Abstract
We propose an online probabilistic activation control of base stations (BSs) considering both uplink and downlink system throughput. The proposed method is established by extending previous work on probabilistic BS activation control in which only the downlink system throughput is taken into account for maximization. In the proposed method, the total system throughput is defined to include both the uplink and downlink system throughput. The proposed method tries to find a set of activation states of all BSs in a decentralized manner to maximize the defined total system throughput. More specifically, each BS independently and iteratively updates the activation probability based on the time variation of the network-level total system throughput and the transition results of activated or deactivated states at that BS. We show the effectiveness of the proposed method quantitatively based on computer simulations.
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