| Adagrad | Adaptive Gradient |
| AI | Artificial Intelligence |
| AmBC | Ambient Backscatter Communication |
| BS | Base Station |
| CSI | Channel State Information |
| DC | Direct Current |
| DDPG | Deep Deterministic Policy Gradient |
| DNN | Deep Neural Networks |
| DDQN | Double Deep Q-Network |
| DQN | Deep Q-Network |
| DRL | Deep Reinforcement Learning |
| EM | Electromagnetic |
| FL | Federated Learning |
| GT | Ground Terminal |
| IoUgT | Internet of Underground Things |
| IoUwT | Internet of Underwater Things |
| IRS | Intelligent Reflecting Surface |
| LoS | Line of Sight |
| MDP | Markov Decision Process |
| MIMO | Multiple Input Multiple Output |
| ML | Machine Learning |
| NLoS | Non-Line of Sight |
| NOMA | Non-Orthogonal Multiple Access |
| PPO | Proximal Policy Optimization |
| RE | Reflecting Elements |
| RF | Radio Frequency |
| RIS | Reconfigurable Intelligent Surface |
| RL | Reinforcement Learning |
| RMSprop | Root Mean Square Propagation |
| RProp | Resilient Propagation |
| SGD | Scholastic Gradient Descent |
| SL | Split Learning |
| SNR | Signal-to-Noise Ratio |
| TD3 | Twin Delayed DDPG |
| TDDRL | Twin-DDPG Deep Reinforcement Learning |
| UAV | Unmanned Aerial Vehicle |
| UWOC | Underwater Wireless Optical Communication |