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Analysis of Interference Alignment Based Multi-User MIMO Precoding
Radioelectronics and Communications Systems Pub Date : 2022-01-28 , DOI: 10.3103/s0735272721110054
A. D. Borah 1 , Md. A. Hussain 1 , J. Bora 1
Affiliation  

Abstract

Interference mitigation for better system performance is highly significant in the modern communication systems. Rising day to day demand for wireless communication has introduced some new research efforts in terms of spectrum efficiency, maximum possible user rates, and the reuse of frequency spectrum and minimum level of interference. Interference alignment (IA) is a novel way to mitigate the inter-cell interference (ICI) of a network that leads to a better system performance. One effective technique behind this scheme is to align the interfering signal from each transmitter of neighboring cell into a predefined direction, and obtain the receive antenna combining vector of each user. With the perfect channel state information and having a feedback system with the cell base station transmitter, the IA system can increase the system sum-rate. Increasing the cell edge spectral efficiency in the cellular system is one of the prime performance factors. This paper is based on the cell edge users of a cellular communication system. Scheduling techniques for the selection of best users and antennas from large groups of users and antennas, respectively, are used in this paper. This article deals with a precoder design, with antenna and user selection techniques based on partial IA in two-cell and three-cell networks of a downlink MU-MIMO system. A comparative analysis was made on the system performance by using the singular value decomposition (SVD) based precoding and geometric mean decomposition (GMD) based precoding techniques. In this study the LTE codebook is used, which is known both to the transmitter and the receiver.



中文翻译:

基于干扰对齐的多用户MIMO预编码分析

摘要

在现代通信系统中,为了更好的系统性能而减轻干扰是非常重要的。对无线通信的日益增长的需求已经在频谱效率、最大可能的用户速率以及频谱的重用和最小干扰水平方面引入了一些新的研究工作。干扰对齐 (IA) 是一种减轻网络小区间干扰 (ICI) 的新方法,可带来更好的系统性能。该方案背后的一种有效技术是将来自相邻小区的每个发射机的干扰信号对准预定方向,并获得每个用户的接收天线组合向量。通过完善的信道状态信息和与小区基站发射机的反馈系统,IA系统可以提高系统和率。提高蜂窝系统中的小区边缘频谱效率是主要性能因素之一。本文基于蜂窝通信系统的小区边缘用户。本文使用了分别从大量用户和天线中选择最佳用户和天线的调度技术。本文处理预编码器设计,在下行链路 MU-MIMO 系统的两小区和三小区网络中使用基于部分 IA 的天线和用户选择技术。采用基于奇异值分解(SVD)的预编码和基于几何平均分解(GMD)的预编码技术对系统性能进行了比较分析。在本研究中,使用了发射机和接收机都知道的 LTE 码本。

更新日期:2022-01-28
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