The proposed algorithms, ECO and EDT, are designed to adapt to changing channel conditions in high-frequency systems.
ECO: This algorithm focuses on energy efficiency constrained optimization by adjusting the data transmission based on the current channel conditions. By setting a hyperparameter "s" that determines how tightly the efficiency constraint is enforced, ECO can dynamically allocate resources according to the prevailing channel quality. When faced with beneficial channel conditions, ECO will motivate more data transmission until a certain efficiency threshold is reached.
EDT: Even Data Transmission (EDT) aims to evenly distribute data transmission across time blocks regardless of varying channel conditions. This approach ensures that each user receives a fair share of data throughput throughout different scenarios. While it may not optimize for energy efficiency based on real-time feedback from channels, EDT provides a balanced distribution strategy that can be effective in maintaining system stability.
Both algorithms offer unique strategies for handling changing channel conditions: ECO optimizes for energy efficiency under dynamic constraints, while EDT prioritizes equitable data distribution over time.