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Cooperative spectrum sensing significantly improves the detection reliability of a cognitive radio network. In cooperative spectrum sensing, cognitive radio nodes send their hard decisions/detections to the fusion center via a control channel. Traditional control channels are bandwidth constrained, and a large number of hard decisions to the fusion center may saturate the control channel, thereby degrading the performance of the network. In this paper, we consider a cooperative spectrum sensing scheme, where each cognitive radio node performs a fixed sample sensing test and sends a hard decision to the fusion center via a common control channel. The fusion center collects the hard decisions from all cognitive radio nodes to form an observation vector, and performs a sequential probability ratio test to make the final decision. We term this sensing scheme as hybrid spectrum sensing. An optimization problem is …