Deep reinforcement learning empowered energy efficient task-offloading in cloud-radio access networks

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Communication Networks and Distributed Systems Pub Date : 2023-01-01 DOI:10.1504/ijcnds.2023.130569

Naveen Kumar, Anwar Ahmad

引用次数: 1

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深度强化学习为云无线接入网络中的节能任务卸载提供了支持

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Communication Networks and Distributed Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.50

自引率

46.20%

发文量

期刊介绍： IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.