Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Yining Wang, Mingzhe Chen, Zhaohui Yang 0001, Xue Hao, Tao Luo, Walid Saad. Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVs. In 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, HI, USA, December 9-13, 2019. pages 1-6, IEEE, 2019. [doi]

The following publications are possibly variants of this publication:

Deep Learning for Optimal Deployment of UAVs With Visible Light CommunicationsYining Wang, Mingzhe Chen, Zhaohui Yang 0001, Tao Luo 0005, Walid Saad. TWC, 19(11):7049-7063, 2020. [doi]

Federated Convolutional Auto-Encoder for Optimal Deployment of UAVs with Visible Light CommunicationsYining Wang, Yang Yang, Tao Luo. icc 2020: 1-6 [doi]

Optimal Height of UAV in Covert Visible Light CommunicationsJin-Yuan Wang, Dao-Peng Su, Pan Feng, Na Liu, Jun-Bo Wang. icl, 27(10):2682-2686, October 2023. [doi]

Optical Power Coverage Optimization for UAV-enabled Visible Light CommunicationYanheng Liu, Jiao Lu, Geng Sun 0001, Lingling Liu, Jiayun Zhang. icc 2022: 1-6 [doi]

PSO-based LED deployment optimization for visible light communicationsRui Guan, Jin-Yuan Wang, Yun-Peng Wen, Jun-Bo Wang, Ming Chen. In WCSP. 2013: 1-6 [doi]

runs on WebDSL