Automatic maintenance and tuning method for 5G small base station equipment
A technology of automatic maintenance and small base station, applied in the field of 5G base station, it can solve problems such as affecting customer usage perception, small application scope, and no concern value.
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Embodiment 1
[0025] Such as figure 1 As shown, this application proposes an automatic maintenance and optimization system for 5G small base station equipment. The system mainly includes small base station equipment 1, user equipment 2 and early warning module 3. The early warning module 3 is installed on the small base station equipment 1, and it can interact with at least one monitoring device 101 configured in the small base station equipment 1, so as to collect and monitor relevant state parameters of the small base station equipment 1.
[0026] The equipment in the communication base station needs to run continuously 24 hours a day throughout the year. At the same time, the communication equipment generates a lot of heat and generates high humidity. The high temperature and high humidity environment cannot guarantee the normal operation of the communication equipment. In this regard, the small base station equipment 1 proposed in this application is equipped with at least one sensor an...
Embodiment 2
[0072] This embodiment may be a further improvement and / or supplement to Embodiment 1, and repeated content will not be repeated here. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementation mode of Embodiment 1 can be used as a supplement to this embodiment. On the basis of Example 1, such as figure 2 As shown, this embodiment proposes further improvements and / or supplements to the macro base station side mentioned in Embodiment 1. This embodiment proposes a method for quickly screening energy-saving cells at the macro base station side. The method may include one or more of the following steps:
[0073] Based on intelligent calculation, model and predict the historical business load data of each community. Under the limitation of dormancy wake-up frequency and / or cell value classification, the predicted daily traffic load is judged through the low-load time window. Determine at least one energy-saving cell and it...
Embodiment 3
[0080] This embodiment may be a further improvement and / or supplement to Embodiments 1 and 2, and the repeated content will not be repeated. In the case of no conflict or contradiction, the whole and / or part of the content of the preferred implementations of Embodiments 1 and 2 can be used as a supplement to this embodiment. On the basis of embodiment 1, 2, as figure 2 As shown, this embodiment proposes further improvements and / or supplements to the macro base station side mentioned in Embodiments 1 and 2.
[0081] This embodiment proposes a macro base station side that can quickly screen energy-saving cells. It is mainly to make full use of the unbalanced distribution of business traffic load in time and space under the background of 5G network deployment and the subsequent surge in energy consumption of the communication system. A network energy-saving solution that maximizes the resource utilization efficiency of base station equipment in the form of intelligent dormant b...
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