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المؤلفBaccour, Emna
المؤلفAllahham, Mhd Saria
المؤلفErbad, Aiman
المؤلفMohamed, Amr
المؤلفHussein, Ahmed Refaey
المؤلفHamdi, Mounir
تاريخ الإتاحة2023-05-21T08:37:24Z
تاريخ النشر2023-02-01
اسم المنشورIEEE Communications Magazine
المعرّفhttp://dx.doi.org/10.1109/MCOM.001.2200508
الاقتباسBaccour, E., Allahham, M. S., Erbad, A., Mohamed, A., Hussein, A. R., & Hamdi, M. (2023). Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks. IEEE Communications Magazine, 61(2), 110-116.
الرقم المعياري الدولي للكتاب0163-6804
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149001160&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43117
الملخصThe vision of the upcoming 6G technologies, characterized by ultra-dense networks, low latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero touch solutions enabling self-X (e.g., self-configuration, self-monitoring, and self-healing) services. However, the research on 6G is still in its infancy, and only the first steps have been taken to conceptualize its design, investigate its implementation, and plan for use cases. Toward this end, academia and industry communities have gradually shifted from theoretical studies of AI distribution to real-world deployment and standardization. Still, designing an end-to-end framework that systematizes the AI distribution by allowing easier access to the service using a third-party application assisted by zero touch service provisioning has not been well explored. In this context, we introduce a novel platform architecture to deploy a zero touch PAI as a service (PAlaaS) in 6G networks supported by a blockchain-based smart system. This platform aims to standardize the PAI at all levels of the architecture and unify the interfaces in order to facilitate service deployment across application and infrastructure domains, relieve users' worries about cost, security, and resource allocation, and at the same time respect the 6G's stringent performance requirements. As a proof of concept, we present a federated-learning-as-a-service use case where we evaluate the ability of our proposed system to self-optimize and self-adapt to the dynamics of 6G networks in addition to minimizing the users' perceived costs.
راعي المشروعThis publication was made possible by NPRP13S-0205-200265 from the Qatar National Research Fund.
اللغةen
الناشرIEEE
الموضوعDense network
Network architecture
Queueing networks
العنوانZero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks
النوعArticle
الصفحات110-116
رقم العدد2
رقم المجلد61
dc.accessType Abstract Only


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