MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing

MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing

This paper presents a novel algorithm to address resource allocation and network-slicing challenges in multiaccess edge computing (MEC) networks. Network slicing divides a physical network into virtual slices, each tailored to efficiently allocate resources and meet diverse service requirements. To...

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Bibliographic Details
Main Authors: Ducsun Lim, Inwhee Joe
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
multiaccess edge computing
reinforcement learning
network slicing
resource allocation
Online Access:https://www.mdpi.com/1424-8220/24/23/7760
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https://www.mdpi.com/1424-8220/24/23/7760

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