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Titlebook: Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks; Hrishikesh Venkataraman,Gabriel-Miro Muntean Book

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Bandwidth-Efficient Cooperative Spectrum Sensingng. In the initial setup phase that the CR users are performing spectrum sensing, idle communication channels without the licensed user signal have not been well identified and the reporting bandwidth is quite limited. In this chapter, bandwidth-efficient cooperative spectrum sensing in a multiuser
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Signature Detection for Context Awareness in Cognitive Radio Networksutilization through the use of a software-defined radio platform. CR devices will be capable of adapt themselves to the environment and frequency band of interest providing reliable communication anywhere and anytime. The methods used by CR devices to detect the available spectrum are grouped in spe
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Generalized Eigenvalue Based Spectrum Sensingreferred to as Generalized Mean Detector (GMD) has been introduced. In this context, we generalize the detectors based on the eigenvalues of the received signal covariance matrix and transform the eigenvalue based spectrum sensing detectors namely: (i) the Eigenvalue Ratio Detector (ERD) and two new
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Signal Separation for Cognitive Wireless Communicationson point of view for cognitive wireless communications. We study the cognitive receiver structure which can recover the desired signal in the presence of interference, which we call signal separation. A path for better signal separation capability for resource efficiency, in order to utilize the ele
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Towards Cognitive Networking: Automatic Wireless Network Recognition Based on MAC Feature Detectionents a recognition method based on MAC sub-layer features. Based on the fact that every wireless technology has its own specific MAC sub-layer behaviour, as defined by the technology Standard, network recognition can be reached by exploiting this particular behaviour. From the packet exchange patter
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