Large-scale mimo downlink power allocation method based on joint optimization of energy efficiency and spectral efficiency

Abstract

The invention proposes a large-scale MIMO downlink beam domain power allocation method for joint optimization of energy efficiency and spectral efficiency. In this method, the base station configures a large-scale antenna array, and generates a large-scale beam set covering the entire cell through beamforming to serve multiple users at the same time. The base station implements power allocation based on the statistical channel state information of each user to jointly optimize energy efficiency and spectral efficiency. The goal of power allocation optimization is to satisfy the system power constraints and maximize the weighted sum of energy efficiency and spectral efficiency. Using the deterministic equivalence principle and MM method, iteratively solve a series of quasi-concave optimization problems to obtain a locally optimal power allocation matrix. In each iteration process, the quasi-concave optimization problem is decomposed into an inner layer optimization problem to find the optimal power allocation matrix to maximize the system and rate under a given transmission power, and an outer layer optimization problem to solve the optimal transmission power Optimization. The invention has low implementation complexity, can effectively improve the energy efficiency and spectrum efficiency of massive MIMO downlink communication, and realize the balance between the two.

Description

technical field [0001] The invention belongs to the communication field, and in particular relates to a large-scale Multiple-Input Multiple-Output (MIMO) downlink beam-domain power allocation method for joint optimization of energy efficiency and spectrum efficiency using a large-scale antenna array and statistical channel state information. Background technique [0002] In a massive MIMO system, the base station uses a large-scale antenna array to serve multiple users at the same time. The use of massive MIMO technology can effectively reduce the interference between users and greatly improve the energy efficiency and spectral efficiency of wireless communication systems. In the massive MIMO downlink transmission process, the base station converts the transmitted signal to the beam domain through unitary transformation, and performs signal transmission in the beam domain channel, making full use of the spatial angle resolution of the large-scale antenna array and the user c...

AI Technical Summary

Problems solved by technology

For the problem of maximizing the weighted sum of energy efficiency and spectral efficiency, it is usually difficult to solve because the objective function is a fraction and the numerator is a non-convex function

In addition, when the number of antennas on the base station side is large, the solution complexity is very high

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