Dynamic channel access and power control via deep reinforcement learning

Mathematics

• Power Control 100%
• Access Control 98%
• Reinforcement Learning 92%
• Interference Channel 26%
• Q-learning 25%
• Dynamic Control 20%
• Wireless Networks 20%
• Minimum Mean Square Error 20%
• Exhaustive Search 20%
• Performance 18%
• Reward 17%
• Dynamic Problem 17%
• Machine Learning 16%
• Policy 15%
• Resources 14%
• Control Problem 13%
• Game 12%
• Evaluate 12%
• Optimization 11%
• Spectrality 11%
• Strategy 10%
• Energy 10%
• Model 5%
• Dynamic Spectrum Access 2%

Engineering & Materials Science

• Reinforcement learning 61%
• Access control 57%
• Power control 56%
• Energy resources 15%
• Mean square error 14%
• Wireless networks 12%
• Machine learning 11%