Zhou, X.; Feng, P.; Li, J.; Chen, J.; Wang, Y.
Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks. Photonics 2023, 10, 1183.
https://doi.org/10.3390/photonics10111183
AMA Style
Zhou X, Feng P, Li J, Chen J, Wang Y.
Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks. Photonics. 2023; 10(11):1183.
https://doi.org/10.3390/photonics10111183
Chicago/Turabian Style
Zhou, Xiaoping, Pengyan Feng, Jiehui Li, Jiajia Chen, and Yang Wang.
2023. "Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks" Photonics 10, no. 11: 1183.
https://doi.org/10.3390/photonics10111183
APA Style
Zhou, X., Feng, P., Li, J., Chen, J., & Wang, Y.
(2023). Tensor-Train Decomposition-Based Hybrid Beamforming for Millimeter-Wave Massive Multiple-Input Multiple-Output/Free-Space Optics in Unmanned Aerial Vehicles with Reconfigurable Intelligent Surface Networks. Photonics, 10(11), 1183.
https://doi.org/10.3390/photonics10111183
