Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

Fengming Yang, Jianxin Dai, Cunhua Pan, Sheng Hong, Hong Ren, Kezhi Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Original language	English
Title of host publication	2022 IEEE 95th Vehicular Technology Conference
Subtitle of host publication	VTC2022-Spring
Place of Publication	Piscataway, US
DOIs	https://doi.org/10.1109/vtc2022-spring54318.2022.9860625
Publication status	Published - Jun 2022

Access to Document

@inproceedings{215862a75dd3437c8eb0c78396b2b59b,

title = "Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels",

author = "Fengming Yang and Jianxin Dai and Cunhua Pan and Sheng Hong and Hong Ren and Kezhi Wang",

year = "2022",

month = jun,

doi = "10.1109/vtc2022-spring54318.2022.9860625",

language = "English",

booktitle = "2022 IEEE 95th Vehicular Technology Conference",

}

TY - GEN

T1 - Robust Beamforming Design for RIS-Aided NOMA Networks With Imperfect Channels

AU - Yang, Fengming

AU - Dai, Jianxin

AU - Pan, Cunhua

AU - Hong, Sheng

AU - Ren, Hong

AU - Wang, Kezhi

PY - 2022/6

Y1 - 2022/6

U2 - 10.1109/vtc2022-spring54318.2022.9860625

DO - 10.1109/vtc2022-spring54318.2022.9860625

M3 - Conference contribution

BT - 2022 IEEE 95th Vehicular Technology Conference

CY - Piscataway, US

ER -