Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning with Tile Coding Function Approximation

Keyphrases

• Action Function 20%
• Action Method 20%
• Action Value 20%
• Approximation Approach 20%
• Function Approximator 20%
• Hands-off Control 60%
• Heterogeneous Network Topology 20%
• Increased Throughput 20%
• Large Action Space 20%
• Large State Space 20%
• Linear Function 20%
• Node Density 20%
• Reference Signal Received Power 20%
• Seamless Connectivity 20%
• Small Cell Networks 20%
• Small Heterogeneous Networks 20%
• Tile Coding 100%
• Ubiquitous Connectivity 20%
• Ultra-dense HetNets 100%

Engineering

• Action Space 14%
• Cell Network 14%
• Heterogeneous Network 14%
• HetNets 100%
• Linear Function 14%
• Node Density 14%
• Operation and Maintenance Cost 14%
• Received Power 14%
• Value Function 14%

Computer Science

• Linear Function 20%
• Reference Signal 20%