Learning-based mobile edge computing resource management to support public blockchain networks

We consider a public blockchain realized in the mobile edge computing (MEC) network, where the blockchain miners compete against each other to solve the proof-of-work puzzle and win a mining reward. Due to limited computing capabilities of their mobile terminals, miners offload computations to the M...

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Bibliographic Details
Main Authors: Alia Asheralieva, Dusit Niyato
Format: Default Article
Published: 2019
Subjects:
Engineering
Communications engineering
Cybersecurity and privacy
Distributed computing and systems software
Blockchain
Deep learning
Game theory
Incomplete information
Markov decision process
Mining
Mobile edge computing
Partially-observable Markov decision process
Reinforcement learning
Resource management
Online Access:https://hdl.handle.net/2134/25918813.v1
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https://hdl.handle.net/2134/25918813.v1

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