2022
DOI: 10.1049/cmu2.12546
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Service caching decision‐making policy for mobile edge computing using deep reinforcement learning

Abstract: Mobile user terminals in 5G networks can generate massive computational workloads, which require sufficient computation and caching resources, and the processors of user terminals cannot tackle these workloads. Emerging mobile edge computing (MEC) has become the key to solving the computation problem by offloading computation‐intensive workloads to the MEC server. To make full use of the limited resources on the MEC side, service caching can pre‐store specific executable programs, databases, or libraries for e… Show more

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Cited by 4 publications
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