Research of Wireless Network Coverage Self-Optimization Based on Node Self-Adaption Model
Bojian Xu · 2016
This paper points that nowadays, the widely disseminated wireless network with base stations and founds the Node Self-Optimization Model which treats stations as research objects in order to enable the BSs (base stations) to regulate the signal transmitting power by themselves; at meanwhile, under the analysis of actual wireless signals' transmitting conditions, an unique Path-Loss Model with probability factor which has never been considered before has been established, in this sense, the proper power value for BS which is able to meet certain coverage can be educed more accurately through calculation so that the wireless network's coverageshortage problem can be solved thoroughly.In addition, for the optimization of BSs' power by using efficiency of the whole network, we introduce the coverage overlapping ratio as a building block of designing macro power regulating arithmetic and then find the Redundancy-Optimization Algorithm.In comparison with the conventional power configuration of BSs, the utilization of this algorithm is able of declining the coverage redundancy and thus increasing the overall power by using the efficiency effectively.