...
首页> 外文期刊>Wireless personal communications: An Internaional Journal >Joint Beamforming and Power Control for Downlink Multi-cell Massive MIMO System
【24h】

Joint Beamforming and Power Control for Downlink Multi-cell Massive MIMO System

机译:下行链路多电池大量MIMO系统的关节波束形成和功率控制

获取原文
获取原文并翻译 | 示例
           

摘要

This paper is concerned with joint beamforming and power control for downlink multi-cell massive multiple-input and multiple-output system. The finite system analysis and large system analysis are successively made for two different system configurations. When base station (BS) antenna number and user number per cell are not large, the finite system analysis of single cell is extended to the multi-cell case after problem reformulation. With the Perron-Frobenius theory and alternative optimization, the dual uplink power and beamformers can be calculated iteratively. Based on the iteration result and the uplink-downlink duality, the final solution is obtained. However, when BS antenna number and user number are large, the large system analysis is employed. In order to reduce computation complexity, the dual uplink power is approximated by its asymptotic equivalent. First, the asymptotic expression of signal to interference plus noise ratio is derived via random matrix theory. Next, the power control problem is reformulated in the asymptotic regime to obtain the asymptotic dual uplink power. As the asymptotic dual uplink power only depends on the second order statistic, it does not require updating along with the channel state information instantaneously. As a result, the computation complexity is drastically reduced.
机译:本文涉及用于下行链路多电池大量多输入和多输出系统的关节波束形成和功率控制。连续进行有限系统分析和大型系统分析,用于两种不同的系统配置。当基站(BS)天线号码和每个单元的用户号码不大时,在问题重构后,单个单元的有限系统分析延伸到多个单元案例。通过珀罗 - Frobenius理论和替代优化,可以迭代地计算双上行链路功率和波束形成器。基于迭代结果和上行以下下行链路二元性,获得最终解决方案。但是,当BS天线号码和用户号码很大时,采用大系统分析。为了降低计算复杂性,双上行链路功率由其渐近等价物近似。首先,通过随机矩阵理论导出信号与干扰加噪声比的渐近表达。接下来,电力控制问题在渐近制度中重新重整以获得渐近双上行电力。随着渐近双上行电源仅取决于二阶统计,它不需要立即更新频道状态信息。结果,计算复杂性大幅减少。

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