Informationally Efficient Multi-User Communication
CALIFORNIA UNIV LOS ANGELES DEPT OF ELECTRICAL ENGINEERING
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The rapid increase in the demand for data rate over wired and wireless communication networks has led to a rethinking of the traditional network architecture and design principles. In fact, communication systems are inherently informationally decentralized competitive environments, where multiple devices executing a variety of applications and services need to locally adapt their transmission strategies based on their available information and compete for scarce networking resources. The concepts and techniques that have dominated multi-user communication research in recent years are not well suited for these informationally decentralized environments. Specifically, most existing research has focused on two extreme multi-user interaction scenarios, the complete information scenario with a common system-wide objective e.g. Pareto optimality and the private information scenario with conflicting objectives e.g. Nash equilibrium NE.
- Computer Systems