Cognitive NetworksLuiz A. DaSilva and Allen B. MacKenzie, Virginia Tech, USA
This tutorial will provide attendees with a critical understanding of the current research on cognitive networks, networks capable of perceiving current network conditions and then planning, learning and acting according to end-to-end goals. Cognitive networks are motivated by the complexity, heterogeneity, and reliability requirements of tomorrow’s networks, which are increasingly expected to self-organize to meet user and application objectives. We explore the links between cognitive networks and related research on cognitive radios and cross-layer design. By defining cognitive networks, examining their relationship to other technologies, discussing critical design issues, and providing a framework for implementation, we aim to establish a foundation for further research and discussion.
1. Motivation for Cognitive Radios and Cognitive Networks
We discuss the main drivers for cognitive radios and the issues that emerge when these radios are expected to interact in a network.
2. Architectures for a Cognitive Network
We review competing proposals for an architecture for a cognitive network and identify common traits.
3. Cognition = Learning + Reasoning + Planning
We explore the underlying mechanisms for the cognitive process and the tradeoffs involved in selecting and implementing these mechanisms.
4. Critical Design Decisions
We explore the tradeoffs regarding selfish versus altruistic behavior of cognitive nodes, how much control over the network each node should have, and how much information the cognitive engine needs to make sound decisions that benefit both the individual node and the network as a whole.
5. Case study: Distributed, Dynamic Spectrum Access
We present a case study for the application of the cognitive network concept to the problem of distributed and dynamic spectrum access.
6. Future Directions
We discuss the limitations and challenges of current developments in cognitive networks and outline some future directions of research.
7. Summary and Conclusions
Audience and Prerequisite Knowledge
Our potential audience includes academic, industrial, and government researchers in the wireless communications and networking fields who have an interest in cognitive radios and networks. The pre-requisites for the tutorial are a working knowledge of concepts from wireless communications and networking and basic understanding of the cognitive radio concept.
Biographies of Presenters
Luiz A. DaSilva joined Virginia Tech’s Bradley Department of Electrical and Computer Engineering in 1998, where he is now an Associate Professor. He received his Ph.D. in Electrical Engineering at the University of Kansas and previously worked for IBM for six years. Dr. DaSilva's research focuses on performance and resource management in wireless and mobile ad hoc networks. He is currently researching the application of game theory to model mobile ad hoc networks (MANETs), topology control, cooperation and reputation management in heterogeneous ad hoc networks, energy-aware multicast route discovery, and cognitive networks. Dr. DaSilva has published over sixty refereed papers in journals and major conferences in the communications and computer areas. Current and recent research sponsors include the National Science Foundation, the Office of Naval Research, Booz Allen Hamilton, the U.S. Customs Services, Intel, and Microsoft Research, among others. He is a member of the Wireless @ Virginia Tech research group. Dr. DaSilva is a Senior Member of IEEE, a member of the ASEE and of ACM, and a past recipient of the ASEE/IEEE Frontiers in Education New Faculty Fellow award. In 2006, he was named a College of Engineering Faculty Fellow at Virginia Tech. He frequently teaches distance and distributed learning courses on network architecture and protocols and on mobile and wireless networking.
Allen B.MacKenzie is an Assistant Professor of Electrical and Computer Engineering at Virginia Tech. He received his Ph.D. in Electrical and Computer Engineering in May 2003 from Cornell University with a dissertation entitled “Game Theoretic Analysis of Power Control and Medium Access Control.” Dr. MacKenzie’s research focuses on applications of game theory to wireless communications and networking, cognitive radio, and cognitive networks. Current research sponsors include the National Science Foundation and the National Institute of Justice. Dr. MacKenzie is a member of the IEEE, ACM, and ASEE. While at Cornell, MacKenzie was an NSF Graduate Research Fellow. In 2006, he received the Virginia Tech College of Engineering Dean’s Award for Outstanding New Assistant Professor.