Research Of The SFN Tecnology In Wireless Network Planning Based The Lte-Advanced System

With the LTE-Advanced technology being taken more and more attention in the field of the communications, wireless network planning continues to be optimized in the LTE-Advanced system. One of the LTE-Advanced system’s new technologies relates to the SFN technique. There are many new technologies in LTE-Advanced system, such as the SFN technique, it has an important role in the inter-network planning optimization technology, network, and cell interference suppression. In this paper, as to the interference problem for wireless network planning, we proposed a corresponding improvement algorithm SFN algorithm, and we have completed the coding and testing of the corresponding network planning software tools.The paper includes the following parts.Firstly, this paper proposes SFN technology’s multi-RRU-one-cell technique, it takes an important role in high-speed rail scenes, interference-improving scenes and indoor coverage scenes, and there are several different ways for networking, which helps in the optimization of wireless network planning. This paper aims to improve the interference scenarios modeling algorithm and realize the function of improving inter-cell interference.Secondly, this paper applies SFN capacity to simulation technology, according to the simulation software implementation tools, we design algorithms modeling and module interface for the software, and finally we complete the network planning in software. In the process of SFN algorithm modeling, we achieve the SFN cell determination, the user a list of initial road design methods to calculate loss and interference calculations. We can bind properties of SFN, add which to the capacity of the simulation, and complete the actual optimization results.Finally, at the end of the paper, using the network planning software, we combine different maps scenes information on capacity analysis and compare the simulation results, and the main comparison was set to SFN cell situation, and none-SFN cell situation, and we get better results in the case of the cell SFN of the simulation, as a result, we complete the task of network planning optimization. In the end, we propose the follow-up study of SFN technology.