Power consumption model of sector breathing based congestion control in mobile network

Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework with Hybrid Action Space

“…Note that the CIO fakes the cell edges to enforce a handover decision that may not be optimal in terms of channel quality. This motivates the second scenario, where the controller has the same objective, but instead of using the CIO control, it controls the transmit power of the eNB as in [9]- [11]. Although this approach controls the actual boundaries of the cells in contrast to the CIO, it creates a new set of problems.…”