Retraction Notice: Designing Dual Level Spectrum Sensing Mechanism for Cognitive Radio
Sundus Naseer Mohammed · 2022
The aim of this paper is to design dual level spectrum sensing mechanism for cognitive radio. Dual level spectrum sensing mechanism access three major key components of cognitive radio operations. The proposed design for dual level spectrum sensing facilitates the detection of the primary signal in physical (PHY) layer to find the spectrum throughput for PU and SU. The throughput of CR for Primary User (PU) with maximum throughput being recorded at 0.7934 while maximum throughput for Secondary User (SU) being recorded at 0.7679. So, we will design a dual level spectrum sensing mechanism for solving this problem. The probability for sensing where probability of detection (PD) is predicted at defined range of 690km with as estimated accuracy of 83.56% while probability of false alarm (PFA) is predicted at defined range of 230-km with an estimated accuracy of 81.39%. This conflicting but interrelated issue is investigated over three stages for the purpose of solving with a cross-layer model with MAC and PHY layers for cognitive radio network while reducing the collision effect concurrently with an 92.76% for both cross-layers. For the implementation of this research, MATLAB 2019b would be forwarded in use as increasing demand of augmenting the bandwidth in cognitive radios has actuated the evolutionary technology. The dual level spectrum sensing of the physical layer is integrated with the access strategy of the cognitive radios for improving both the throughput performance and interference protection of cross-layers with greater accuracy.