eprintid: 921 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/09/21 datestamp: 2023-11-09 15:49:04 lastmod: 2023-11-09 15:49:04 status_changed: 2023-11-09 15:38:42 type: conference_item metadata_visibility: show creators_name: Adoum, B.A. creators_name: Mossa, A.M.A. creators_name: Jeoti, V. title: Discrete wavelet packet transform based multiresolution spectrum sensing using cyclostationary feature detector ispublished: pub keywords: Cognitive radio; Cyclostationary; Discrete wavelet packet transforms; MRSS; Single frequency network; Spectrum sensing, Computer graphics; Digital radio; Discrete wavelet transforms; Feature extraction; Grinding (machining); Multimedia systems; Packet networks; Radio systems; Signal detection; Telecommunication traffic; Timing jitter; Wavelet analysis; Wireless telecommunication systems, Radio note: cited By 3; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196 abstract: The demand for wireless communication has grown remarkably in the last year, consequently raising the problem of spectrum scarcity. In this context, cognitive radio is an emerging technology that aims to overcome that scarcity, which is one of the most challenging problems in modern wireless communication. Among its fundamental function, the most important is the spectrum sensing which require precise accuracy and low complexity. Thus, various signal detection methods have been proposed for multiresolution spectrum sensing (MRSS) for cognitive radio. None of these techniques have been used in wavelet based cyclostationary feature detector. To achieve that we suggest a discrete wavelet packet transform based MRSS using cyclostationary feature detector in the context of IEEE 802.22 Wireless Regional Area Network (WRAN) for cognitive radio to classify and identify the primary signal either Digital Video Broadcasting-Terrestrial (DVB-T) or wireless microphone signal and locate a hole which can be used by unlicensed or cognitive radio user. The performance of the proposed scheme is evaluated in comparison with energy detector. The evaluation result clearly shows that the performance of the proposed scheme is superior to energy detector performance especially in the case of noise uncertainty. date: 2010 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952762321&doi=10.1109%2fICIAS.2010.5716118&partnerID=40&md5=d6c394ea4b309d4ea8aa9501f8727154 id_number: 10.1109/ICIAS.2010.5716118 full_text_status: none publication: 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 place_of_pub: Kuala Lumpur refereed: TRUE isbn: 9781424466238 citation: Adoum, B.A. and Mossa, A.M.A. and Jeoti, V. (2010) Discrete wavelet packet transform based multiresolution spectrum sensing using cyclostationary feature detector. In: UNSPECIFIED.