MULTI-AGENT DEEP REINFORCEMENT LEARNING BASED OPTIMIZING JOINT 3D TRAJECTORIES AND PHASE SHIFTS IN RIS-ASSISTED UAV-ENABLED WIRELESS COMMUNICATIONS

Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications

Unmanned aerial vehicles (UAVs) serve as airborne access points or base stations, delivering network services to the Internet of Things devices (IoTDs) in areas with compromised or absent infrastructure.However, urban obstacles like trees and high buildings can obstruct the connection between UAVs and IoTDs, leading to degraded communication perfor

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Design of automatic control system of circular low speed wind tunnel and its measurement uncertainty evaluatio

In order to satisfy demands of rapid, accurate, automatic detection of mine-used wind speed sensor and wind speed impact test of mine-used gas sensor, an automatic control Diet and Weight Loss system of circular low speed wind tunnel was designed.The system uses PLC as main control unit, and adopts PID control module to control frequency converter

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