ResearchSpace

Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios

Show simple item record

dc.contributor.author Lebese, J
dc.contributor.author Olwal, T
dc.contributor.author Mfupe, Luzango P
dc.date.accessioned 2022-08-15T07:11:57Z
dc.date.available 2022-08-15T07:11:57Z
dc.date.issued 2021-09
dc.identifier.citation Lebese, J., Olwal, T. & Mfupe, L.P. 2021. Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios. http://hdl.handle.net/10204/12464 . en_ZA
dc.identifier.uri DOI: 10.1109/AFRICON51333.2021.9570940
dc.identifier.uri http://hdl.handle.net/10204/12464
dc.description.abstract Spectrum occupancy measurements have become vital due to the proliferation of radio users. Literature shows that most of the allocated spectrum is used sporadically. This brings in the idea of dynamic spectrum access techniques using Cognitive Radios (CR). Little research attention has focussed on the real-time measurements of spectrum occupancy. Hence, the proposed research investigates the spectrum occupancy to determine how often frequency channels for TV bands are utilised. This was achieved by installing a low-cost spectrum sensor using Yagi Antennas to monitor the TV spectrum bands, applying statistical analysis tool for data processing. The study used Energy detection techniques to determine the spectrum occupation status, i.e., whether the spectrum is vacant or occupied. This study further explores the detailed pragmatic measurements study of spectrum occupancy with data from TV frequency band (470 – 702MHz). en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://ieeexplore.ieee.org/document/9570940 en_US
dc.source Proceedings of IEEE AFRICON 2021, Arusha, Tanzania, Virtual Conference, 13-15 September 2021 en_US
dc.subject Cognitive radio en_US
dc.subject Channel Occupancy en_US
dc.subject Energy detection en_US
dc.subject Spectrum Sensing and Frequency Channel Occupancy en_US
dc.title Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios en_US
dc.type Conference Presentation en_US
dc.description.pages 6 en_US
dc.description.note ©2021 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9570940 en_US
dc.description.cluster Next Generation Enterprises & Institutions en_US
dc.description.impactarea Spectrum Access Management Innovation en_US
dc.identifier.apacitation Lebese, J., Olwal, T., & Mfupe, L. P. (2021). Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios. http://hdl.handle.net/10204/12464 en_ZA
dc.identifier.chicagocitation Lebese, J, T Olwal, and Luzango P Mfupe. "Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios." <i>Proceedings of IEEE AFRICON 2021, Arusha, Tanzania, Virtual Conference, 13-15 September 2021</i> (2021): http://hdl.handle.net/10204/12464 en_ZA
dc.identifier.vancouvercitation Lebese J, Olwal T, Mfupe LP, Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios; 2021. http://hdl.handle.net/10204/12464 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Lebese, J AU - Olwal, T AU - Mfupe, Luzango P AB - Spectrum occupancy measurements have become vital due to the proliferation of radio users. Literature shows that most of the allocated spectrum is used sporadically. This brings in the idea of dynamic spectrum access techniques using Cognitive Radios (CR). Little research attention has focussed on the real-time measurements of spectrum occupancy. Hence, the proposed research investigates the spectrum occupancy to determine how often frequency channels for TV bands are utilised. This was achieved by installing a low-cost spectrum sensor using Yagi Antennas to monitor the TV spectrum bands, applying statistical analysis tool for data processing. The study used Energy detection techniques to determine the spectrum occupation status, i.e., whether the spectrum is vacant or occupied. This study further explores the detailed pragmatic measurements study of spectrum occupancy with data from TV frequency band (470 – 702MHz). DA - 2021-09 DB - ResearchSpace DP - CSIR J1 - Proceedings of IEEE AFRICON 2021, Arusha, Tanzania, Virtual Conference, 13-15 September 2021 KW - Cognitive radio KW - Channel Occupancy KW - Energy detection KW - Spectrum Sensing and Frequency Channel Occupancy LK - https://researchspace.csir.co.za PY - 2021 T1 - Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios TI - Real-time spectrum occupancy measurements based on the energy detection method in cognitive radios UR - http://hdl.handle.net/10204/12464 ER - en_ZA
dc.identifier.worklist 25467 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record