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Many earlier works documented ANN capabilities for remote sensing spectra on relatively modest scales: few (5 to 12) classes, low-to-moderate number of channels (e.g., [4 17]).
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First, novel spectrum management functionalities such as spectrum sensing, spectrum sharing, and spectrum decision, and spectrum mobility are introduced from the viewpoint of a network requiring distributed coordination.
Different approaches are classified into spectrum sensing, spectrum management and QoS, and network.
The papers are clustered to topics on spectrum management; network management; trials, test beds, and tools; PHY and sensing; spectrum management.
The FBSs are equipped with cognitive radio with spectrum sensing, spectrum management, spectrum sharing, and spectrum mobility functionalities, as defined in [7].
The literature of spectrum management in wireless cognitive networks is affluent and covers various aspects such as spectrum sensing, spectrum access, and spectrum sharing.
Years ago, the studies in cognitive radio networks existed mainly in the physical and medium access control layers, such as spectrum sensing, spectrum sharing, and spectrum management.
As already explained, in energy-detection-based sensing, spectrum is typically sensed in a single stage by sequentially and exhaustively examining the occupancy of consecutive frequency bins.
To achieve efficient spectrum utilization, cognitive radio requires a robust spectrum sensing and spectrum sharing scheme.
To improve the performance of spectrum sensing, cooperative spectrum sensing (CSS), where individual SUs sense the spectrum and send the information to a fusion center to obtain the final decision, has been studied extensively [10, 13 15].
In this paper we are proposing a wavelet approach for spectrum sensing and spectrum hole identification.
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