dc.contributor.author |
Lebese, J
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|
dc.contributor.author |
Olwal, T
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dc.contributor.author |
Mfupe, Luzango P
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|
dc.date.accessioned |
2022-08-15T07:11:57Z |
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dc.date.available |
2022-08-15T07:11:57Z |
|
dc.date.issued |
2021-09 |
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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
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dc.identifier.uri |
http://hdl.handle.net/10204/12464
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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 |