Salh, A.; Alhartomi, M.A.; Hussain, G.A.; Jing, C.J.; Shah, N.S.M.; Alzahrani, S.; Alsulami, R.; Alharbi, S.; Hakimi, A.; Almehmadi, F.S.
Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems. J. Sens. Actuator Netw. 2025, 14, 20.
https://doi.org/10.3390/jsan14010020
AMA Style
Salh A, Alhartomi MA, Hussain GA, Jing CJ, Shah NSM, Alzahrani S, Alsulami R, Alharbi S, Hakimi A, Almehmadi FS.
Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems. Journal of Sensor and Actuator Networks. 2025; 14(1):20.
https://doi.org/10.3390/jsan14010020
Chicago/Turabian Style
Salh, Adeb, Mohammed A. Alhartomi, Ghasan Ali Hussain, Chang Jing Jing, Nor Shahida M. Shah, Saeed Alzahrani, Ruwaybih Alsulami, Saad Alharbi, Ahmad Hakimi, and Fares S. Almehmadi.
2025. "Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems" Journal of Sensor and Actuator Networks 14, no. 1: 20.
https://doi.org/10.3390/jsan14010020
APA Style
Salh, A., Alhartomi, M. A., Hussain, G. A., Jing, C. J., Shah, N. S. M., Alzahrani, S., Alsulami, R., Alharbi, S., Hakimi, A., & Almehmadi, F. S.
(2025). Deep Reinforcement Learning-Driven Hybrid Precoding for Efficient Mm-Wave Multi-User MIMO Systems. Journal of Sensor and Actuator Networks, 14(1), 20.
https://doi.org/10.3390/jsan14010020
