Improved Spectrum Sensing Technique in Cognitive Radio for 5G Massive System
Keywords:
BER, Cognitive Radio, Compressive Sensing, MIMO-OFDMAbstract
Error free transmission and increase in multimedia applications is one of the main aims of wireless communication. MIMO-OFDM is the system to improve the reliability of the WiMAX system. The fundamental tasks that are used in the Cognitive Radio (CR) networks are spectrum shaping capability and multi carrier systems. In these structures activation of fundamental (primary) users will generate a defined number of sub carriers in the secondary users. In this paper, the design of Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system using compressive Sensing Cognitive Radio Network is presented. A compressive is a spectrum-sensing method that detects the free portions of the primary user’s spectrum and allocates it to secondary users. It derives from cross-correlating an unknown signal with known ones to detect the unknown signal’s presence based on the basis of its Signal to Noise Ratio (SNR). Accordingly, an efficient scheme is developed here that is having better SNR vs Bit Error Rate (BER) against a different MIMO-OFDM system.
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