Channel dependant dynamic threshold control for energy detection based spectrum sensing

Energy detection based spectrum sensing, focusing on threshold design, is studied for cognitive radio networks in this paper. Our objective is to maximize the secondary user's throughput by dynamically controlling the energy detection threshold according to the instantaneous channel sate between secondary sender and receiver. An optimization problem is formulated and transformed to convex optimization problem after adding some reasonable regulations. Analytical solution is found which gives some insight on optimal threshold control policy design. Analysis and simulations show that the proposed strategy can obviously increase the throughput of secondary users while meeting the miss-detection probability request.