SVM‐based online learning for interference‐aware multi‐cell mmWave vehicular communications-Reference-Cited by-同舟云学术

SVM‐based online learning for interference‐aware multi‐cell mmWave vehicular communications

Published:2021-03-08 Issue:8 Volume:15 Page:1015-1027
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Li Dapeng¹²,Zhu Jiangpei¹^ORCID,Zhao Haitao¹,Wang Xiaoming¹,Jiang Rui¹

Affiliation:

1. College of Telecommunications, and Information Engineering Nanjing University of Posts and Telecommunications Nanjing 210003 China

2. Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Nanjing 210003 China

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Key University Science Research Project of Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12138

Reference38 articles.

1. Analytical Framework of Hybrid Beamforming in Multi-Cell Millimeter-Wave Systems

2. MIMO–OFDM communication systems for traffic data transmission in 5G drone small cells

3. Millimeter-Wave Full-Duplex UAV Relay: Joint Positioning, Beamforming, and Power Control

4. Design and implementation of a wideband channel emulation platform for 5G mmWave vehicular communication

5. Sub-6GHz Assisted MAC for Millimeter Wave Vehicular Communications

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