Which machine-learning type does radio resource management (RRM) use?
Radio resource management uses reinforcement learning to dynamically optimize RF settings. The learning agent evaluates actions such as changing channels, bandwidth, transmit power, and band selection according to their expected future rewards for coverage, capacity, and connectivity.
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