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Optimum spectrum sensing techniques for cooperative cognitive radio networks to limit interference on primary system / Ramez Mohamed Elaskary ; Supervised Abdel Wahab Fayez Hassan , Yasmine Aly Fahmy , Ali Mohammed Elgendy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ramez Mohamed Elaskary , 2014Description: 87 P. : charts ; 30cmOther title:
  • التقنياتَ المثلى لكشف الطيف لشبكاتِ الراديو الإدراكية التعاونية للحد من التداخل على النظامِ الأساسى [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics And Communications Summary: Cognitive radio (CR) is an effective way to improve the utilization of spectrum source. Spectrum sensing is playing an important role in cognitive radio network (CRN) to detect the presence of the primary users (PUs). One of the most critical issues in spectrum sensing is the interference on PU. In this work, a novel optimal voting rule is proposed to minimize the Bayes risk function in cooperative spectrum sensing. Furthermore, an algorithm to optimize the energy detection threshold for the CR users for any fusion rule is presented. On the other hand, an algorithm that determines the optimum fusion rule and optimum threshold that minimizes the false alarm probability such that the missing probability under constraint (bounded error) is suggested. Moreover, the local energy detection threshold in four cases is studied (for AWGN channel at large and small time bandwidth product, and for Raleigh fading channel at large and small time bandwidth product)
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2014.Ra.O (Browse shelf(Opens below)) Not for loan 01010110064205000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2014.Ra.O (Browse shelf(Opens below)) 64205.CD Not for loan 01020110064205000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics And Communications

Cognitive radio (CR) is an effective way to improve the utilization of spectrum source. Spectrum sensing is playing an important role in cognitive radio network (CRN) to detect the presence of the primary users (PUs). One of the most critical issues in spectrum sensing is the interference on PU. In this work, a novel optimal voting rule is proposed to minimize the Bayes risk function in cooperative spectrum sensing. Furthermore, an algorithm to optimize the energy detection threshold for the CR users for any fusion rule is presented. On the other hand, an algorithm that determines the optimum fusion rule and optimum threshold that minimizes the false alarm probability such that the missing probability under constraint (bounded error) is suggested. Moreover, the local energy detection threshold in four cases is studied (for AWGN channel at large and small time bandwidth product, and for Raleigh fading channel at large and small time bandwidth product)

Issued also as CD

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