[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-25-11-2022-494

Title : A NOVEL ALGORITHM TO IMPROVE DETECTION ACCURACY IN COGNITIVE RADIO NETWORKS
K. Annapurna1, S. Lahari2, G. Medhasritha3, R. Gopi4, B. Seetha Ramanjaneyulu5

Abstract :

To address the problem of inefficient use of radio frequency spectrum by licensed users and spectrum scarcity problem of forthcoming applications cognitive radio networks is one of the best solutions. Cognitive radio network enables secondary users to utilize licensed spectrum in the absence of primary users. The most crucial and fundamental step in cognitive radio networks is spectrum sensing. Energy detection is the simple, efficient and most feasible spectrum sensing technique, where threshold plays a key role. The threshold selection should be optimum to achieve better accuracy in taking decision of primary users’ presence after sensing. Hard fusion technique is simple and requires less bandwidth but less accurate. Soft fusion technique is more accurate but needs more bandwidth. The proposed algorithm divides the energy statistics into four sub-regions. Each secondary user sends a two-bit judgement to the fusion center in the proposed triple threshold mechanism. Simulation results proved that the suggested triple threshold algorithm performed better with respect to cooperative spectrum sensing approaches using various fusion rules.