http://www.jsac.ucsd.edu/Calls/GameTheorycfp.pdf)
IEEE Journal on Selected Areas in Communications (JSAC)
Special issue on "Game Theory in Communication Systems"
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Game theory is a formal framework with a set of mathematical tools to
study the complex interactions among interdependent rational players.
For more than half a century, game theory has led to revolutionary
changes in economics, and has found important applications in politics,
sociology, psychology, and transportation. Recently, there has been a
surge in research activities that employ game theory to model and
analyze a wide range of problems in modern communication systems. This
is mainly due to (1) the emergence of the Internet as a global platform
for computation and communication, which has sparked the development of
large-scale, distributed and heterogeneous communication systems; (2)
the deregulation of the telecommunication industry and the dramatic
improvement in computation power, which make it possible for various
network entities to make independent and selfish operational decisions;
and (3) the need for robust designs against uncertainties modeled as
games between the user and a malicious nature. Game theory can help us
better understand various complicated communication systems and design
more efficient, scalable and robust communication protocols and resource
allocation algorithms.
The aim of this issue is to bring together the state-of-the-art research
contributions that address the major opportunities and challenges of
applying game theory to understanding and designing modern communication
systems, with emphasis on both new analytical techniques and novel
application scenarios. We seek original completed and unpublished work
not currently under review by any other journal/magazine. Topics of
interest include (but are not limited to):
* Game theoretical analysis/design of communication networks
- Wireless resource allocation
- DSL spectrum management
- Network pricing
- Peer-to-peer and overlay networks
- Medium access control, routing, and congestion control
- Information theoretical analysis
- Cognitive radio networks
- Security and privacy
* Minimax robustness in communication systems
- Minimax/maximin formulations
- Worst-case robust designs
- Saddle-point optimizations
- H-infinity designs
* Emerging game-theoretical models in communication systems
- S-modular and potential games
- Stackelberg and Wardrop equilibria
- Coalition games and Nash bargaining models
- Multi-stage and repeated games
- Incentive compatible mechanism design (e.g., auction)
* General game-theoretic methodologies and techniques
- Efficiency loss compared with optimization model (i.e ., price of
anarchy)
- Games of imperfect or asymmetric information
- Effects of bounded rationality
- Learning mechanisms in games
- Computation of Nash, correlated, and market equilibria
- Preference elicitation and winner determination in combinatorial
auctions
Prospective authors should follow the IEEE J-SAC manuscript format
described in the Information for Authors
(http://www.jsac.ucsd.edu/Guidelines/info.html ). All papers should be
submitted in the PDF format (less than 1Mbyte in file size after
compression) to EDAS (tentative submission plan, might change later),
according to the following timetable:
Manuscript Submission: August 1, 2007
Acceptance Notification: January 10, 2008
Final Manuscript Due: April 1, 2008
Publication: 4th quarter 2008
Guest Editors:
* Jianwei Huang, Dept. of Electrical Engineering, Princeton University
* Daniel P. Palomar, Dept. of Electronic & Computer Engineering, Hong
Kong University of Science & Technology
* Narayan B. Mandayam, Dept. of Electrical & Computer Engineering,
WINLAB, Rutgers University
* Stephen B. Wicker, School of Electrical & Computer Engineering,
Cornell University
* Jean Walrand, Dept. of Electrical Engineering & Computer Sciences,
University of California, Berkeley
* Tamer Basar, Dept. of Electrical & Computer Engineering, CSL, UIUC
-------
Jianwei Huang
Postdoctoral Research Associate
Department of Electrical Engineering
Princeton University
http://www.princeton.edu/~jianweih/ <http://www.princeton.edu/%7Ejianweih/>
jianweih@princeton.edu <mailto:jianweih@princeton.edu>