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Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks. (arXiv:2201.10032v1 [eess.SY])
Web: http://arxiv.org/abs/2201.10032
Jan. 26, 2022, 2:11 a.m. | Arian Ahmadi, Omid Semiari, Mehdi Bennis, Merouane Debbah
cs.LG updates on arXiv.org arxiv.org
Multi-access edge computing (MEC) is viewed as an integral part of future
wireless networks to support new applications with stringent service
reliability and latency requirements. However, guaranteeing ultra-reliable and
low-latency MEC (URLL MEC) is very challenging due to uncertainties of wireless
links, limited communications and computing resources, as well as dynamic
network traffic. Enabling URLL MEC mandates taking into account the statistics
of the end-to-end (E2E) latency and reliability across the wireless and edge
computing systems. In this paper, a …
More from arxiv.org / cs.LG updates on arXiv.org
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