Research On Interference Coordination Technology In Small Area Scene

In recent years, by using lots of intelligent terminals, user’s requirement for data rate is higher and higher, in order to response to this trend, the 3GPP organization quickly advances LTE technology, commonly known as 4G. With the deepening of the technical research, heterogeneous network become an effective way to improve spectrum efficiency. So-called heterogeneous networks, in this article, it refers to small power station under the cover of the Macro cell such as tiny area base stations(Pico cell), home base stations(Femto cell) and so on. The network topology changes and shorts the distance between users and service station, greatly improving the user’s transmission channel condition, thereby enhance the transmission rate of users. However, due to the Macro cell with the same frequency deployment of micro base station, so it makes between neighborhood interference is very serious, how to reduce the interference of the network structure problem become a major technical challenge. In the future LTE-A heterogeneous network,under small cell scenario, people will be focus on the Inter-cell Interference Coordination technology.So far, ICIC/e ICIC technology mainly includes the frequency reuse, simple power control, the cell range extends(CRE) technology and almost blank frame(ABS), etc. These techniques in traditional heterogeneous network environment show a good performance, however, as the introduction of the small cell scenario, as a result of the base station coverage shortened, the differences between the center user and the cell edge users will become blurred, part of the frequency reuse technology is difficult to achieve, at the same time, increase the number of base stations and the shorter the distance of each other, CRE technologies and scheduling of ABS technology complexity increases.In this paper, we study the scenario in small cell. Power control will affect the performance of the system, this paper proposes a method which according to the users gain channel condition parameter and its own energy parameter, set their weight in the objective function, by solving the optimization of objective function to set the size of the transmitted power by the users. Finally, we can through the gradient descent method to solve the objective function of optimal solution. This scenario can reasonable balance the system throughput and energy consumption, and at the same time according to different actual situation gives different weighting factor, it concludes that the different transmission power, and to minimize the total power compared to maximize the Qo S, this scheme shows good performance on channel condition is good.On the other hand, in small cell, a simple power control of energy saving is limited, the consumption of energy on communication base station hardware work is huge and interference by power control between high-density deployment makes the base station to alleviate the space is limited, in order to solve this problem, the 3GPP organization put forward small cell close technology. Different cells close scheme will affect the performance of the system also are not identical, this article based on the change of system capacity in the area before and after closing, select system capacity to obtain the maximum gain district closed, so as to make the system capacity after cell closed can achieve the absolute increase, compared with the random close algorithm and close algorithm based on loading, this paper gives the simulation verification, proves that the algorithm on the performance of the system get improved.