Keyphrases
Energy Consumption Optimization
100%
Spreading Factor
100%
Long Range Wide Area Network (LoRaWAN)
100%
Direct-to-Satellite
100%
Spreading Factor Allocation
100%
Reinforcement Learning Approach
100%
Learning-based
66%
Multi-agent
66%
Reinforcement Learning
66%
Non-terrestrial Networks
66%
Energy Consumption
33%
Energy Efficiency
33%
Environment Interaction
33%
Agriculture
33%
Societal Benefits
33%
Reward System
33%
End Device
33%
Economic Benefits
33%
System Energy Efficiency
33%
Rescue Operations
33%
Allocation Approach
33%
Convergence Rate
33%
Allocation Scheme
33%
Quasi-orthogonal
33%
Allocation Method
33%
LoRaWAN Network
33%
Disaster Rescue
33%
Advantage Actor-Critic
33%
Airtime
33%
LoRa Modulation
33%
Double Deep Q-network
33%
Orthogonal Spreading
33%
INIS
optimization
100%
learning
100%
allocations
100%
satellites
100%
energy efficiency
100%
devices
66%
economics
33%
performance
33%
comparative evaluations
33%
data
33%
interactions
33%
environment
33%
convergence
33%
interference
33%
modulation
33%
energy consumption
33%
capture
33%
benchmarks
33%
algorithms
33%
disasters
33%
underground
33%
potentials
33%
agriculture
33%
rescue operations
33%
Engineering
Energy Conservation
100%
Learning Approach
100%
Energy Efficiency
100%
Reinforcement Learning
100%
Terrestrial Network
66%
Data Rate
33%
End Device
33%
Energy Engineering
33%
Rate of Convergence
33%
Computer Science
Reinforcement Learning
100%
Energy Efficiency
100%
Learning Approach
100%
multi agent
66%
Terrestrial Network
66%
Environment Interaction
33%
Deep Q-Network
33%
Convergence Rate
33%
Energy Consumption
33%
Rescue Operation
33%
Earth and Planetary Sciences
Energy Consumption
100%
Energy Utilization
100%