IEEE

Archive for the ‘Communications Chapter’ Category

IEEE Communications Society Seminar – A Probabilistic Theory of Deep Learning – May 18, 2017

Thursday, May 11th, 2017
Event Title: Technical Seminar – A Probabilistic Theory of Deep Learning
Speaker: Dr. Richard Baraniuk
Date: Thursday May 18, 2017
Time: 2:00 pm
Location: Room E3-262 , EITC, University of Manitoba, Fort Garry Campus
Abstract: A grand challenge in machine learning is the development of computational algorithms that match or outperform humans in perceptual inference tasks that are complicated by nuisance variation. For instance, visual object recognition involves the unknown object position, orientation, and scale in object recognition while speech recognition involves the unknown voice pronunciation, pitch, and speed. Recently, a new breed of deep learning algorithms have emerged for high-nuisance inference tasks that routinely yield pattern recognition systems with near- or super-human capabilities. But a fundamental question remains: Why do they work? Intuitions abound, but a coherent framework for understanding, analyzing, and synthesizing deep learning architectures has remained elusive. We answer this question by developing a new probabilistic framework for deep learning based on the Deep Rendering Model: a generative probabilistic model that explicitly captures latent nuisance variation. By relaxing the generative model to a discriminative one, we can recover two of the current leading deep learning systems, deep convolutional neural networks and random decision forests, providing insights into their successes and shortcomings, a principled route to their improvement, and new avenues for exploration.
Biography of the Speaker: Richard G. Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University.  He received the B.Sc. degree in 1987 from the University of Manitoba, the M.Sc. degree in 1988 from the University of Wisconsin-Madison, and the Ph.D. degree in 1992 from the University of Illinois at Urbana-Champaign, all in Electrical Engineering.  His research interests lie in  new theory, algorithms, and hardware for sensing, signal processing, and machine learning.  He is a Fellow of the American Academy of Arts and Sciences, National Academy of Inventors, American Association for the Advancement of Science, and IEEE.  He has received the DOD Vannevar Bush Faculty Fellow Award (National Security Science and Engineering Faculty Fellow), the IEEE Signal Processing Society Technical Achievement Award, and the IEEE James H. Mulligan, Jr. Education Medal.  He holds 28 US and 4 foreign patents that have been licensed to 2 companies.
Other information: The seminar is free and open to all who wish to attend. For more information please contact Dr. Jun Cai.

Communications Chapter Seminar – Waveforms and Coding Methods for New Radio in 5G

Friday, January 27th, 2017

==========================================================================
IEEE COMMUNICATIONS SOCIETY, Winnipeg Section, is hosting the following technical seminar.

You are welcome to attend.

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
TITLE: Waveforms and Coding Methods for New Radio in 5G
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-

SPEAKER: Dr. Nandana Rajatheva

DATE: Tuesday, 31 January 2017

TIME: 1:30 pm

PLACE: Room EITC E2-160, EITC, University of Manitoba, Fort Garry Campus

ORGANIZER: IEEE Communications Society (Winnipeg Section)

ENTRANCE FEE: Free

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
ABSTRACT:
Cellular systems are expected to employ higher frequencies going into mmWaves. Given this there are justifications to consider different waveforms than the well known OFDM especially in massive MIMO scenarios. Therefore we have considered the performance of single carrier schemes in a variety of channel configurations including peak-to-average power ratio (PAPR) issues. In addition as the standardization is going on in 5G within 3GPP, various channel coding methods have been analyzed in terms of their block and bit error rates. We consider Turbo, LDPC and Polar codes as the main schemes. These are investigated with respect to the suitable rates, block lengths by proper design for comparison.
=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-

BIOGRAPHY OF THE PRESENTER:
Nandana Rajatheva (SM’01) received the B.Sc. degree in Electronics and Telecommunication engineering (with first-class honors) from the Universityof Moratuwa, Moratuwa, Sri Lanka, in 1987 and the M.Sc. and the Ph.D. degrees from the University of Manitoba, Winnipeg, MB, Canada, in 1991 and 1995, respectively. He is an Adjunct Professor at the Centre for Wireless Communications, University of Oulu, Finland. His research interests include waveforms and channel coding for 5G and resource allocation for cellular systems as well as smart grid communications. He worked in several European and Finnish projects such as METIS related to the development of 5G. Dr. Rajatheva is a Senior Member of the IEEE Communications and Vehicular Technology Societies.

=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-

For additional information, please contact:
=================================================================
Jun Cai, Ph.D., P.Eng.
Chair, IEEE Communications Society Chapter, IEEE Winnipeg Section
Associate Professor
Department of Electrical and Computer Engineering
University of Manitoba
Winnipeg, MB Canada R3T 5V6
Email: jun.cai@umanitoba.ca
Telephone: 1-204-4746419
==================================================================

Communications Chapter Seminar

Thursday, February 28th, 2013

2013-03-06-com

Title:

Two-Stage Face Recognition using Global and Local Features

Date:

Wednesday, March 6, 2013 at 2:20 pm.

