Abstract

The increase in demand of the available spectrum has led to scarcity in the spectrum which is one of the current disadvantage that impairs further development in the field of wireless communication. The presence of vacancies in the radio spectrum requires fast, robust and accurate methods for their detection. Here, the vacancies are formed when the licensed user does not use his spectrum at a particular instant of time. This paper aims in implementing the Energy Detection Technique for Spectrum Sensing using open source simulation tool NS3. The main purpose of the proposal is to obtain comparative analysis of Energy Detection technique for different modulated signals which gives information about the presence or absence of Primary User (PU). The signals used in this paper for analysis are Orthogonal Frequency Division Multiplexing (OFDM), Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK) and Quadrature Amplitude Modulation (QAM). Simulation results show that probability of detection (Pd) can be increased at low Signal to Noise Ratio (SNR).