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Yongle Wu (University of Maryland), "Game-Theoretic Strategies for Dynamic Behavior in Cognitive Radio Networks" Advisor: Prof. K. J. Ray Liu (2010)
Cognitive radio technology is a new revolutionary communication paradigm which allows flexible access to spectrum resources and leads to efficient spectrum sharing. Different from traditional communication networks, cognitive radio networks are often distributed, heterogeneous, adaptive, and intelligent in nature, posing new challenges to research. Therefore, game theory has naturally become an important tool. In this dissertation, the author has developed game-theoretic frameworks to model, study, and analyze the user interaction and dynamic behavior in cognitive radio networks, with the goals to improve system performance by stimulating selfish users and to enhance network security by suppressing malicious users. Specifically, for selfish users, the author designed game-theoretic mechanisms to provide them with incentives to share spectrum resources in a cooperative manner and to be self-enforced to reveal true private information such as channel gains. For malicious users who are capable of adapting their attack strategies, the author applied game theory to understand their goals, and developed effective defense strategies accordingly.
Nomination/Position | Deadline |
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Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing | 17 November 2024 |
Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
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