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6 Frequently Asked Questions about “Evaluation of the capacity of communication base stations”
Why do communication base stations need a special analysis process?
In fact, the sitting of communication base stations requires a specific analysis process, so that the causes of post-earthquake failure problems can be known, and relevant preparations can be made at the communication base station sitting stage.
How are communication base station data collected?
The communication base station data from different seismic sources are randomly combined and randomly divided into training set and test set according to the ratio of 7:3. 70% of the training set data are used for learning and 30% of the test set data are used for testing.
What is a distributed collaborative optimization approach for 5G base stations?
In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G base stations considering communication load demand migration and energy storage dynamic backup is established.
What is Post-Earthquake Communication base station condition analysis?
The post-earthquake communication base station condition analysis is limited to the relationship between the tower type of the base station 11, building structure 12, etc. and the earthquake.
What factors affect a post-earthquake communication base station?
While ignoring that the damage of the post-earthquake communication base station is also related to many factors such as the geographical location of the base station, the distance from the earthquake source, the geography and geology between the earthquake source and the communication base station.
What is a collaborative optimal operation model of 5G base stations?
Afterward, a collaborative optimal operation model of power distribution and communication networks is designed to fully explore the operation flexibility of 5G base stations, and then an improved distributed algorithm based on the ADMM is developed to achieve the collaborative optimization equilibrium.