Location:

Room E2-125, EITC, University of Manitoba, Fort Garry Campus

Speaker:

Dr. Ekta Walia Bhullar
Department of Computer Science
South Asian University
New Delhi, India

Contact:

For questions or more information: Pradeepa Yahampath 204-474-8784.

Communications Chapter Seminar

Wednesday, December 5th, 2012

2012_12_14_com

Title:

Dynamic Spectrum Leasing and Service Selection inSpectrum Secondary Market of Cognitive Radio Networks

Date:

Friday, December 14, 2012 at 1:00 pm.

Location:

Room E1-270, EITC, University of Manitoba, Fort Garry Campus

Speaker:

Dr. Kun Zhu
Department of Electrical and Computer Engineering
University of Manitoba, Canada

Abstract:

We consider the problem of dynamic spectrum leasing in a spectrum secondary market of cognitive radio networks where secondary service providers lease spectrum from spectrum brokers to provide service to secondary users. The problem is challenging when the optimal decisions of both secondary providers and secondary users are made dynamically under competition. To address this problem, a two-level dynamic game framework is developed. Since the secondary users can adapt the service selection strategies according to the received service quality and price, the dynamic service selection is modeled as an evolutionary game at the lower level. The replicator dynamics is applied to model the service selection adaptation and the evolutionary equilibrium is considered to be the solution. With dynamic service selection, competitive secondary providers can dynamically lease spectrum to provide service to secondary users. A spectrum leasing differential game is formulated to model this competition at the upper level. Both simultaneous play model and asynchronous play model are considered. The service selection distribution of the underlying evolutionary game describes the state of the upper differential game. Both open-loop and closed-loop Nash equilibria are obtained as the solution of dynamic control of the differential game. Numerical comparison shows the advantages over static control in terms of profit and convergence speed.

Speaker Bio:

Kun Zhu received his Ph.D. degree in 2012 from School of Computer Engineering, Nangyang Technological University, Singapore. He is currently a Post-Doctoral Research Fellow with the Wireless Communications, Networks, and Services Research Group in the Department of Electrical and Computer Engineering at the University of Manitoba, Canada. His research interests are in the area of game theory and resource allocation in cognitive radio networks and broadband wireless access networks.

Contact:

For questions or more information: Ekram Hossain 474-8908.

Communications Chapter Seminar

Monday, May 28th, 2012

2012_06_07_com

Title:

Controlled coalitional games for cooperative mobile social networks

Date:

Thursday, June 7, 2012 at 10:00 am.

Location:

Room E2-361, EITC, University of Manitoba, Fort Garry Campus

Speaker:

Dusit Niyato
School of Computer Engineering
anyang Technological University

Abstract:

Mobile social networks have been introduced as an efficient (i.e., to minimize bandwidth usage) and effective (i.e., to minimize the delay or maximizing the number of target recipients) way of disseminating content and information to a particular group of mobile users who share similar interests. In this presentation, we present how the content providers and the network operator can interact to distribute content in a mobile social network. The objective of each content provider is to minimize the cost that pertains to the time used to distribute the content to the subscribed mobile users and the cost due to the price paid to the network operator for transferring the content over a wireless connection through a base station. Although the content providers can cooperate by forming coalitions for sharing a wireless connection, the network operator can control the amount of bandwidth provided over the wireless connection. We introduce a novel coalitional game model, which is referred to as the controlled coalitional game, to investigate the decision-making process of the content providers and the network operator. Numerical studies show that, given the allocated bandwidth from the network operator, the content providers can self organize into coalitions while minimizing their individual cost. In addition, the results demonstrate that the revenue of the network operator can be maximized when the bandwidth allocation is performed while considering the coalitional structure of the content providers.

Speaker Bio:

Dusit Niyato (http://www3.ntu.edu.sg/home/dniyato/) is currently an assistant professor in the School of Computer Engineering, at the Nanyang Technological University, Singapore. He obtained his Bachelor of Engineering in Computer Engineering from King Mongkuts Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand. He received his Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada. His research interests are in the area of radio resource management in cognitive radio networks and broadband wireless access networks. Dr. Niyato has won several research awards which include the IEEE 2012 Wireless Communications and Networking Conference (IEEE WCNC 2012) Best Paper Award, the IEEE 2011 International Conference on Communications (IEEE ICC 2011) Best Paper Award, and the 2011 IEEE Communications Society Fred Ellersick Prize Paper Award. Currently, he serves as an Editor for the IEEE Transactions on Wireless Communications and the IEEE Wireless Communications Letters. From June 1- June 30, 2012 Dr. Niyato is a Visiting Professor in the Department Electrical and Computer Engineering at the University of Manitoba.

Contact:

For questions or more information: Ekram Hossain 474-8908.