Efficient Spectrum Sensing For Cognitive Networks

Abstract

The spectrum is one of the major critical radio reserves, whose organization in imminent wireless communication networks will be a difficult mission. The static allocation of frequencies to different systems and operators causes inefficiency. So, dynamic spectrum access is proposed to efficiently utilize the available spectrum. Cognitive radio is the facilitating expertise for the dynamic spectrum access. Cognitive radio is being flaunted as the huge bang in wireless communication. A huge division of the usability of cognitive radio rests upon its capability to notice white spaces in the spectrum, i.e. to perceive the occurrence of the licensed or PU. But the sensing system has the following issues to make it to practically usable. newline1. The accuracy /reliability of detection newline2. Security for physical layer attacks newline3. Computation complexity of sensing algorithm. newlineThe inaccurate sensing will result in large interference at network level and reduces the throughput of the PU nodes. The fading, noise in the environment affects the sensing accuracy. So there is a need of rigid sensing algorithm that will detect white space correctly. There are various physical layer attacks that make wrong detection in sensing like PUAE etc., so, there must be some sort of mechanism to detect such attacks and provide accurate sensing. The computation intricacy of the algorithm is deciding the sensing time and in-turn determine the usable time of the free spectrum. So we want to provide less computational algorithm. But there is always tradeoff between the accuracy and computational time. So we have to develop a low complexity algorithm that will optimally give require accuracy. Keeping the above issues in sensing, here this research work proposes a research that will involve the development of methods, methodology and algorithms to do reliable spectrum sensing even in presence of channel impairment s. It also focuses on the development of mechanisms to detect various security attacks and development of the mitigate mechanism for it. Another aspect of the research is proposed as the computational complexity reduction of the sensing algorithm with minimal or optimal reduction of sensing accuracy. newline newline