Design and Implementation of OFDM system with Energy Detection Spectrum Sensing for Cognitive Radio Networks Using HDL Coder Technique

Abstract

Abstract: Spectrum sensing (SS) performs important role in cognitive radio (CR) network. The wireless networking testify a quantum leap through appearance internet of things (IoT) and applications connected with cloud information’s, and with cellular communication systems, spectrum is always a prime restriction, but still a massive bandwidth, is lost depending on improper used, influence the Quality of Services of the system. Spectrum sensing is a process used to detect the unused spectrum bands, holes, to enhance the utilization of scarce radio spectrum. The spectrum sensing merit expends more energy compared with functional blocks, as it bases on persistent detection of the attendance or non attendance of the primary user (PU). In this paper, we present FPGA architecture implementation of Energy Detection (ED) based spectrum sensing and Goodness of Fit (GoF) based spectrum sensing methods. The aim of these methods is to detect the presence of signal in cognitive radio network (CRN) environment. This scenario have been described in VHDL and implemented on Altera Cyclone II FPGA platform. We concentrated on integration of Cognitive Radio with various OFDM frameworks, while the performance is evaluated in the AWGN channel and simulated using a MATLAB. A Simulink model of the modulator and demodulator based spectrum sensing architecture is built to prove the system functionality. Probability of detection (Pd) versus Probability of false alarm (Pfa), Pd versus Signal to Noise Ratio (SNR) and Bit Error Rate (BER) versus SNR for each OFDM framework with energy detector is calculated and analyzed.