ALNN‐based LOS/NLOS identification in 3D millimetre wave channel-Reference-Cited by-同舟云学术

ALNN‐based LOS/NLOS identification in 3D millimetre wave channel

Published:2022-05-28 Issue:14 Volume:16 Page:1686-1698
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Lv Siting¹²^ORCID,Li Xiaohui¹²,Fan Tao¹^ORCID,Liu Jiawen¹^ORCID

Affiliation:

1. State Key Laboratory on Integrated Services Network Xidian University Xi'an Shaanxi China

2. Guangzhou Institute of Technology Xidian University Guangzhou Guangdong China

Funder

Higher Education Discipline Innovation Project

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12418

Reference30 articles.

1. Improved line‐of‐sight/non‐line‐of‐sight classification methods for pulsed ultrawideband localisation

2. Channel modelling and performance of non-line-of-sight ultraviolet scattering communications

3. Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks

4. Wang F. Xu Z. Zhi R. et al.:LOS/NLOS channel identification technology based on CNN. In:Proceedings of NAFOSTED Conference on Information and Computer Science (NICS).Hanoi Vietnam pp.200–203(2019)

5. Khawaja W. Ozdemir O. Erden F. et al.:Effect of passive reflectors for enhancing coverage of 28 GHz mmWave systems in an outdoor setting. In:IEEE Radio Wireless Symposium (RWS).Orlando FL pp.1–4(2019)

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