V.A. Dadonov1, I.A. Borisov2, D.V. Kuznetsov3

1–3 Bauman Moscow State Technical University (Moscow, Russia)
1 ilaborisov839@gmail.com, 2 dvaczar@gmail.com

A distributed base-station network is a hybrid technical system in which traffic and equipment power vary continuously, whereas the active-node set changes discretely. A substantial load-independent power component prevents operating costs from decreasing proportionally with traffic. Switching equipment to sleep mode also requires coverage and utilization constraints, as well as the implementation costs of a control platform, to be considered.

Objective – to develop a dynamic model and a method for the techno-economic selection of power-consumption modes, taking into account traffic load, technical constraints and life-cycle costs.

The proposed model combines a daily traffic profile, equipment power demand, coverage and utilization constraints, capital and operating expenditure, and discounted cash flows. Three strategies are compared: continuous operation, load-dependent power reduction and adaptive sleep of a subset of stations. Computational experiments for networks of 10, 25, 50 and 100 stations over a seven-year horizon show annual energy savings of 4.58% for power regulation and 10.56–11.47% for adaptive sleep. Positive net present value is reached at 79 stations for power regulation and at 55 stations for adaptive sleep.

The method can be used for preliminary selection of a distributed-network power-management architecture and for estimating the minimum economically feasible scale. The model can be calibrated using measured traffic profiles, actual equipment parameters and operator-specific cost data.

Dadonov V.A., Borisov I.A., Kuznetsov D.V. Dynamic model of techno-economic power management in a distributed base-station network // Science Intensive Technologies. 2026. V. 27. № 4. P. 73−80. DOI: https://doi.org/ 10.18127/j19998465-202604-07

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