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Signal classification plays an important role in spectrum sensing for cognitive radios to identify and avoid interference from other wireless devices. In this paper, we study a network of cognitive radios that jointly perform signal classification via cooperation. We propose a simple but effective linear cooperation scheme to fuse pre-processed measurements collected from spatially distributed cognitive...
Cognitive radios rely on spectrum sensing to determine the presence of the primary system. The secondary system should not only sense the primary system but also exploit the transmission opportunities that are available in the spatial, spectral and temporal domains. Additional information regarding the location of the primary transmitter and receivers helps utilize the spatial opportunities. In this...
Prior work in implementing spectrum sharing scenarios for cognitive radio networks has relied on the unlikely assumption of full cross-channel knowledge made available to the cognitive transmitter (CT) and/or the target primary receiver (PR). However, estimation of this cross-channel knowledge is not only important from a practical stand-point, but also in limiting the real interference power felt...
Opportunistic spectrum access (OSA) is a key technique for the secondary user (SU) in a Cognitive Radio network to transmit over the "spectrum holes" unoccupied by the primary user (PU). Most existing work on the design of OSA has assumed a non-reactive (NR) PU model, i.e., the PU transmission on-off status is independent of the SU access policy, which may not be practical. In this paper,...
Spectrum sensing plays a vital part in cognitive radio (CR) communication. In this paper, we consider a novel proactive sensing scheme that helps combat the hidden-node problem, while increasing certainty in the decision of spectrum occupancy. We extend this scheme by limiting the power of the probing signal used in carrying out proactive detection, with constraints set based on the interference threshold...
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