A Predictive Model for Cognitive Radio
COLORADO UNIV AT BOULDER DEPT OF COMPUTER SCIENCE
Pagination or Media Count:
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. Thesesmart radios, or CognitiveSoftware-defined Radios CSDR, 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 CSDR 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 affects of varying these communication parameters through the development of a predictive model This model allows a CSDR to dynamically modify its configuration in order to improve system performance.
- Radio Communications