Using Reinforcement Learning to Reduce Energy Consumption of Ultra-Dense Networks With 5G Use Cases Requirements.
Silvestre MaltaPedro PintoManuel Fernández-VeigaPublished in: IEEE Access (2023)
Keyphrases
- energy consumption
- reinforcement learning
- save energy
- wireless sensor networks
- energy saving
- energy efficient
- energy efficiency
- sensor networks
- reduce the energy consumption
- energy conservation
- base station
- node density
- resource limitations
- data transmission
- environmental impact
- data center
- electricity consumption
- routing protocol
- wireless medium
- high speed
- energy aware
- social networks
- routing algorithm
- power management
- sensor nodes
- cellular networks
- network size
- node selection
- greenhouse gas emissions
- residual energy
- data gathering
- network resources
- network lifetime
- high performance computing
- end to end
- network structure
- wireless networks
- mobile devices