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"Multi-Agent Deep Reinforcement Learning for Massive Access in 5G and ..."

Zhenjiang Shi et al. (2022)

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DOI: 10.1109/TWC.2021.3117859

access: closed

type: Journal Article

metadata version: 2022-06-02

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  - https://dblp.org/rec/journals/twc/ShiLZK22
Zhenjiang Shi, Jiajia Liu, Shangwei Zhang, Nei Kato:
Multi-Agent Deep Reinforcement Learning for Massive Access in 5G and Beyond Ultra-Dense NOMA System. IEEE Trans. Wirel. Commun. 21(5): 3057-3070 (2022)

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