基于迭代联合传输的超密集网络动态干扰协调方案

李晓娜; 王中方; 程谦; 付婧雯; 张顺亮

doi:10.11959/j.issn.1000-436x.2020032

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基于迭代联合传输的超密集网络动态干扰协调方案

学术通信 | 更新时间：2024-06-05

- 基于迭代联合传输的超密集网络动态干扰协调方案
- Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network
- 通信学报 2020年41卷第2期页码：176-186
- 作者机构：
  
  1. 中国科学院信息工程研究所，北京 100093
  2. 中国科学院大学网络空间安全学院，北京 100049
- 作者简介：
  
  [ "李晓娜（1986- ），女，辽宁沈阳人，中国科学院工程师，主要研究方向为移动通信、信息安全" ]
  [ "王中方（1987- ），男，河南南阳人，中国科学院工程师，主要研究方向为移动通信系统物理层安全" ]
  [ "程谦（1995- ），女，安徽池州人，中国科学院大学博士生，主要研究方向为干扰消除、非正交多址接入" ]
  [ "付婧雯（1990- ），女，河北沧州人，中国科学院工程师，主要研究方向为无线通信技术" ]
  [ "张顺亮（1974- ），男，陕西西安人，博士，中国科学院高级工程师，主要研究方向为移动通信网络与安全技术" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2017YFB0801900);国家自然科学基金资助项目(61501459)
- DOI：10.11959/j.issn.1000-436x.2020032
  中图分类号： TN929.5
- 网络出版日期：2020-02，
  
  纸质出版日期：2020-02-25
- 稿件说明：
移动端阅览
李晓娜, 王中方, 程谦, 等. 基于迭代联合传输的超密集网络动态干扰协调方案[J]. 通信学报, 2020,41(2):176-186.

Xiaona LI, Zhongfang WANG, Qian CHENG, et al. Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network[J]. Journal on communications, 2020, 41(2): 176-186.
李晓娜, 王中方, 程谦, 等. 基于迭代联合传输的超密集网络动态干扰协调方案[J]. 通信学报, 2020,41(2):176-186. DOI： 10.11959/j.issn.1000-436x.2020032.

Xiaona LI, Zhongfang WANG, Qian CHENG, et al. Dynamic interference coordination scheme based on the iterative joint transmission in ultra dense network[J]. Journal on communications, 2020, 41(2): 176-186. DOI： 10.11959/j.issn.1000-436x.2020032.

摘要

鉴于超密集网络中急剧增长的小区和用户数量，研究了如何通过合理地选择联合传输用户来实现动态干扰协调，以此提高小区边缘用户频谱效率。通过动态协作簇划分和动态联合静默传输2种手段，将所有用户分类；再利用迭代优化算法进一步提高系统性能，同时解决了联合传输用户的数量选择问题。仿真结果表明，与传统的协作多点方案相比，所提方案在不损失小区平均频谱效率的前提下，在小区边缘频谱效率方面存在显著的性能增益。

Abstract

In consideration of the rapidly increasing number of cells and users in the ultra-dense network

how to realize dynamic interference coordination by selecting the appropriate joint transmission users was studied

so as to improve the spectral efficiency of the edge users.All users were classified by dynamic coordination cluster division and dynamic joint-muting transmission.The iterative optimization algorithm was used to further improve the system performance and solve the problem of selecting the number of joint transmission users.The simulation results prove that compared with the conventional CoMP JT scheme

the proposed scheme has significant performance gains in the cell edge spectral efficiency without reducing the cell average spectral efficiency.

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Keywords

references

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