Mean-Field-Type Game for Multi-Access Edge Computing Networks

Reginald A. Banez, Lixin Li, Chungang Yang, Zhu Han

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Multi-access edge computing (MEC) has been proposed to reduce the latency inherent in traditional cloud computing. One of the services offered in an MEC network (MECN) is computation offloading in which computing nodes, with limited capabilities and performance, can offload computation-intensive tasks to other computing nodes in the network. Meanwhile, mean-field-type game (MFTG) has been recently applied in engineering applications where the number of decision makers is finite and a decision maker can be distinguishable from other decision makers and have a non-negligible effect on the total utility of the network.

Original languageEnglish
Title of host publicationWireless Networks (United Kingdom)
PublisherSpringer Science and Business Media B.V.
Pages147-178
Number of pages32
DOIs
StatePublished - 2021

Publication series

NameWireless Networks (United Kingdom)
ISSN (Print)2366-1186
ISSN (Electronic)2366-1445

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