Introduction to the special section on deep reinforcement learning for future wireless communication networks

被引：4

作者：

Gong, Shimin ^{[1
]}

Hoang, Dinh Thai ^{[2
]}

Niyato, Dusit ^{[3
,4
]}

El Shafie, Ahmed ^{[5
]}

De Domenico, Antonio ^{[6
]}

Strinati, Emilio Calvanese ^{[7
]}

Hoydis, Jakob ^{[8
]}

机构：

[1] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Guangdong, Peoples R China

[2] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW 2007, Australia

[3] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore

[4] Nanyang Technol Univ, Sch Phys & Math Sci, Singapore 639798, Singapore

[5] Qualcomm Technol, San Diego, CA 92121 USA

[6] CEA LETICMINATEC, F-38054 Grenoble, France

[7] CEA LETICMINATEC, Smart Devices & Telecommun European Collaborat St, F-38054 Grenoble, France

[8] Nokia Bell Labs, Res Dept, F-91620 Paris, France

来源：

IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING | 2019年 / 5卷 / 04期

关键词：

Special issues and sections; Deep learning; Reinforcement learning; Wireless networks; Communication networks;

D O I：

10.1109/TCCN.2019.2954144

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We are delighted to introduce the readers to this special section of the IEEE Transactions on Cognitive Communications and Networking (TCCN), which aims at exploring recent advances and addressing practical challenges in the applications of deep reinforcement learning (DRL) in modern wireless networks. We have received a total of 29 submissions, and after a rigorous review process, 12 articles have been selected for publication, which are briefly discussed as follows.

引用

页码：1019 / 1023

页数：5

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