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Summary of ML studies for energy efficiency in O-RAN.
| Year | Ref | Contribution |
|---|---|---|
| 2022 | [54] | Proposed online adversarial bandit learning for energy-aware scheduling policy optimization to maximize the performance of virtualized Base Stations (vBS) in O-RAN. |
