Survey on Energy Efficient Low power Spectrum Sensing Techniques in Cognitive Radio

Due to scarcity of spectrum Cognitive Radio (CR) is one of the most challenging recently emerged fields of Wireless Networks. Spectrum decision is the capability of a cognitive radio (CR) to select the best accessible spectrum band to satisfy secondary users' (SUs'), quality of service (QoS) requirements, without causing harmful interference to licensed or primary users (PUs). It’s solved the problem by using its sharp sensing and adaptation to the surroundings. It locates the vacant radio spectrum which is allocated to the Primary users and helps to reorganize the unused spectrum to Secondary users thereby recovering the deployment of the spectrum. In this paper we focus on various low power energy efficient techniques in spectrum detection and boundaries faced by areas such as wireless sensor networks, vehicular networks, smart grid, healthcare, and public safety networks and placed interest in the improvements made to the consumption of the spectrum as well as the quality of communication, which makes these networks more competent. An review paper on CR along with its various research techniques are presented in the paper. Cognitive Radio technique like Energy Detection, Cyclostationary Feature Detection, Matched Filter, Wavelet Transform, Multiple antenna, etc. available in literature. Keywords—cognitive radio, spectrum sensing, low power