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- W4320341753 abstract "By shutting down frequency carriers, the power consumed by a base station can be considerably reduced. However, this typically comes with traffic performance degradation, as the congestion on the remaining active carriers is increased. We leverage a hysteresis carrier shutdown policy that attempts to keep the average traffic load on each sector within a certain min/max threshold pair. We propose a closed-loop Bayesian method optimizing such thresholds on a sector basis and aiming at minimizing the power consumed by the power amplifiers while maintaining the probability that KPI's are acceptable above a certain value. We tested our approach in a live customer 4G network. The power consumption at the base station was reduced by 11% and the selected KPI's met the predefined targets." @default.
- W4320341753 created "2023-02-13" @default.
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- W4320341753 date "2023-02-02" @default.
- W4320341753 modified "2023-09-27" @default.
- W4320341753 title "Energy savings under performance constraints via carrier shutdown with Bayesian learning" @default.
- W4320341753 doi "https://doi.org/10.48550/arxiv.2302.01093" @default.
- W4320341753 hasPublicationYear "2023" @default.
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