Research and Application of Automated Intelligent Planning Technology for Engineering Parameters of Communication Base Stations

The engineering parameters of communication base stations are the core assets of telecommunication operators. It directly determines the quality of the network and the perception of users. The current communication network has accumulated a large amount of wireless network big data, and adjusting base station engineering parameters based on user business data is an important scientific issue. This article proposes a technical solution for engineering parameter planning based on simulation iteration and artificial intelligence algorithms. This scheme is based on high-precision simulation, so it can predict the optimization effect in advance. This scheme adopts particle swarm optimization algorithm for intelligent optimization, achieving the goal of effectively improving the optimization effect. At the same time, we combine existing wireless big data to achieve precise engineering parameter planning based on the distribution of user business volume. Therefore, it can achieve the effect of stimulating traffic and maximizing investment return ratio. Furthermore, it is possible to achieve self intelligent network operation and maintenance. Application practice has shown that adopting this technical solution can reduce base station resource investment by 10
^%
and improve network quality by 19.9%, which is of great significance for actual network operation and maintenance.