Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach-Reference-Cited by-同舟云学术

Data-driven dynamic resource scheduling for network slicing: A Deep reinforcement learning approach

Published:2019-09 Issue: Volume:498 Page:106-116
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wang Haozhe,Wu Yulei^ORCID,Min Geyong,Xu Jie,Tang Pengcheng

Funder

Huawei Technologies

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference38 articles.

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5. Network slicing games: enabling customization in multi-tenant networks;Caballero,2017

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