Research Article
Three-Tier Computing Platform Optimization: A Deep Reinforcement Learning Approach
Table 1
Summary of some of the key notations used.
| Notation | Description |
| N | Set of IoT nodes | | Set of small base stations (high-performance processors) | | Set of macro base stations (collaborative edge devices) | | Set of resource edge devices | | Task edge device | | Set of subcarriers from user to small BS | | Set of subcarriers from small base station to macro BS | | Bandwidth | | Transmission rate | | Power allocated to | | Power allocated to | | Indicator variable for | | Local computing power | | CPU computational frequency of user | | Effective capacitance coefficient | | The available power | | Latency | | Number of bits in | | Computing capacity of IoT node | | The computational capacity of small base station | | Computing capacity of macro base station | | Propagation latency | | System latency | | Total APC | | Required processing capacity for user | | Energy consumed at the small base station | | Static power offset | | Total consumed power | | Reward at time slot | | Loss function | | Learning rate | | Temporal difference | | Policy | | Maximum communication capacity allocated by and | | Maximum computing capacity allocated by and |
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