Full degree of freedom transmission protocol based three-cell multi-user joint power allocation method

Abstract

The invention discloses a full degree of freedom transmission protocol based three-cell multi-user joint power allocation method. A communication system comprises three cells. Each cell comprises a single antenna base station and two single antenna user terminals at the edge of the cell, and users at the edges of adjacent cells are closer. See the drawing in the abstract. According to the full degree of freedom transmission protocol, the system finishes signal transmission between three cells and their own user terminals in three time slots. The sequence of the time slots is shown in the drawing in the abstract. According to the power allocation method, with maximization of the system energy efficiency as the target and the assigned system minimum spectrum efficiency the constraint condition, a joint optimization model with the transmitting power from the base station to its own users as a variable is built. An objective function of an original optimization problem has quasiconvexity, the objective function is converted by use of a lagrangian multiplier method, and with the help of a Lambert W function, the optimal transmitting power closed form solution of the base station for its own users is obtained.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a three-cell multi-user joint power allocation method based on a full-degree-of-freedom transmission protocol. Background technique [0002] The interference problem in the multi-cell system has always been the focus of attention in the industry and academia, especially for the users at the edge of the cell, the interference from the own cell and the interference between adjacent cells are particularly serious, which has become a The bottleneck restricting the performance of cell edge users. Aiming at this problem, many methods based on different principles, such as interference management, interference suppression, interference alignment and interference cancellation, have been proposed in recent years to combat the interference phenomenon in multi-cell systems. The traditional methods to solve the problem of user interference at the edge of the cell ...

AI Technical Summary

Problems solved by technology

[0002] The interference problem in the multi-cell system has always been the focus of attention in the industry and academia, especially for the users at the edge of the cell, the interference from the own cell and the interference between adjacent cells are particularly serious, which has become a Bottleneck restricting user performance at cell edge

However, due to the complex form of the joint power allocation problem, it is very difficult to solve the optimization problem, and the closed form solution of the optimal power allocation scheme has not been obtained.

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