IEEE
February 11th, 2017

IEEE Winnipeg Waves Chapter (APS/MTTS/VTS) is pleased to present:

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Seminar Title: LTE on Unlicensed Band

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Speaker: Prof. Geoffrey Ye Li

IEEE Distinguished Lecturer—Vehicular Technology Society (VTS)

Professor, ECE Department, Georgia Tech.

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Date: Wednesday, Feb 22, 2017 at 11.15 AM

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Location:  EITC E1-270 (Fort Garry Campus; Engineering Building)

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Abstract of the Presentation: Future 5G cellular networks are facing the challenging task on increasing their capacity dramatically. Despite some cutting-edge capacity-approaching techniques, the limited licensed spectrum is still a major bottleneck for capacity improvement. To tackle this issue, a new standard has been developed within 3GPP for LTE systems, currently on the licensed bands, to operate on the unlicensed bands, which is called LTE on unlicensed bands (LTE-U). LTE has many advanced techniques, which can be exploited in the unlicensed bands to achieve a high spectral efficiency. However, the unlicensed bands are currently occupied by the widely-deployed WiFi networks.  The major challenge on LTE-U is how to design fair and efficient coexistence mechanisms between LTE and WiFi networks. In this talk, we will first discuss traditional traffic offloading, resource sharing, and hybrid of the both for LTE users to optimally exploit unlicensed bands while guaranteeing of the QoS of the existing WiFi users. To improve both the LTE and WiFi users simultaneously and achieve a win-win situation, we then provide a novel traffic offloading strategy, which is just opposite to the traditional one and offloads some WiFi users to the LTE networks and at the same time relinquishes some unlicensed bands to LTE-U. Since the unlicensed bands are usually operated less energy-efficiently than the licensed ones due to the higher carrier frequency of the unlicensed bands and larger pass-loss, we also present a framework for energy-efficiency (EE) optimization in LTE-U. We establish a criterion to determine whether the EE of the LTE system can be improved with the help of the unlicensed bands. Based on the criterion, we then develop a joint licensed and unlicensed resource allocation algorithm to maximize the EE of each LTE small cell base station.

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Biography of the Speaker: Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He is also holding a Cheung Kong Scholar title at the University of Electronic Science and Technology of China since 2006. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include wireless communications and statistical signal processing. In these areas, he has published over 300 referred journal and conference papers in addition to 26 granted patents. His publications have been cited by over 24,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters. He has been an IEEE Fellow since 2006. He received the Stephen O. Rice Prize Paper Award in 2010 and the WTC Wireless Recognition Award in 2013 from the IEEE Communications Society and the James Evans Avant Garde Award in 2013 and the Jack Neubauer Memorial Award in 2014 from the IEEE Vehicular Technology Society. Recently, he won 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.

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February 11th, 2017

Date: February 21, 2017

Time: 5:30-6:30 pm

Location: Room E2-399 Engineering & Information Technology Complex (EITC), University of Manitoba, Winnipeg MB

 

The proposed agenda and the minutes from the previous meeting are attached below:

2017_02_21_Agenda

2016_11_16_Minutes

We hope to see you there!

January 27th, 2017

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

You are welcome to attend.

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

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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.
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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.

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For additional information, please contact:
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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
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December 9th, 2016

Date and Time:

Tuesday, January 17, 2017 from 6:00 – 9:00 PM

Location:

Best Western Plus, Winnipeg Airport Hotel
1715 Wellington Avenue
Winnipeg, MB

Abstract:

The meeting is open to all IEEE members and your participation is important in making this a successful event. Highlights from 2016 will be presented along with an introduction of the nominees for the 2017 Executive Committee. Dinner will be served following the brief business portion of the meeting along with presentations from a keynote speaker.

The agenda for the business portion of the meeting and the speaker will be announced shortly.

We hope to see you there!

WebEx Information:

For the first time, those members wishing to attend from outside Winnipeg can request WebEx access. Please email schor@ieee.org for details.

Contact:

Dario Schor, Chair, IEEE Winnipeg Section
schor@ieee.org

 

December 9th, 2016

Title:

Collaborative DDoS Defense and New IoT Threats

Speaker:

Jem Berkes
Research Lead
Galois Inc., USA

Date and Time:

Monday, December 19, 2016 from 1:30-3:00pm

Location:

E1-270 EITC
University of Manitoba, Fort Garry Campus

Abstract:

Distributed Denial of Service (DDoS) attacks have grown dramatically in size over the last few years. Attacks can easily generate over 500 Gbps of traffic, threatening ISPs and critical internet infrastructure. This talk has two parts. Part 1 will cover the current state of DDoS and our research into using distributed network sensors in a decentralized detection and mitigation scheme. Part 2 explains new IoT-based botnet threats that have emerged in just the last months.

Speaker Bio:

Jem Berkes has 15 years of experience developing software to defend against Internet-based threats, particularly malware, remote exploits, and spam. At Galois, Mr. Berkes is the Research Lead for DDoS Defense and previously worked on experimental operating system defenses and probabilistic programming languages. Mr. Berkes received a B.Sc. in Computer Engineering from the University of Manitoba in 2005 and a M.Sc. in Electrical Engineering from the University of Waterloo in 2008.

Contact:

Salman Khan
Ph.D. Candidate ECE
muhammadsalman.khan@umanitoba.ca