Characterizing the interaction between routing and MAC protocols in ad-hoc networks
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
DIMSUMNet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access
WOWMOM '05 Proceedings of the Sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks
Optimizing Protocol Interaction Using Response Surface Methodology
IEEE Transactions on Mobile Computing
Evaluation of cross-layer interactions for reconfigurable radio platforms
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
A cautionary perspective on cross-layer design
IEEE Wireless Communications
Factor interaction on service delivery in mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Optimizing for sparse training of Cognitive Radio networks
First International Workshop on Cognitive Wireless Networks
Grey systems theory applications to wireless communications
Analog Integrated Circuits and Signal Processing
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Advances in process technology, manufacturing, and architecture have ushered in an age of faster, smaller, and cheaper electronic devices. Emerging processor technology has made it possible to migrate applications that were traditionally implemented in custom silicon to general purpose processors (GPP). In the area of wireless communication, this transition has given birth to the field of software-defined and cognitive radio. Theses smart radios, or Cognitive/Sofware-defined Radios (C/SDR), can potentially make more efficient use of the available RF spectrum and adapt to a wide range of protocols and environments. One of the key benefits of having a C/SDR is its ability to change communication parameters in response to changes in application needs and the radio frequency (RF) landscape. While understanding the effects of changing communication parameters is a critical precursor to the development of a predictive model, it is not the focus of this paper. This research builds upon our investigation of the effects of varying these communication parameters through the development of a predictive model. This model allows a C/SDR to dynamically modify its configuration in order to improve system performance. "The views expressed in this article are those of the author and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government."