[CCoE Notice] Friday 12/9 seminars 10am-12pm, 2pm-4pm at W205

[Lewis, Lindsay R]

Dear all,

We will have Marathon style seminar this Friday by Professor Angela Zhang (Chinese University of Hong Kong), Professor Jianwei Huang (Chinese University of Hong Kong), Professor Guoqiang Mao (University of Sydney) and Professor Xingbin Wang (Shanghai Jiaotong University). Two of them are IEEE Marconi prize winner and one of them is the winner of IEEE best Asia Pacific young researcher under 35. If you or your students have interests, please find the following for more information.

Many thanks for you support!

Zhu Han

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10am
Title: Slow adaptive OFDMA systems
Adaptive OFDMA has recently been recognized as a promising technique
for providing high spectral efficiency in future broadband wireless
systems. The research over the last decade on adaptive OFDMA systems
has focused on adapting the allocation of radio resources, such as
subcarriers and power, to the instantaneous channel conditions of all
users. However, such "fast" adaptation requires high computational
complexity and excessive signaling overhead. This hinders the
deployment of adaptive OFDMA systems worldwide. In this talk, I will
introduce a slow adaptive OFDMA scheme, in which the subcarrier
allocation is updated on a much slower timescale than that of the
fluctuation of instantaneous channel conditions. Meanwhile, the data
rate requirements of individual users are accommodated on the fast
timescale with high probability, thereby meeting the requirements
except occasional outage. Such an objective has a natural chance
constrained programming formulation, which is known to be intractable.
To circumvent this difficulty, we formulate safe tractable constraints
for the problem based on recent advances in chance constrained
programming. We then develop a polynomial-time algorithm for computing
an optimal solution to the reformulated problem. Our results show that
the proposed slow adaptation scheme drastically reduces both
computational cost and control signaling overhead when compared with
the conventional fast adaptive OFDMA. Our work can be viewed as an
initial attempt to apply the chance constrained programming
methodology to wireless system designs. Given that most wireless
systems can tolerate an occasional dip in the quality of service, we
hope that the proposed methodology will find further applications in
wireless communications.
Bio:
Angela Yingjun Zhang received her PhD degree in Electrical and
Electronic Engineering from the Hong Kong University of Science and
Technology, Hong Kong in 2004. Since Jan. 2005, she has been with the
Department of Information Engineering in The Chinese University of
Hong Kong, where she is currently an Associate Professor.
Angela is on the Editorial Boards of IEEE Transactions on Wireless
Communications and Wiley Security and Communications Networks Journal.
She is a Guest Editor of a Feature Topic in IEEE Communications
Magazine. She has served as a Publication Chair of IEEE Technology
Time Machine Symposium on Technologies Beyond 2020, TPC Co-Chair of
Communication Theory Symposium of IEEE ICC 2009, Track Chair of ICCCN
2007, and Publicity Chair of IEEE MASS 2007. She has been serving as a
Technical Program Committee Member for leading conferences including
IEEE ICC, IEEE GLOBECOM, IEEE WCNC, IEEE ICCCAS, IWCMC, IEEE CCNC,
IEEE ITW, IEEE MASS, MSN, ChinaCom, etc. Angela is an IEEE Technical
Activity Board GOLD Representative, 2008 IEEE GOLD Technical
Conference Program Leader, IEEE Communication Society GOLD
Coordinator, and a Member of IEEE Communication Society Member
Relations Council (MRC).
Dr. Zhang is a co-recipient of 2011 IEEE Marconi Prize Paper Award on
Wireless Communications, the Annual Best Paper Award of IEEE
Transactions on Wireless Communications. As the only winner from
Engineering Science, Dr. Zhang has won the Hong Kong Young Scientist
Award 2006, conferred by the Hong Kong Institution of Science.
--------------------------------------
11am
Title: Economics of Cooperative Spectrum Sharing: Bargaining,
Contract, and Auction
Abstract: With the explosive development of wireless services and
networks, spectrum is becoming more congested and scarce. Cooperative
spectrum sharing allows primary (licensed) and secondary (unlicensed)
users to exchange communication resources in order to improve the
performance of both sides. The successful implementation of
cooperative spectrum sharing, however, requires many innovations in
technology, economics, and policy. This talk focuses on the economic
considerations of efficient sharing mechanism design, which encourages
primary users to open licensed spectrum for sharing and secondary
users to utilize the spectrum opportunities despite of the potential
costs. We will start by talking about the dynamic bargaining between
one primary user and one secondary user, then the contract-based
sharing between one primary user and a group of secondary users, and
finally the dynamic auction design for sharing among multiple primary
users and secondary users. The common design challenge in all models
is the performance optimization with incomplete information in a
dynamic network environment.
Bio:
Jianwei Huang (S'01-M'06-SM'11) is an Assistant Professor in the
Department of Information Engineering at the Chinese University of
Hong Kong. He received B.S. in Electrical Engineering from Southeast
University (Nanjing, Jiangsu, China) in 2000, M.S. and Ph.D. in
Electrical and Computer Engineering from Northwestern University
(Evanston, IL, USA) in 2003 and 2005, respectively. He worked as a
Postdoc Research Associate in the Department of Electrical Engineering
at Princeton University during 2005-2007. He was a visiting scholar in
the School of Computer and Communication Sciences at École
Polytechnique Fédérale De Lausanne (EPFL) during the Summer Research
Institute in June 2009, and a visiting scholar in the Department of
Electrical Engineering and Computer Sciences at University of
California-Berkeley in August 2010.
Dr. Huang currently leads the Network Communications and Economics Lab
(ncel.ie.cuhk.edu.hk), with main research focus on nonlinear
optimization and game theoretical analysis of communication networks,
especially on network economics, cognitive radio networks, and smart
grid. He is the recipient of the IEEE Marconi Prize Paper Award in
Wireless Communications in 2011, the International Conference on
Wireless Internet Best Paper Award 2011, the IEEE GLOBECOM Best Paper
Award in 2010, the IEEE ComSoc Asia-Pacific Outstanding Young
Researcher Award in 2009, Asia-Pacific Conference on Communications
Best Paper Award in 2009, and Walter P. Murphy Fellowship at
Northwestern University in 2001.
Dr. Huang has served as Editor of IEEE Journal on Selected Areas in
Communications - Cognitive Radio Series, Editor of IEEE Transactions
on Wireless Communications, Guest Editor of IEEE Journal on Selected
Areas in Communications special issue on "Economics of Communication
Networks and Systems", Lead Guest Editor of IEEE Journal of Selected
Areas in Communications special issue on "Game Theory in Communication
Systems", Lead Guest Editor of IEEE Communications Magazine Feature
Topic on "Communications Network Economics", and Guest Editor of
several other journals including (Wiley) Wireless Communications and
Mobile Computing, Journal of Advances in Multimedia, and Journal of
Communications.
Dr. Huang has served as Vice Chair of IEEE MMTC (Multimedia
Communications Technical Committee) (2010-2012), Director of IEEE MMTC
E-letter (2010), the TPC Co-Chair of IEEE WiOpt (International
Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless
Networks) 2012, the Publicity Co-Chair of IEEE Communications Theory
Workshop 2012, the TPC Co-Chair of IEEE ICCC Communication Theory and
Security Symposium 2012, the Student Activities Co-Chair of IEEE WiOpt
2011, the TPC Co-Chair of IEEE GlOBECOM Wireless Communications
Symposium 2010, the TPC Co-Chair of IWCMC (the International Wireless
Communications and Mobile Computing) Mobile Computing Symposium 2010,
and the TPC Co-Chair of GameNets (the International Conference on Game
Theory for Networks) 2009. He is also TPC member of leading
conferences such as INFOCOM, MobiHoc, ICC, GLBOECOM, DySPAN, WiOpt,
NetEcon, and WCNC. He is a senior member of the IEEE.

