Research On Interference Coordination Technology Based Femtocell LTE-A Heterogeneous Network

With the development of wireless mobile communication technology, the demand for mobile users become more diverse, this gives the network coverage and capacity to new challenges. Conventional single-layer cellular structure performance and enhance the user experience is limited, can not meet the growing needs. Therefore, the heterogeneous networks is presented. LTE-A heterogeneous network is the introduction of low-emission power in the traditional single macro cell network of Small Cell, including Femtocell, picocell and so on. After the introduction of Small Cell heterogeneous networks, it can effectively improve system capacity and network performance, but it also had a negative impact due to the increased complexity of network structure so that the interference is more complex.This paper studies the interference coordination based Femtocell LTE-A heterogeneous networks. Firstly, we introduce the Femtocell technology and research status in detail. Secondly, We analyze the two-layer heterogeneous network interference scenario and the existing interference coordination technology. Finally, we propose two solutions to resolve the interference coordination heterogeneous network interference problems.(1). For single macrocell scenarios, we proposed cognitive graph coloring based on partial spectrum sharing method to solve cross-tier and co-tier interference problems. By sharing the entire band and a dedicated portion of division, the introduction of cognitive radio techniques to detect the spectrum reaches resolve cross-layer interference purposes, while using the graph coloring layer principle to solve the interference problem with simulation results show that the scheme not only improves the overall network throughput, but also on user performance by serious interference were effectively protected.(2). For multi-macrocell scenario, we proposed frequency reuse based on load forecasting and Coordinated Multi Point Transmission and Reception(Co MP) method to solve cross-tier and co-tier interference problems. First, through the introduction of fractional frequency reuse scheme can more effectively address cross-layer interference between cells, and then through the edge of the load values of Q-learing algorithm to predict the cell, according to the predictive value of using Co MP technology rational allocation of spectrum resources, to enhance edge user throughput amount is achieved, thereby increasing the overall throughput of the cell-edge area.