eprintid: 873 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/00/08/73 datestamp: 2023-11-09 15:49:01 lastmod: 2023-11-09 15:49:01 status_changed: 2023-11-09 15:38:38 type: conference_item metadata_visibility: show creators_name: Mossa, A.M. creators_name: Jeoti, V. title: The performance of cyclostationarity-based WRAN classification approach in multipath fading channel ispublished: pub keywords: Classification; Cognitive radio; Cyclostationarity; TV-PAL; Wireless microphone; WRAN, Computer applications; Fading (radio); Fading channels; Industrial electronics; Microphones; Multipath propagation; Radio systems; Spectroscopy, Radio note: cited By 2; Conference of 2010 International Conference on Computer Applications and Industrial Electronics, ICCAIE 2010 ; Conference Date: 5 December 2010 Through 7 December 2010; Conference Code:84532 abstract: Cognitive radio is a promising technology to increase spectrum utilization. In this technology, cognitive radios (secondary users) share frequency spectrum with licensed users (primary users). To enable spectrum sharing, cognitive radio supports two functionalities: spectrum sensing and primary users classification. In this paper we evaluate the performance of cyclostationarity-based classification approach in multipath fading channel and noise uncertainty. This approach was proposed in context of WRAN 802.22; the first cognitive radio standard. The results show that the proposed approach performs well to recognize TV-PAL and wireless microphone as the primary users. © 2010 IEEE. date: 2010 official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953881896&doi=10.1109%2fICCAIE.2010.5735012&partnerID=40&md5=393602b3875b40d81320063cad47d4d0 id_number: 10.1109/ICCAIE.2010.5735012 full_text_status: none publication: ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics place_of_pub: Kuala Lumpur pagerange: 636-640 refereed: TRUE isbn: 9781424490554 citation: Mossa, A.M. and Jeoti, V. (2010) The performance of cyclostationarity-based WRAN classification approach in multipath fading channel. In: UNSPECIFIED.