异构网络中小区间联合干扰协调算法研究

姜来为; 吴宣利; 张乃通

doi:10.11959/j.issn.1000-436x.2016040

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异构网络中小区间联合干扰协调算法研究

学术论文 | 更新时间：2024-06-05

- 异构网络中小区间联合干扰协调算法研究
- Joint optimization algorithm for enhanced inter-cell interference coordination in heterogeneous networks
- 通信学报 2016年37卷第2期页码：144-151
- 作者机构：
  
  哈尔滨工业大学通信技术研究所，黑龙江哈尔滨150080
- 作者简介：
  
  [ "姜来为（1986-），女，黑龙江哈尔滨人，哈尔滨工业大学博士生，主要研究方向为LTE-A资源分配及干扰协调、认知无线电、信号处理等。" ]
  [ "吴宣利（1980-），男，满族，黑龙江哈尔滨人，博士，哈尔滨工业大学副教授、博士生导师，主要研究方向为超宽带无线通信技术、LTE-A 资源分配及干扰协调、协作通信等。" ]
  [ "张乃通（1934-），男，江苏扬州人，中国工程院院士，哈尔滨工业大学教授、博士生导师，主要研究方向为超宽带通信、卫星通信、专用移动通信、LTE-A系统等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61171110);国家重点基础研究发展计划（“973”计划）基金资助项目(2013CB329003)
- DOI：10.11959/j.issn.1000-436x.2016040
  中图分类号： TN929.5
- 网络出版日期：2016-02，
  
  纸质出版日期：2016-02-15
- 稿件说明：
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姜来为, 吴宣利, 张乃通. 异构网络中小区间联合干扰协调算法研究[J]. 通信学报, 2016,37(2):144-151.

Lai-wei JIANG, Xuan-li WU, Nai-tong ZHANG. Joint optimization algorithm for enhanced inter-cell interference coordination in heterogeneous networks[J]. Journal on communications, 2016, 37(2): 144-151.
姜来为, 吴宣利, 张乃通. 异构网络中小区间联合干扰协调算法研究[J]. 通信学报, 2016,37(2):144-151. DOI： 10.11959/j.issn.1000-436x.2016040.

Lai-wei JIANG, Xuan-li WU, Nai-tong ZHANG. Joint optimization algorithm for enhanced inter-cell interference coordination in heterogeneous networks[J]. Journal on communications, 2016, 37(2): 144-151. DOI： 10.11959/j.issn.1000-436x.2016040.

摘要

研究了如何在 LTE-Advanced系统异构网络中通过有效的增强型小区间干扰协调提高系统总吞吐量问题。通过分析网络中存在的干扰，建立数学模型，提出了一种基于减少发射功率几乎空白子帧的小区间联合干扰协调算法，利用优化方法研究系统总吞吐量和减少发射功率几乎空白子帧之间的关系，实现了最大化系统吞吐量，同时解决宏基站分配多少资源给微微小区，以及用户的接入选择问题。仿真结果表明，所提方法和对比方法相比，系统总吞吐量有19.8%提升，可以达到算法上限的97.4%，适用于对系统总吞吐量要求较高，而边缘用户性能要求较低的场景。

Abstract

The total system throughput was improved by means of enhanced inter-cell interference coordination (eICIC)in heterogeneous networks(HetNets)in LTE-Advanced system. Through analyzing the existing system interference

mathematical model was established and a joint optimization algorithm for eICIC was raised based on the reduced power almost blank subframe. By using this optimized method

the relationship between the total system throughput and the re-duced power almost blank subframe was studied

so as to realize the maximized total system throughput and solve the problems of the amount of radio resources that macro cells should offer to pico cells and UE assignments. Simulation re-sults show that

compared with the comparative method

the proposed method has 19.8% improvement in the total system throughput and the optimality gap is 97.4%. Conclusions can be drawn that the proposed method is suitable for the scene where the total system throughput requirement is relat vely high while the performance of the edge user requirement is relatively low.

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Keywords

references

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