---------------------------------------
2pm
Title:  Large-scale highly dynamic networks: Challenges and Opportunities
Abstract:
The last two decades have witnessed unprecedented growth in
telecommunications, particularly in the area of wireless
communications. This development in telecommunications opens doors to
many sophisticated complex systems, e.g. social networks, smart grids,
intelligent transport systems and sensor networks, that previously
were not feasible.  Nowadays, we communicate using an increasingly
elaborate set of devices from phones, to tablet PCs and PDAs, to
computers. Further, an even greater number of devices (or "Internet of
things") become "intelligent" due to the capability of being able to
communicate information with the outside world. Among the most
exciting, challenging and important communications problems today are
those involving large-scale highly dynamic wireless networks,
particularly vehicular networks and smart grids. This talk will
introduce our recent work in the area of large-scale highly dynamic
wireless networks. It includes wireless localization techniques,
robust network design and optimal network design for large dynamic
systems.
Biography:
Guoqiang Mao received the Bachelor degree in electrical engineering,
the Master degree in engineering and PhD in telecommunications
engineering in 1995, 1998 and 2002 from Hubei Polytechnic University,
South East University and Edith Cowan University respectively. He
joined the School of Electrical and Information Engineering, the
University of Sydney in December 2002 where he is a Senior Lecturer
now. He has published two books and over eighty papers in refereed
journals and conference proceedings, which have been cited more than
1000 times. He has served as a program committee member in a number of
international conferences and is an associate editor of IEEE
Transactions on Vehicular Networks. His research interests include
wireless localization techniques, wireless multihop networks, applied
graph theory and its application in networking, and network
performance analysis.
---------------------------------------
3pm
Title: Spatial and Temporal Relationship for Wireless Networks
Bio:
Xinbing Wang received the B.S. degree (with hons.) from the Department of
Automation, Shanghai Jiaotong University, Shanghai, China, in 1998,
and the M.S. degree from the Department of Computer Science and
Technology, Tsinghua University, Beijing, China, in 2001. He
received the Ph.D. degree, major in the Department of electrical and
Computer Engineering, minor in the Department of Mathematics, North
Carolina State University, Raleigh, in 2006. Currently, he is a
faculty member in the Department of Electronic Engineering, Shanghai
Jiaotong University, Shanghai, China. His research interests include
resource allocation and management in mobile and wireless networks,
TCP asymptotics analysis, wireless capacity, cross layer call
admission control, asymptotics analysis of hybrid systems, and
congestion control over wireless ad hoc and sensor networks. Dr.
Wang has been a member of the Technical Program Committees of
several conferences including IEEE INFOCOM 2009-2011, IEEE ICC
2007-2011, IEEE Globecom 2007-2011.

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