异构云无线接入网络中的波束成形算法

左加阔; 杨龙祥; 鲍楠

doi:10.11959/j.issn.1000-436x.2019170

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异构云无线接入网络中的波束成形算法

学术论文 | 更新时间：2024-06-05

- 异构云无线接入网络中的波束成形算法
- Beamforming for heterogeneous cloud radio access network
- 通信学报 2019年40卷第8期页码：45-53
- 作者机构：
  
  1. 南京邮电大学物联网学院，江苏南京 210023
  2. 南京邮电大学通信与信息工程学院，江苏南京 210023
- 作者简介：
  
  [ "左加阔（1985- ），男，山东枣庄人，博士，南京邮电大学讲师，主要研究方向为云无线接入网络资源管理、无线通信网络能效优化等。" ]
  [ "杨龙祥（1966- ），男，江苏盐城人，博士，南京邮电大学教授、博士生导师，主要研究方向为网络编码与协调通信、泛在网络与物联网技术、移动通信系统设计与优化等。" ]
  [ "鲍楠（1985- ），女，江苏镇江人，博士，南京邮电大学讲师，主要研究方向为异构网络资源优化和干扰抑制等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61801237);国家自然科学基金资助项目(61701255);江苏省博士后基金资助项目(SBH17024);江苏省高校自然科学基金资助项目(15KJB510026);江苏省自然科学基金资助项目(BK20150866);南京邮电大学科研项目——引进人才科研启动基金资助项目(NY215046);南京邮电大学科研项目——引进人才科研启动基金资助项目(NY217056)
- DOI：10.11959/j.issn.1000-436x.2019170
  中图分类号： TN92
- 网络出版日期：2019-08，
  
  纸质出版日期：2019-08-25
- 稿件说明：
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左加阔, 杨龙祥, 鲍楠. 异构云无线接入网络中的波束成形算法[J]. 通信学报, 2019,40(8):45-53.

Jiakuo ZUO, Longxiang YANG, Nan BAO. Beamforming for heterogeneous cloud radio access network[J]. Journal on communications, 2019, 40(8): 45-53.
左加阔, 杨龙祥, 鲍楠. 异构云无线接入网络中的波束成形算法[J]. 通信学报, 2019,40(8):45-53. DOI： 10.11959/j.issn.1000-436x.2019170.

Jiakuo ZUO, Longxiang YANG, Nan BAO. Beamforming for heterogeneous cloud radio access network[J]. Journal on communications, 2019, 40(8): 45-53. DOI： 10.11959/j.issn.1000-436x.2019170.

摘要

针对现有异构云无线接入网络的研究主要集中在单个蜂窝网络场景，仅考虑了蜂窝网络内部干扰，忽略了蜂窝网络间干扰的问题，研究了多个蜂窝网络共存场景下的H-CRAN，通过最大化系统总传输速率，对宏基站和无线远端射频单元的波束成形向量进行联合优化。基于交替优化算法和拉格朗日对偶方法，提出了一种 MBS和RRH波束成形向量联合优化算法。首先将原优化问题分解为2个子优化问题，然后通过迭代的求解这2个子优化问题得到原优化问题的最终解。另外，根据拉格朗日对偶方法推导出了MBS和RRH波束成形向量的闭式表达式。在仿真实验中，将所提算法与其他波束成形算法进行了比较，实验结果证明，所提算法能够较好地改善系统传输速率。

Abstract

To overcome the problem that previous researches for heterogeneous cloud radio access network (H-CRAN) mainly focus on single macro cell

and only considered the intracell interference in the one macro cell

while the inter cell interferences among different macro cells are neglected

H-CRAN with multiple macro-cells was studied

and the objective was to maximize system sum-rate through jointly optimizing the beamforming vectors of macro base stations (MBS) and remote radio heads (RRH).Based on alternating optimization and Lagrangian dual method

a joint MBS and RRH beamforming algorithm was proposed.The original problem was first divided into two subproblems.Then

the two sub-problem were solved alternately to obtain the final solutions of the original problem.In addition

the closed expression solutions of the two sub-problem were derived based on Lagrangian dual method.The proposed algorithm was compared with some beamforming algorithms in the simulation.The experimental results demonstrate the proposed algorithm has a better performance in improving the sum-rate of H-CRAN.

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references

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