首页> 外文会议>IEEE International Conference on Big Data and Smart Computing >A Cooperative Interference Eliminated Mechanism in MIMO Systems
【24h】

A Cooperative Interference Eliminated Mechanism in MIMO Systems

机译:MIMO系统中的协同干扰消除机制

获取原文

摘要

Multiple input multiple output (MIMO) can significantly improve the performance of wireless communication system due to transmission diversity and channel multiplexing. However, because of the use of massive antennas, both enabling technologies suffer from severe interference effects and energy loss problem, especially known as interference between users and energy dissipation caused by transmitter antenna at base station. In this paper, a practical cooperative eliminated interference mechanism is proposed for MIMO wireless communication system. We use the water-filling power algorithms to deal with the energy loss problem at the downlink transmitter. And then we combine the liner precoding algorithm with water-filling power algorithm, to solve the interference effects between users. We take the zero forcing (ZF) precoding algorithm and the maximum message leakage ratio (SLNR) precoding algorithm as an example to study this cooperative eliminated interference mechanism. The design is based on the key observation which is the system capacity and bit error rate. Simulation results show that this cooperative mechanism can improve the system performance better than precoding algorithm and water-filling power algorithm, which are executed individually. In addition, we can find that combining SLNR with water-filing power algorithm improves the system performance better than ZF algorithm.
机译:多输入多输出(MIMO)可以显着提高由于传输分集和信道复用导致的无线通信系统的性能。然而,由于使用大规模天线,所有能源技术都患有严重的干扰效应和能量损失问题,特别是被称为由基站的发射机天线引起的用户与能量耗散的干扰。本文提出了一种用于MIMO无线通信系统的实用协作消除干扰机制。我们使用水填充功率算法来处理下行链路发射器的能量损失问题。然后我们将衬里预编码算法与水填充功率算法相结合,以解决用户之间的干扰效应。我们采用零强制(ZF)预编码算法和最大消息泄漏比(SLNR)预编码算法作为研究该协同消除干扰机制的示例。该设计基于关键观察,这是系统容量和误码率。仿真结果表明,该协作机制可以提高系统性能,优于预编码算法和水填充功率算法,它们是单独执行的。此外,我们可以发现,将SLNR与水归档电源算法相结合,提高了比ZF算法更好的系统性能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号