Single vacation based cellular network base station power control method
A power control and cellular network technology, applied in the field of mobile communication, can solve the problems of not fully considering node dormancy and service performance improvement, node delay dormancy, increasing node delay dormancy, node delay start, etc.
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Embodiment 1
[0096] Step 1: base station service queuing model;
[0097] The present invention is aimed at a special application scene, comes from practical application, and the scene setting is meticulous and reasonable, and has practical guiding significance. Such as figure 1 As shown, in the existing mobile communication system, compared with the macro cellular network, the small cell (Small Cell) can reduce the energy consumption. Miniaturized base stations can be deployed in densely populated areas or at the edge of existing macrocells to improve spectrum efficiency and energy utilization. However, due to the massive deployment of miniaturized base stations, about 440 million kWh of electricity will be consumed by 2020, constituting an additional 5% of the energy consumption of traditional macrocellular networks. However, small base stations have the advantage of reducing energy consumption at the cost of sacrificing coverage. Because a large number of small base stations need to be d...
Embodiment 2
[0140] The present invention further improves on the basis of Embodiment 1, and improves the solution efficiency of the optimization problem P1. The present invention proposes a new idea of solving the optimization problem P1, and adopts the Lagrangian multiplier method to search for optimization, and the speed is faster. Faster and less algorithmic complexity. Specifically, the solution of the optimization problem P1 can adopt the Lagrangian factor method:
[0141] L ( K V , P ‾ V , β ) = 1 λ ...
Embodiment 3
[0148] Embodiment 1 and Embodiment 2 solve the optimization problem P1, and the optimized variable is the average arrival number K of data packets in a vacation period V and the average energy consumption over a vacation period Then, in order to further guide the engineering practice and better control the energy-saving control parameters of the base station, we need to dig deeper into other control parameters and try to simplify the calculation amount of the optimal algorithm.
[0149] Next, we analyze formula (6) again, and notice that there is an important parameter K in the average stay time T V , in-depth research found that we can obtain the average arrival number K of data packets in a vacation period V The Z-transform of
[0150] T V ( S V ) = 1 2 λD ...
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