Large-scale MIMO downlink power distribution method based on energy efficiency and spectral efficiency joint optimization

Abstract

The invention provides a large-scale MIMO downlink beam domain power distribution method based on energy efficiency and spectral efficiency joint optimization. In the method, a base station configures a large-scale antenna array, generates a large-scale beam set covering the whole cell through beam forming so as to serve a plurality of users at the same time, and implements energy efficiency spectrum effect joint optimization power distribution according to statistical channel state information of each user. The objective of power distribution optimization is to meet the system power constraint and maximize the weighted sum of energy efficiency and spectral efficiency, and a series of quasi-concave optimization problems are iteratively solved by utilizing a deterministic equivalence principle and an MM method to obtain a locally optimal power distribution matrix. In each iteration process, the quasi-concave optimization problem is decomposed into an inner layer optimization problem for solving an optimal power distribution matrix under given transmission power to maximize the system and the rate, and an outer layer optimization problem for solving the optimal transmission power. The realization complexity is low, the energy efficiency and the spectral efficiency of large-scale MIMO downlink communication can be effectively improved, and the balance between the energy efficiency and the spectral efficiency is realized.

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

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