Research Article
Multiagent Reinforcement Learning for Task Offloading of Space/Aerial-Assisted Edge Computing
| | Number of GUs |
| | Number of UAVs | | Number of initial offloaded tasks | | Number of time slot needed to finish offloading | | Offloading indication matrix of GUs at time slot | | Computation Capacity of UAVs | | Computation Capacity of Satellite | | Computation Capacity of GUs | | Data size (in bits) | | Computing workload (in CPU cycles per bit) | | Computational cost of all SAGIN components | | Queuing time | | Remained computation tasks at time | | Local execution energy consumption | | Transmission power | | Bandwidth | | Noise power | | Channel gain of GU to satellite | | Path loss of GU to UAV | | Transmission rate of GU to UAV or satellite | | Transmission delay | | Communication-related energy consumption | | Discount factor | | Soft update factor | | Actor online with parameter and input | | Actor target with parameter and input | | Critic online with parameter and | | Critic target with and | | Minibatch size | | Replay buffer | | Action random noise |
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