensions.

Speaker Biography:
Dr. Norman C. Beaulieu received the B.A.Sc. (honours), MASc., and Ph.D. degrees in electrical engineering from the University of British Columbia, Canada in 1980, 1983, and 1986, respectively. He was awarded the University of British Columbia Special University Prize in Applied Science in 1980 as the highest standing graduate in the Faculty of Applied Science.

For further information please contact: Julian Cheng (email: Julian.Cheng at ubc.ca)
Refreshments will be provided

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

 

 
Prof. Julian Cheng

The University of British Columbia (Okanagan campus)

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

Time & Date: 11am-12pm, Monday June 5, 2017
Location: EME 1101, UBC Okanagan campus
Registration is open now: https://events.vtools.ieee.org/m/45593

Talk 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.

Speaker Biography:

Julian Cheng received his PhD degree in electrical engineering from the University of Alberta, Edmonton, AB, Canada. He is currently a Full Professor (with tenure) in the School of Engineering 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. Currently, he serves as an Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Communications Letters, IEEE Access, as well as a Guest Editor for a special issue of IEEE Journal on Selected Areas in Communications on optical wireless communications.

For further information please contact: Julian Cheng (email: Julian.Cheng at ubc.ca)
Refreshments will be provided