Optimal Simulation Design of Mobile Communication Attenuation Model Based on Ant Colony Algorithm

The main purpose of mobile communication attenuation model is to optimize the network equipment of operators and the types of actual services through theoretical simulation calculation. In this paper, the attenuation model of mobile communication is studied based on ACA (Ant Colony Algorithm). Ant travel only takes place in one direction and may be delayed in congested nodes. The role of an ant when it reaches a certain node will decrease with the increase of the age of the ant. According to the characteristics of different test environments, different simulation methods are given, and the influence of some important factors on signal transmission is emphatically simulated and analyzed. The simulation results of path loss in outdoor to indoor walking environment show that the path loss increases rapidly from 80db to 125db in the first 900mm. Moreover, the outdoor path loss is slightly larger than that indoors, because there are abundant outdoor shelters, especially those obstacles such as trees and vehicles on the path will have a certain impact on the logarithmic normal shadow fading. It can be seen that this method improves the accuracy of the predicted attenuation value and provides a more accurate prediction model for the optimization of mobile communication air interface network.