The Design And Implementation Of Optimization System On WLAN

In recent years, with the rapid development of intelligent terminal, the function of user terminals are becoming more and more powerful.Customers’demand for high speed date business are also increasingly urgent. WLAN technology has become an important supplement to2Gand3G network for the reason that it owns the advantage of low cost and it’s easy to be planed and installed, bearing the task of sharing pressure coming from the mobile network. In china, all the major communication operators pay great attention to the development of WLAN technology and the construction of WLAN network has been accelerated. At the same time, the problems of WLAN construction, practical application and later optimization have been caused with the high speed of WLAN construction.At present APs are laid too much and dense, unreasonable, causing excessive interference problems. How to solve these problems has become a hot topic of current research on WLAN. However, the existing WLAN planning and optimal method search has its shortcomings.A lot of them take the index of WLAN capacity as the main reference, which is not that comprehensive. At the same time, the existing WLAN optimization tools do not fully consider the needs of users, providing optimization scheme of multi angles.In view of the questions above, this paper presents a new system of WLAN network planning and optimization and focus on the planning and optimization algorithm.In the planning and optimization algorithm purposed by this paper, wireless network environment such as the distribution of users and APs belong to different network has been fully taken into consideration. At the same time, considering the actual needs of the users’,artificial intervention function is added into the planning and optimization algorithm, optimization scheme of multi angles has been set out in the optimization algorithm. In this way, needs of different scenarios of the user are meted. Algorithm is a part of the system, we use the system completed and a real WLAN hot spot to verify the reliability of the algorithm.The experimental results show that the testing and network index have been greatly improved with the help of the optimization scheme provided by the system.