Wang, J.; Zheng, Y.; Wang, J.; Shen, Z.; Tong, L.; Jing, Y.; Luo, Y.; Liao, Y.
Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios. Sensors 2023, 23, 8454.
https://doi.org/10.3390/s23208454
AMA Style
Wang J, Zheng Y, Wang J, Shen Z, Tong L, Jing Y, Luo Y, Liao Y.
Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios. Sensors. 2023; 23(20):8454.
https://doi.org/10.3390/s23208454
Chicago/Turabian Style
Wang, Jizhe, Yuanbing Zheng, Jian Wang, Zhenghua Shen, Lei Tong, Yahao Jing, Yu Luo, and Yong Liao.
2023. "Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios" Sensors 23, no. 20: 8454.
https://doi.org/10.3390/s23208454
APA Style
Wang, J., Zheng, Y., Wang, J., Shen, Z., Tong, L., Jing, Y., Luo, Y., & Liao, Y.
(2023). Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios. Sensors, 23(20), 8454.
https://doi.org/10.3390/s23208454