Study On AP Accurate Deployment Method Of WLAN Data Hotspot

Currently, the Internet voice services of GSM mobile communication network continued to grow and data services grow explosively. At this situation traffic balancing of explosive growth data services is needed urgently to promote coordinated development between networks. Thus, WLAN developed rapidly in recent years and become one of the major broadband access technology. However, with the expansion of the range of WLAN network construction and the number of users increases, large-scale WLAN network planning is increasingly important.This paper studied the mobile network data traffic hotspots and WLAN deployment strategies thoroughly and systematically. By analyzing the WIFI support capability of those terminals at data services hotspot area, temporal distribution of WIFI terminals and the resulting traffic distribution, and introducing the PSO algorithm to WLAN network AP station building program area, more rational optimization model of WLAN network AP station building was designed and implemented in this paper. Coverage area, throughput, channel configuration, equipment costs and other indexes were taken into account in this model and it can optimize WLAN network performance better and achieve more accurate WLAN network deployment strategies. The main contents of this paper are as follows:1、Analyzing the basic theory and process steps of WLAN network, by network coverage analysis, service type and traffic analysis, terminal support capacity analysis, WLAN hotspot area analysis, guide the design and implementation of AP station layout optimization model.2、Through the analysis and compare of several common optimization algorithms, we choose particle swarm algorithm to achieve WLAN network planning AP optimization. This paper analyzes the working principle, process, scope and advantages and disadvantages of basic Kalman filter, extended Kalman filter algorithm, particle filter algorithm and PSO filter algorithm.3、Based on the in-depth research of PSO and its existing improved algorithms, according to the existing problems of elementary particle, this paper integrate the EKF estimates and PSO into basic particle filter algorithm and proposed an improved particle filtering algorithm and theoretical analyze the forecasting performance of the algorithm.4、Using the improved particle swarm optimization algorithm proposed by this paper, we completed the simulation of AP optimization of WLAN network planning and by analyzing and comparing it is proved that the optimization algorithm proposed by this paper can get better network performance which is further proved that proposed algorithm is effective and practical.