Wideband Spectrum Sensing in Cognitive Radio Networks by Using Improved Energy Detector

In cognitive radio networks, spectrum sensing is of a great importance in determining spectrum holes. In this paper, the impact of improved energy detector on the wideband spectrum sensing is considered for accurate detection of spectrum holes. For this end, wideband spectrum is sub channelized into equal non-overlapping sub-bands. Our main concern is to find the thresholds of the individual sub-bands simultaneously. By formulating the spectrum sensing problem, in terms of convex optimization one, we seek for maximizing the opportunistic aggregate throughput of cognitive users. In numerical simulation section, it is illustrated that using improved energy detector, the opportunistic aggregate throughput is improved significantly.