Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells

Mathematics

• Accelerate 10%
• Benchmark 9%
• Cell 49%
• Cellular Networks 14%
• Computational Complexity 8%
• Energy 6%
• Energy Consumption 29%
• Interference 76%
• Learning 8%
• Optimise 9%
• Performance 5%
• Performance Bounds 13%
• Power Control 31%
• Reinforcement Learning 100%
• Schedule 10%
• Simulation 6%
• Sufficient 7%
• Throughput 24%
• Time-varying Channels 18%

Engineering & Materials Science

• Base stations 58%
• Computational complexity 27%
• Energy utilization 46%
• Power control 61%
• Reinforcement learning 66%
• Throughput 46%