Figure 12shows how many IRSs were used and how many UEs were improved for coverage extension at different times of 6:00, 12:00, 18:00, and 0:00. The bar chart shows how many IRSs were used at each time, thereby referring to the value on the left vertical axis. The line graph show...
Figure 12shows how many IRSs were used and how many UEs were improved for coverage extension at different times of 6:00, 12:00, 18:00, and 0:00. The bar chart shows how many IRSs were used at each time, thereby referring to the value on the left vertical axis. The line graph show...
Figure 2. The flow chart of the joint optimization algorithm. 3.1. User Scheduling Optimization For the given UAV trajectory Q , beamforming vector W , and reflecting matrix Ψ , the transmission rate of eavesdroppers is settled. Thus, the average secrecy capacity is dependent entirely on the...
Figure 2. The flow chart of the joint optimization algorithm. 3.1. User Scheduling Optimization For the given UAV trajectory Q , beamforming vector W , and reflecting matrix Ψ , the transmission rate of eavesdroppers is settled. Thus, the average secrecy capacity is dependent entirely on the...
Figure 6. Flow chart of the training and testing process for the proposed DGD-CNet model. 5. Numerical Results This section provides the validation and analysis of the proposed DGD-CNet model and its comparison with the other models listed in the literature. Two types of channel matrices were...