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Cognitive radio systems require often a capability to recognize used waveforms either for communications or detection purposes. This is a shared problem with many military signal analysis systems. In this paper we present a study of multi-class signal classification based on automatic modulation recognition through Support Vectrom Machines (SVM). We have implement a simulated model of an SVM signal...
Cognitive radios are slowly becoming a reality. Besides the need for hardware reconfigurability and the capability to sense spectrum opportunities, adaptability in the MAC designs are required so that the wireless communication systems can support cognitive radio functionalities. In this demo paper, we propose a MAC design framework which enables fast composition of MAC protocols which are best fitted...
Cognitive Radio research has been focusing mostly on Dynamic Spectrum Access concepts, and one of the key architectural components there is the capability to express and regulate Policies. In this paper we will report on our work of extending the existing policy language and server concepts to a wider context. As cognitive radios will eventually become software defined radios, there is a number of...
In this paper we verify and study through implementation our earlier game theory algorithm for load balanced dynamic channel assignment. In our algorithm every cognitive radio is initially assigned a channel in a random fashion. The radios periodically evaluate a cost function related to a Quality of Service (QoS) parameter and may change the transmission channel with probability proportional to the...
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