基于优化比特分配的有限反馈干扰对齐方案

谢显中; 李丹; 雷维嘉; 张森林

doi:10.11959/j.issn.1000-436x.2017215

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基于优化比特分配的有限反馈干扰对齐方案

学术论文 | 更新时间：2024-06-05

- 基于优化比特分配的有限反馈干扰对齐方案
- Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks
- 通信学报 2017年38卷第11期页码：1-12
- 作者机构：
  
  重庆邮电大学个人通信研究所，重庆 400065
- 作者简介：
  
  [ "谢显中（1966-），男，四川通江人，博士，重庆邮电大学教授、博士生导师，主要研究方向为干扰对齐、认知无线电、移动通信技术等。" ]
  [ "李丹（1989-），女，四川自贡人，重庆邮电大学硕士生，主要研究方向为干扰对齐技术。" ]
  [ "雷维嘉（1969-），男，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。" ]
  [ "张森林（1987-），男，重庆人，重庆邮电大学硕士生，主要研究方向为干扰对齐技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61271259);国家自然科学基金资助项目(61301123);国家自然科学基金资助项目(61471076);重庆市教委科学技术研究基金资助项目(KJ130536);长江学者和创新团队发展计划基金资助项目(IRT1299);重庆市科委重点实验室专项基金资助项目(CSTC2012zbsy006);安徽省教育厅基金资助项目(AQKJ2015B008)
- DOI：10.11959/j.issn.1000-436x.2017215
  中图分类号： TN929.53
- 网络出版日期：2017-11，
  
  纸质出版日期：2017-11-25
- 稿件说明：
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谢显中, 李丹, 雷维嘉, 等. 基于优化比特分配的有限反馈干扰对齐方案[J]. 通信学报, 2017,38(11):1-12.

Xian-zhong XIE, Dan LI, Wei-jia LEI, et al. Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks[J]. Journal on communications, 2017, 38(11): 1-12.
谢显中, 李丹, 雷维嘉, 等. 基于优化比特分配的有限反馈干扰对齐方案[J]. 通信学报, 2017,38(11):1-12. DOI： 10.11959/j.issn.1000-436x.2017215.

Xian-zhong XIE, Dan LI, Wei-jia LEI, et al. Interference alignment based on optimizing bit allocation with limited feedback in interfering MIMO-MAC networks[J]. Journal on communications, 2017, 38(11): 1-12. DOI： 10.11959/j.issn.1000-436x.2017215.

摘要

针对多小区MIMO上行链路中有限反馈干扰对齐方案的不足，给出一种基于优化比特分配的有限反馈干扰对齐方案。为克服低 SNR 时频谱效率的损失，通过最大化用户的信号功率与泄露到其他小区的干扰与噪声功率之和的比值来求预编码，基于最大化每个数据流的信干噪比来设计干扰抑制矩阵。进一步，为克服传统比特分配方案反馈比特利用度不高的问题，给出一种新颖的比特分配方案来改善比特分布，减小了量化误差的影响。仿真实验表明，本算法能有效减少量化误差对系统性能的影响并显著提高系统的比特利用率，使有限反馈CSI时的干扰对齐性能得以提升。

Abstract

A novel limited feedback for interference alignment algorithm was proposed based on the disadvantages of traditional limited feedback interference alignment schemes for MIMO uplink.Unlike the traditional linear interference alignment

an iterative scheme was presented.The pre-coder was designed through maximizing the target signal to the interference leakage and noise ratio

and interference suppression matrix was designed by maximizing the signal to interference plus noise ratio for each data stream

which can come over rate loss in low SNR.In addition

the bit allocation of traditional limited feedback schemes were based on the mean of interference leakage

which were not perfect and make the total number of the effective bits less than the bits provided by system.Thus

a novel bit allocation scheme was provided that improving bit utilize and decreasing quantization error.Theoretical analysis and simulation experiments show that compare to the existed classical algorithms

the algorithm was a stepwise enhancement of signal quality for iterative search in perfect CSI which was better than linear algorithm and has a larger space with no need for strictly align interference in limited feedback CSI which reduces the influence of quantization error more.The effective bit distribution and bit utilization are improved by bit allocation

resulting in improved performance in limited feedback.

关键词

Keywords

references

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