RL for Communications and Networking
Example: Power Control with DQN
Train a DQN agent for multi-user power control.
Solution
Setup
State: channel gains [h1, ..., hn], SINR levels. Action: power level index for each user. Reward: sum spectral efficiency = sum(log2(1 + SINR_i)).
Example: User Scheduling with PPO
Train a PPO agent to schedule users in each time slot.
Solution
Key design
The action space is which user(s) to schedule. The reward combines throughput with fairness (e.g., proportional fairness). PPO's stability makes it suitable for this multi-objective task.