header
Image from OpenLibrary

Energy detection of random arrival and departure of primary user signals in cognitive radio systems / Ibrahim Atef Ibrahim Badr ; Supervised Magdy M. S. Elsoudani , Ashraf Eltholth

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ibrahim Atef Ibrahim Badr , 2016Description: 108 P. ; 30cmOther title:
  • اكتشاف إشارة المستخدم الأساسى فى أنظمة الراديو الإدراكية بواسطة قياس الطاقة فى حالة وصوله و رحيله عشوائيا [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: Energy detection (ED) is one of common spectrum sensing techniques in cognitive radio. In this thesis, analytical forms are derived for both the detection and false alarm probabilities, using the bayesian based ED scheme. The derivations were carried assuming random arrival and departure of the primary user signal during the secondary user{u2019}s sensing period. An optimal threshold is suggested to minimize the total detection error rate. The performance gain of the bayesian based ED scheme with/without using the optimal threshold is compared to the conventional ED. And comparing the proposed scheme with cyclo stationary detector for LTE SC - FDMA signal
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
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.2016.Ib.E (Browse shelf(Opens below)) Not for loan 01010110069102000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2016.Ib.E (Browse shelf(Opens below)) 69102.CD Not for loan 01020110069102000

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

Energy detection (ED) is one of common spectrum sensing techniques in cognitive radio. In this thesis, analytical forms are derived for both the detection and false alarm probabilities, using the bayesian based ED scheme. The derivations were carried assuming random arrival and departure of the primary user signal during the secondary user{u2019}s sensing period. An optimal threshold is suggested to minimize the total detection error rate. The performance gain of the bayesian based ED scheme with/without using the optimal threshold is compared to the conventional ED. And comparing the proposed scheme with cyclo stationary detector for LTE SC - FDMA signal

Issued also as CD

There are no comments on this title.

to post a comment.