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Deploying artificial intelligence in the wireless infrastructure: The challenges ahead

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dc.contributor.author Vázquez, MA
dc.contributor.author Pallois, JP
dc.contributor.author Debbah, M
dc.contributor.author Masouros, C
dc.contributor.author Kenyon, T
dc.contributor.author Deng, Y
dc.contributor.author Mekuria, Fisseha
dc.contributor.author Peres-Neira, A
dc.contributor.author Erfanian, J
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
dc.identifier.uri DOI: 10.1109/5GWF.2019.8911693
dc.identifier.uri http://hdl.handle.net/10204/13074
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 & Mngmt Innova 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


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