首页> 外文期刊>数字通信与网络(英文) >Channel estimation and channel tracking for correlated block-fading channels in massive MIMO systems
【24h】

Channel estimation and channel tracking for correlated block-fading channels in massive MIMO systems

机译:大规模MIMO系统中相关块衰落信道的信道估计和信道跟踪

获取原文
获取原文并翻译 | 示例
       

摘要

This paper presents a channel estimation and tracking method for correlated block-fading channels in massive MIMO wireless cellular systems.In order to conserve resources,the proposed algorithm requires the uplink pilot signal only once,at the start of communication.By utilizing the temporal correlation between consecutive Resource Blocks (RBs) and the error correction capability of turbo codes,the channel matrix in subsequent RBs is estimated at the Base Station (BS) itself using the uplink data of current the RB and the estimated channel matrix of previous the RB.Compared to existing blind estimation methods,the proposed method places fewer limitations on the system settings such as the number of BS antennas,the number of users,and the number of coherent channel usage compared to existing blind estimation methods.Simulation results show that the proposed algorithm provides better performance for a moderate RB size,a high-order of QAM scheme,and a smaller ratio of the number of BS antennas and mobile terminals (N/K).For a reasonably small N/K (order of 10),the proposed scheme achieves a lower symbol error probability than the conventional pilot-based estimation approach.
机译:本文介绍了大规模MIMO无线蜂窝系统中相关的块衰落通道的信道估计和跟踪方法。为了节省资源,该算法仅在通信开始时仅需要一次上行链路导频信号。使用时间相关性在连续资源块(RB)和Turbo代码的纠错能力之间,使用电流RB的上行链路数据和先前RB的估计信道矩阵在基站(BS)本身处估计后续RB中的信道矩阵。与现有的盲估计方法相比,所提出的方法对系统设置的限制较少,例如BS天线的数量,用户的数量和与现有盲估计方法相比的相干信道使用的数量。刺激结果表明提出的算法为中等RB大小,高阶QAM方案提供了更好的性能,以及BS Ant数量的较小比例ennas和移动终端(n / k)。对于合理的小n / k(10阶),所提出的方案比传统的基于试点的估计方法实现了较低的符号误差概率。

著录项

  • 来源
    《数字通信与网络(英文)》 |2018年第002期|138-147|共10页
  • 作者单位

    Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, Rajasthan, 342011, India;

    Department of Electrical Engineering, Indian Institute of Technology, Jodhpur, Rajasthan, 342011, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-19 03:49:04
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