Method for suppressing interference of Femtocell on surrounding cells

Abstract

The invention discloses a method for suppressing interference of Femtocells on surrounding cells. The method comprises the steps of 1, providing a new standard, wherein the greater the total interference of the Femtocells on the surrounding cells is, the severer the transmitting powers of the Femtocells are limited; 2, designing a cost function in direct proportion to interference leakage based on the standard; and 3, on this basis, providing a non-cooperative power control game model based on a non-cooperative game theory, and giving a self-adaption power control algorithm according to the game model. When the layout density of the Femtocells is increased, the link capacity of the macrocell users is not reduced due to the increased layout density, and the capacity is 1.5 to 2.2 times of the capacity obtained when a constant power control algorithm is applied. According to the algorithm provided by the invention, the interference of the Femtocells on the surrounding cells can be suppressed relatively well; moreover, the transmitting powers of all Femtocell stations can reach stable values rapidly; and the convergence speed of the algorithm is rapid.

Description

technical field [0001] The present invention mainly relates to power control and interference suppression technology in the field of wireless communication, and in particular to a method based on a non-cooperative game-based Femtocell downlink power control algorithm for suppressing Femtocell interference to surrounding cells, covering the impact of Femtocell networks on traditional macro cell networks Cross-layer interference and co-channel interference suppression between Femtocells and user fairness are taken into account. Background technique [0002] At the beginning of the 21st century, wireless communication technology has been continuously and rapidly developed, and the data services and multimedia services supported by it are also increasing day by day. In the near future, more than two-thirds of the voice services and 90% of the data services in these rapidly growing services will take place in the indoor environment. The current cell structure (including macro ce...

AI Technical Summary

Problems solved by technology

The centralized processing solution needs the centralized processing of global information, which is difficult to realize in practice, while the distributed processing solution only needs local information, but can only guarantee the service quality of macro cell users; the self-correction of Femtocell transmit power and carrier frequency The automatic selection scheme can effectively guarantee the quality of service of macro cell users, but the spectrum utilization efficiency is low; the Femtocell system is regarded as a multi-agent system (Multi-agent), that is, FemtoBS is an agent responsible for Radio Resource allocation; using queuing theory To perform user selection and distributed power allocation to suppress the cross-layer interference of Femtocell to Macrocell, and minimize the sum of transmit power under the condition of meeting the user data rate requirements. The disadvantage of this type of method is that it is difficult to obtain the optimal system capacity.

In addition, game theory is used to control the power of Femtocell downlink, focusing on the fairness among Femtocell users. The disadvantage of this type of method is that it cannot achieve the minimum sum of interference to surrounding cells, and its Nash equilibrium solution is obtained by searching , slow convergence

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