Simulation results have demonstrated that our method has significant advantages over traditional methods and other deep-learning algorithms, and effectively improves the communication performance of NOMA transmission to some extent. Keywords: NOMA; deep-reinforcement learning; actor–critic; power allocation;...
These graphs provide a visual representation of how well the SEAC model improves its resource allocation decisions over time, showcasing its potential advantages over traditional methods. 5. Performance Evaluation and Analysis The results discussed in this section are derived from the deployment of ...
During the development of continuous casting technology, many classical methods for the control of the liquid level in the mold emerged, such as predictive control, fuzzy control, adaptive control, etc. In [10], a Hammerstein Generalized Predictive Controller (HGPC) was designed, and the ...
Although UAV control technology has steadily advanced in recent years, the main control methods still involve the use of wireless remote operation or preprogramming. With remote operation, there is a risk that the communication link may fail to work in real-time. Additionally, the controllable ...
Therefore, methods for the autonomous collision avoidance of ships must be developed. In this regard, artificial intelligence has developed rapidly in recent years, and the combination of robot technology and control technology has provided a new solution to the problem of path planning for ships ...
The offline methods ignore the dynamic change in the status of sensors. Hence, the offline method is not suitable for dealing with application scenarios where the energy consumption rate of the sensor changes in real time and the large-scale WRSN. For example, Yan et al. [17] first ...