Effect of spectrum occupancy on the performance of a real valued neural network based energy detector

• Main Authors: Onumanyi, Adeirza J., Onwuka, Elizabeth Nonyelu, Aibinu, Abiodun Musa, Ugweje, Okechukwu, Salami, Momoh Jimoh Eyiomika
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2014
• Subjects: Q Science (General)
• Online Access: http://irep.iium.edu.my/38900/1/momoh2.pdf; http://irep.iium.edu.my/38900/; http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6889586

In this paper, a newly proposed Real Valued Neural Network (RVNN) based Energy Detector (ED) is presented for Cognitive Radio (CR) application. With little available on the performance of EDs in varying spectrum occupancy conditions, we provide a study to understand how occupancy variation affec...