Statistical analysis of adaptive rate and power control in urban FSO drone networks using RL-DQN-A2C

Computer Science

• Reinforcement Learning 100%
• Deep Q-Network 100%
• Spectral Efficiency 50%
• Smart City 30%
• optimal power 30%
• Optical Communication 30%
• Optical Channel 20%
• Optimization Technique 10%
• Power Consumption 10%
• Unmanned Aerial Vehicle 10%
• Learning Framework 10%
• Systems Performance 10%
• Fast Convergence 10%
• Spectrum Efficiency 10%
• Modulationorder 10%
• Optimization Policy 10%