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Iranian Journal of Electrical and Electronic Engineering، جلد ۲۰، شماره ۱، صفحات ۳۰۲۰-۳۰۲۰
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عنوان انگلیسی Spectrum Sensing Optimization Using De-noising and Energy Detection
چکیده انگلیسی مقاله Cognitive radio (CR) is an effective technique for dealing with scarcity in spectrum resources and enhancing overall spectrum utilization. CR attempts to enhance spectrum sensing by detecting the primary user (PU) and allowing the secondary user (SU) to utilize the spectrum holes. The rapid growth of CR technology increases the required standards for Spectrum Sensing (SS) performance, especially in regions with low Signal-to-Noise Ratios (SNRs). In Cognitive Radio Networks (CRN), SS is an essential process for detecting the available spectrum. SS is divided into sensing time and transmission time; the more the sensing time, the higher the detection probability) and the lower the probability of a false alarm). So, this paper proposes a novel two-stage SS optimization model for CR systems. The proposed model consists of two techniques: Interval Dependent De-noising (IDD) and Energy Detection (ED), which achieve optimum sensing time, maximum throughput, lower and higher. The Simulation results demonstrated that the proposed model decreases the, achieves a higher especially at low SNRs ranging, and obtains the optimum sensing time, achieving maximum throughput at different numbers of sensing samples (N) and different SNRs from -10 to -20 dB in the case of N = 1000 to 10000 samples. The proposed model achieves a throughput of 5.418 and 1.98 Bits/Sec/HZ at an optimum sensing time of 0.5ms and 1.5ms respectively, when N increases from 10000 to 100000 samples. The proposed model yields an achievable throughput of 5.37 and 4.58 Bits/Sec/HZ at an optimum sensing time of 1.66ms and 13ms respectively. So, it enhances the SS process than previous related techniques.
کلیدواژه‌های انگلیسی مقاله CR, IDD, Optimization, Optimum Sensing Time, Maximum Throughput
نویسندگان مقاله | mohamed khalaf
Mohamed Khalaf , Department of Electronics and Communications Engineering, Modern Academy for Engineering and Technology, Maadi, Egypt, mohamedkhalafabdelbadee@gmail.com


| Ahmed fawzy
Ahmed Fawzi , Department of Electronics and Communications Engineering, Modern Academy for Engineering and Technology, Maadi, Egypt, Ahmed.fawzy@eng.modern-academy.edu.eg


| Ahmed yahaya
Ahmed Yahya, Electrical Engineering Department, Faculty of Engineering (Cairo), Al-Azhar University, Cairo, Egypt dr.ahmedyahya@azhar.edu.eg
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-4777-2&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده 5-Communication Systems
نوع مقاله منتشر شده Research Paper
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