Spectrum Sensing for Cognitive Radio Users using Constant Threshold Range in Energy Detector
Spectrum Sensing has an important role in Cognitive Radio Network (CRN). Different methodologies have been proposed in the literature for spectrum sensing. Energy detector method is more practical and less in complexity. This paper presents analysis of energy detection algorithm in different scenarios with different parameters to detect presence or absence of Primary User (PU). The energy detection threshold has been used as Constant Threshold Range (CTR) to reduce the trade-off between Probability of False Alarm Pfa and Probability of miss detection Pmd. The Receiver Operating Curves (ROC) has been presented by simulating Spectrum Sensing scenarios under fading and non-fading environments. It is also shown that theses curves can be further improved by Cooperative Spectrum Sensing (CSS) technique. The hardware implementation has also been presented by receiving real time signals using Universal Software Radio Peripheral (USRP) and GNU Radio, which has verified the simulated results.
Keywords: Cognitive Radio, Spectrum Sensing, Energy Detection, Constant False Alarm Rate, Constant Threshold Range.
Download Full-Text
ABOUT THE AUTHORS
Tallataf Rasheed
Tallataf Rasheed has received her B.S. degree in Electrical Engineering from Government College University Faisalabad and currently has enrolled in M.S. Electrical Engineering in National University of Sciences and Technology, Military College of Signals, Rawalpindi, Pakistan. Her current research interest includes Software Defined Radio and Cognitive Radio.
Adnan Rashdi
Adnan Rashdi received his B.Sc, M.Sc and Ph.D degrees in Electrical Engineering from the University of Engineering & Technology (UET), Lahore, Pakistan in 1994, 2003 and 2008 respectively. His research interest includes software defined radios, cognitive radios, wired and wireless multiuser communication systems, signal processing and optimization techniques. He has published many research papers in international journals and conference proceedings. He is a member of IEEE USA.
Ahmad Naeem Akhtar
Ahmad Naeem Akhtar received his B.S. and M.S degree from National University of Sciences and Technology, Military College of Signals, Rawalpindi, Pakistan. He is currently enrolled in Ph. D at same university. His research interests are Software defined radio and Cognitive Radio.
Tallataf Rasheed
Tallataf Rasheed has received her B.S. degree in Electrical Engineering from Government College University Faisalabad and currently has enrolled in M.S. Electrical Engineering in National University of Sciences and Technology, Military College of Signals, Rawalpindi, Pakistan. Her current research interest includes Software Defined Radio and Cognitive Radio.
Adnan Rashdi
Adnan Rashdi received his B.Sc, M.Sc and Ph.D degrees in Electrical Engineering from the University of Engineering & Technology (UET), Lahore, Pakistan in 1994, 2003 and 2008 respectively. His research interest includes software defined radios, cognitive radios, wired and wireless multiuser communication systems, signal processing and optimization techniques. He has published many research papers in international journals and conference proceedings. He is a member of IEEE USA.
Ahmad Naeem Akhtar
Ahmad Naeem Akhtar received his B.S. and M.S degree from National University of Sciences and Technology, Military College of Signals, Rawalpindi, Pakistan. He is currently enrolled in Ph. D at same university. His research interests are Software defined radio and Cognitive Radio.
