dc.contributor.author |
Vázquez, MA
|
|
dc.contributor.author |
Pallois, JP
|
|
dc.contributor.author |
Debbah, M
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|
dc.contributor.author |
Masouros, C
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|
dc.contributor.author |
Kenyon, T
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|
dc.contributor.author |
Deng, Y
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|
dc.contributor.author |
Mekuria, Fisseha
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|
dc.contributor.author |
Peres-Neira, A
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|
dc.contributor.author |
Erfanian, J
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|
dc.date.accessioned |
2023-09-20T06:23:05Z |
|
dc.date.available |
2023-09-20T06:23:05Z |
|
dc.date.issued |
2019-09 |
|
dc.identifier.citation |
Vázquez, M., Pallois, J., Debbah, M., Masouros, C., Kenyon, T., Deng, Y., Mekuria, F. & Peres-Neira, A. et al. 2019. Deploying artificial intelligence in the wireless infrastructure: The challenges ahead. http://hdl.handle.net/10204/13074 . |
en_ZA |
dc.identifier.isbn |
978-1-7281-3627-1 |
|
dc.identifier.isbn |
978-1-7281-3628-8 |
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dc.identifier.uri |
DOI: 10.1109/5GWF.2019.8911693
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|
dc.identifier.uri |
http://hdl.handle.net/10204/13074
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|
dc.description.abstract |
The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data. |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/8911693 |
en_US |
dc.source |
Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019 |
en_US |
dc.subject |
Artificial intelligence |
en_US |
dc.subject |
AI |
en_US |
dc.subject |
Machine learning |
en_US |
dc.subject |
Wireless infrastructure |
en_US |
dc.title |
Deploying artificial intelligence in the wireless infrastructure: The challenges ahead |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
458-459 |
en_US |
dc.description.note |
Paper presented at the Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019. 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/8911693 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Spectrum Access Mgmt Innov |
en_US |
dc.identifier.apacitation |
Vázquez, M., Pallois, J., Debbah, M., Masouros, C., Kenyon, T., Deng, Y., ... Erfanian, J. (2019). Deploying artificial intelligence in the wireless infrastructure: The challenges ahead. http://hdl.handle.net/10204/13074 |
en_ZA |
dc.identifier.chicagocitation |
Vázquez, MA, JP Pallois, M Debbah, C Masouros, T Kenyon, Y Deng, Fisseha Mekuria, A Peres-Neira, and J Erfanian. "Deploying artificial intelligence in the wireless infrastructure: The challenges ahead." <i>Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019</i> (2019): http://hdl.handle.net/10204/13074 |
en_ZA |
dc.identifier.vancouvercitation |
Vázquez M, Pallois J, Debbah M, Masouros C, Kenyon T, Deng Y, et al, Deploying artificial intelligence in the wireless infrastructure: The challenges ahead; 2019. http://hdl.handle.net/10204/13074 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Vázquez, MA
AU - Pallois, JP
AU - Debbah, M
AU - Masouros, C
AU - Kenyon, T
AU - Deng, Y
AU - Mekuria, Fisseha
AU - Peres-Neira, A
AU - Erfanian, J
AB - The adoption of artificial intelligence (AI) techniques entails a substantial change in the wireless ecosystem where data as well as their owners become crucial. As a result, the roll out of AI techniques in wireless systems raises a plethora of questions. In this context, we describe the challenges observed by the wireless stakeholders when deploying AI. Furthermore, we introduce the recent discussion in field of ethics that appear when managing wireless communications data.
DA - 2019-09
DB - ResearchSpace
DP - CSIR
J1 - Institute of Electrical and Electronics Engineers (IEEE) 5G World Forum (5GWF), Dresden, Germany, 10-12 September 2019
KW - Artificial intelligence
KW - AI
KW - Machine learning
KW - Wireless infrastructure
LK - https://researchspace.csir.co.za
PY - 2019
SM - 978-1-7281-3627-1
SM - 978-1-7281-3628-8
T1 - Deploying artificial intelligence in the wireless infrastructure: The challenges ahead
TI - Deploying artificial intelligence in the wireless infrastructure: The challenges ahead
UR - http://hdl.handle.net/10204/13074
ER - |
en_ZA |
dc.identifier.worklist |
23299 |
en_US |