Achieving High Energy Efficiency for Network Slicing-Enabled 5G
With the rapid advancement of 5G networks, data-intensive services has been surging and significantly increasing energy consumption. It is a critical challenge in addressing
In this paper, hybrid energy utilization was studied for the base station in a 5G network. To minimize AC power usage from the hybrid energy system and minimize solar energy waste, a Markov decision process (MDP) model was proposed for packet transmission in two practical scenarios.
Each nation has a different 5G strategy. For 5G, China uses 3.5GHz as the frequency. Then, a 5G base station resembles a 4G system, but it's on a much larger scale. For sub-6GHz in 5G, let's say you have a macro base station. The power levels at the antenna range from 40 watts, 80 watts or 100 watts.
In addition, none of the previous works linked practical transmission scenarios for the MDP model with the study of trade-off among three elements: the minimum dropped packet ratio, the minimum the wastage of solar energy harvesting (SEH), and the minimum AC power utilization was achieved for a 5G base station using the proposed MDP method.
Besides, utilizing renewable energy sources in supplying cellular base station (BS) opens the door for multiple benefits. First, the global greenhouse gas (GHG) radiations are decreased significantly. Also, it produces more environmentally friendly such as to reduce foot carbon.
The hybrid system model is clarified in Section 2, which describes the MDP formulation for transmission probabilities, and the transmission scheme for two practical scenarios. The simulation results are presented in Section 3, and concluding remarks are provided in Section 4.
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