Machine Learning-Based Channel Classification and Its Application to IEEE 802.11ad Communications-Reference-Cited by-同舟云学术

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Machine Learning-Based Channel Classification and Its Application to IEEE 802.11ad Communications

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2017 - 2017 IEEE Global Communications Conference
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Author:

Kurniawan Ernest,Zhiwei Lin,Sun Sumei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8253768/8253909/08254052.pdf?arnumber=8254052

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cooperative Deep-Learning Positioning in mmWave 5G-Advanced Networks;IEEE Journal on Selected Areas in Communications;2023-12

2. PEiD: Precise and Real-Time LOS/NLOS Path Identification Based on Peak Energy Index Distribution;Applied Sciences;2023-06-23

3. On the Latent Space of mmWave MIMO Channels for NLOS Identification in 5G-Advanced Systems;IEEE Journal on Selected Areas in Communications;2023-06

4. A Simple Efficient Lightweight CNN Method for LOS/NLOS Identification in Wireless Communication Systems;IEEE Communications Letters;2023-06

5. Grant-Free Random Access With Channel Differentiation in Massive MIMO Systems;IEEE Transactions on Vehicular Technology;2023-02

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