Enhanced Detectability Using Multi-Cycle Cyclostationary Detector in Cognitive Radio

Abstract

RF spectrum decision is very crucial in cognitive radio. With the concept of interconnecting society by IoT, the spectrum demand has further raised exponentially and now it becomes very important to meet the problem of spectrum scarcity. Radio spectrum is a scarce commodity and due to shortage of radio spectrum, IoT networking has become very challenging in its implementation. Cyclostationary detection scheme, to able to sense RF spectrum and accordingly make decision to achieve good QoS and interference free communication is drawing the interest of researchers these days. In this paper, we propose to embed pilot subcarrier in OFDM signal to build the cyclic pattern in the signal of interest. This periodicity pattern is harnessed at the receiver end. Evaluation of this periodicity pattern forms the base regarding RF spectrum availability. The main aim of this paper is to show how cyclostationary detector performance can be improved. Pilot subcarriers are mainly used in this paper as a channel estimation parameter using different techniques to increase the detectability of detector.