Abstract
For time and space constraints, 5G base stations will have more serious energy consumption problems in some time periods, so it needs corresponding sleep strategies to reduce energy consumption. Based on the analysis of 5G super dense base station network structure, through the analysis of current situation and user demand, a cluster sleep method based on genetic algorithm is constructed under the support of genetic algorithm, which can realize the dynamic matching of energy consumption in time domain and space, and the low load base station enters the sleep state. In order to verify the performance of the algorithm, the simulation network structure is built on the MATLAB platform, and the advantages of the algorithm in this study are obtained through comparative analysis, and the relevant test parameters are set for the technical performance analysis of this study. The research shows that the method proposed in this paper has a certain energy-saving effect, can meet the energy efficiency requirements of 5G ultra dense base station, and in the ultra dense base station group, the complexity can also meet the system operation requirements, which has a certain degree of practicality, and can provide reference for the follow-up related research.
Highlights
With the continuous development of mobile communication technology, people’s access to information and speed continue to improve, in the context of 5G network gradually popularized, a large number of base stations are in full swing
UDN technology is a heterogeneous network structure which is different from the traditional macro cellular network
Using the same method to study clustering algorithm, we find that clustering algorithm is close to genetic algorithm in energy efficiency improvement, so they have similar effect in the search of sleep strategy
Summary
With the continuous development of mobile communication technology, people’s access to information and speed continue to improve, in the context of 5G network gradually popularized, a large number of base stations are in full swing. UDN technology is a heterogeneous network structure which is different from the traditional macro cellular network This network structure has the characteristics of dense layout, high frequency reuse rate, and can effectively improve the network capacity. Based on the demand of green communication under the background of 5G growing popularity, this study analyzes the sleep algorithm of base station, explores the energy-saving technology of 5G base station, combines the Internet of things technology, collects network data with the support of sensors, and constructs a centralized dynamic sleep method based on genetic algorithm to realize the system network cluster management of high-density and large-scale base station groups, effectively reduce the energy loss of centralized base station group and improve the system stability. With the support of the Internet of things data collection system, the dynamic analysis of base station sleep is carried out to obtain the best network sleep strategy in the shortest time, so as to effectively reduce network energy consumption and achieve the expected purpose of base station energy saving
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