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The policy-managed radio model offers a way to force cognitive radios to comply with transmission restrictions and regulations. Policies that implement radio regulations are written in a policy language, and used by the policy engine to approve or deny transmission parameters. Since decision speed is one of the primary design requirements of cognitive radios, policy engines and reasoners can easily...
The Wireless @ VT research group has embarked on a effort to develop a unique testbed named the Virginia Tech cognitive radio network (VT-CORNET), for the development, testing, and evaluation of cognitive engine techniques and cognitive radio network applications. An open cognitive radio network testbed provides the infrastructure for researchers at Virginia Tech and partner institutions to evaluate...
Typical wireless communication and signal processing education involves, initially mastering theory and then transitioning to studying specific protocols and applications. We present a physical cognitive radio network testbed, developed at Virginia Tech that has interfaces that enable it to be an educational resource using open source software and a simple component-based modeling structure. This...
Blind equalization and automatic modulation classification (AMC) have been of significant importance for cognitive radios when the receiver has no information about the channel or modulation type. Choosing an appropriate equalizer is difficult in the absence of channel information. In this paper, an AMC based on cyclostationary feature detection and a predictor-based recursive blind equalizer is used...
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