Optimal energy efficiency-based antenna selection method for multi-user and large-scale antenna relay system

Abstract

The present invention discloses an optimal energy efficiency-based antenna selection method for a multi-user and large-scale antenna relay system. The system comprises a plurality of information source users, a plurality of information sink users and a relay station, wherein the number of the information source users is equal to the number of the information sink users. The information source users and the information sink users are pairwise coupled and the information transmission between the information source users and the information sink users is realized via the relay station within two time slots. All information source users and information sink users in the system are respectively provided with a single antenna. The relay station is provided with an antenna array of a large-scale number illustrated in the drawings of the abstract. According to the technical scheme of the invention, in order to realize that the energy efficiency of the system is maximal, the antenna number of the relay station is adopted as an optimization variable for the establishment of a mathematical model. Since no clear analytical expression is available for a target function of the above optimization problem, an approximately accurate analytical expression for the target function of the optimization problem is figured out firstly based on the law of large numbers in the large dimensional random matrix theory. After that, based the quasi-concave characteristics of the optimization variable in the analytical expression, an optimal antenna number closed-form solution for realizing the optimal energy efficiency is finally solved out by means of the Lambert W function at the same time.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an antenna selection method for a multi-user large-scale antenna relay system based on optimal energy efficiency. Background technique [0002] Since Professor Marzetta, a scientist at Bell Laboratories in the United States, proposed massive multiple-input multiple-output (referred to as massive MIMO) technology in 2010, this technology has attracted widespread attention from the industry and academia in the field of wireless communication in recent years due to its novel characteristics. , various well-known research institutions and research groups around the world have conducted in-depth research on this technology. The so-called massive MIMO technology refers to configuring a large number of antenna arrays at the base station to serve multiple users at the same time, and the order of magnitude of the antennas is much larger than that of the served u...

AI Technical Summary

Problems solved by technology

However, although the first method can better eliminate inter-user interference, it brings the overhead of additional time-frequency resources, resulting in a decline in the overall spectrum efficiency of the system.

The second method will greatly increase the complexity of the algorithm, and put forward higher requirements for the c

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