电子学报 ›› 2018, Vol. 46 ›› Issue (4): 984-991.DOI: 10.3969/j.issn.0372-2112.2018.04.029

• 学术论文 • 上一篇    下一篇

基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法

谢显中, 张森林, 李丹, 雷维嘉   

  1. 重庆邮电大学个人通信研究所, 重庆 400065
  • 收稿日期:2016-05-23 修回日期:2017-04-13 出版日期:2018-04-25 发布日期:2018-04-25
  • 作者简介:谢显中 男,1966年出生,四川人.重庆邮电大学教授,博士生导师.主要研究方向为认知无线电、移动通信技术等.E-mail:xiexzh@cqupt.edu.cn;张森林 男,1987年生,四川人.现为重庆邮电大学通信与信息工程学院硕士研究生.主要研究方向为干扰对齐技术.E-mail:254945521@qq.com;李丹 女,1989年生,四川自贡人.现为重庆邮电大学通信与信息工程学院硕士研究生.主要研究方向为干扰对齐技术.E-mail:1160872086@qq.com;雷维嘉 男,1969年生,云南元谋人.重庆邮电大学教授,硕士生导师,主要研究方向为无线通信技术、嵌入式系统等.E-mail:leiwj@cqupt.edu.cn
  • 基金资助:
    国家自然科学基金(No.61271259,No.61301123,No.61471076);重庆市教委科学技术研究项目(No.KJ120501,No.KJ130536);长江学者和创新团队发展计划(No.IRT1299);重庆市科委重点实验室专项经费(CSTC)

Robust Joint Interference and Phase Alignment Algorithm Based on Bayes Estimation and Power Allocation Among Signal Flows

XIE Xian-zhong, ZHANG Sen-lin, LI Dan, LEI Wei-jia   

  1. Institute of Personal Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-05-23 Revised:2017-04-13 Online:2018-04-25 Published:2018-04-25

摘要: 针对信道状态信息(CSI)存在时延和误差的情况,本文提出了适用于多小区MIMO-BC的基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法.首先,发送端通过Bayes估计获得当前CSI的最佳估计;其次,通过最大化期望信号功率与小区间干扰功率的比值来设计干扰抑制矩阵;而在反向通信时,通过最大化信干比来设计预编码;进一步地,结合注水算法来优化功率分配.最后,采用相位对齐将数据流间的干扰旋转到目标接收数据流的信号空间中,进而增强目标数据流的接收功率.仿真表明,无论是在理想CSI还是时延误差CSI,本文算法较其他算法都有一定的性能优势.

关键词: 稳健干扰对齐, 时延误差, Bayes估计, 用户数据流间功率分配, 相位对齐

Abstract: In the case of the delay and error Channel State Information (CSI),a robust joint interference and phase alignment algorithm based on Bayes estimation and power allocation among signal flows is proposed for multi-cell MIMO-BC.Firstly,the best prediction of the current CSI is obtained through Bayes estimation by the senders.Secondly,interference suppression matrix is designed through maximizing signal to inter-cell interference plus noise ratio in the forward link,and the pre-coding matrix is designed through maximizing SINR in the reverse link.Further,the water-filling power allocation is used to optimize power allocation among signal flows.Finally,the interference among the data flows is rotated into signal space which improves the received power.Under the conditions of the perfect CSI and the delay and error CSI,the simulation results verify that the proposed algorithm improves the performance of system compared with the existing algorithms.

Key words: robust interference alignment, the delay and error, Bayes estimation, power allocation among signal flows, phase alignment

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