DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC

DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC

Multi-access edge computing (MEC) and non-orthogonal multiple access (NOMA) are regarded as promising technologies to improve the computation capability and offloading efficiency of mobile devices in the sixth-generation (6G) mobile system. This paper mainly focused on the hybrid NOMA-MEC system, wh...

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Bibliographic Details
Main Authors: Haodong Li, Fang Fang, Zhiguo Ding
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Entropy
Subjects:
deep reinforcement learning (DRL)
multi-access edge computing (MEC)
resource allocation
sixth-generation (6G)
user grouping
Online Access:https://www.mdpi.com/1099-4300/23/5/613

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https://www.mdpi.com/1099-4300/23/5/613

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