Efficient dynamic distributed resource slicing in 6G multi-access edge computing networks with online ADMM and message passing graph neural networks

We consider the problem of resource slicing in the 6th generation multi-access edge computing (6G-MEC) network. The network includes many non-stationary space-air-ground-sea nodes with dynamic, unstable connections and resources, where any node can be in one of two hidden states: i) reliable - when...

Full description

Bibliographic Details

Main Authors:	Alia Asheralieva, Dusit Niyato, Yoshikazu Miyanaga
Format:	Default Article
Published:	2023
Subjects:	Engineering Communications engineering Cybersecurity and privacy Distributed computing and systems software 6G Deep learning Dynamic combinatorial optimization Graph theory Graph neural networks Mathematical decomposition Multi-access edge computing Network slicing Space-air-ground-sea networks Ultra-reliable low-latency communications
Online Access:	https://hdl.handle.net/2134/25918480.v1
Tags:	Add Tag No Tags, Be the first to tag this record!