Explainable artificial intelligence for 6G: improving trust between human and machine

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dc.contributor.authorGuo, Weisi
dc.date.accessioned2020-10-02T15:03:39Z
dc.date.available2020-10-02T15:03:39Z
dc.date.issued2020-07-15
dc.description.abstractAs 5G mobile networks are bringing about global societal benefits, the design phase for 6G has started. Evolved 5G and 6G will need sophisticated AI to automate information delivery simultaneously for mass autonomy, human machine interfacing, and targeted healthcare. Trust will become increasingly critical for 6G as it manages a wide range of mission-critical services. As we migrate from traditional mathematical model-dependent optimization to data-dependent deep learning, the insight and trust we have in our optimization modules decrease. This loss of model explainability means we are vulnerable to malicious data, poor neural network design, and the loss of trust from stakeholders and the general public -- all with a range of legal implications. In this review, we outline the core methods of explainable artificial intelligence (XAI) in a wireless network setting, including public and legal motivations, definitions of explainability, performance vs. explainability trade-offs, and XAI algorithms. Our review is grounded in case studies for both wireless PHY and MAC layer optimization and provide the community with an important research area to embark upon.en_UK
dc.identifier.citationGuo W. (2020) Explainable artificial intelligence for 6G: improving trust between human and machine. IEEE Communications Magazine, Volume 58, Issue 6, June 2020, pp. 39-45en_UK
dc.identifier.issn0163-6804
dc.identifier.urihttps://doi.org/10.1109/MCOM.001.2000050
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/15857
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectmachine learningen_UK
dc.subjectdeep learningen_UK
dc.subjectdeep reinforcement learningen_UK
dc.subjectXAIen_UK
dc.subject5Gen_UK
dc.subject6Gen_UK
dc.titleExplainable artificial intelligence for 6G: improving trust between human and machineen_UK
dc.typeArticleen_UK

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