A novel spectrum sensing scheduler algorithm for Cognitive Radio Networks

Abstract

Cognitive Radios' is recognized as a novel approach to improve the utilization of a precious wireless communication natural resource; the radio frequency spectrum. Historically, telecom regulators assigned fixed spectrum bands to the licensee wireless network operators, this spectrum management approach is guarantee interference free environment, except of some configurations faults or illegal usage. However, with the increasing demand for more bandwidth in the finite radio spectrum, the concept of secondary operator's was emerged, but with emphases to not influence licensed operators. Consequently, Cognitive Radio Networks (CRN) architecture enters the market as an intelligent solution to these issues, with concentration on the spectrum sensing procedures to achieve the regulatory constraint. The most successful sensing algorithms is those applying cooperation and scheduling to have better scanning information, however those algorithms are developed base on the primary network activities which is good in terms of reducing the expected interference, but it lay more computational loads on the CRN. In this paper, a novel sensing scheduler algorithm is proposed, the idea is to utilize the CRN by fairly distribute the sensing task among the sensors, then utilizing the radio spectrum shared with the primary networks.