一种基于阈值的无线异构网络基站分簇方法

韩东升; 丁莎莎; 余萍

doi:10.11959/j.issn.1000-0801.2015086

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一种基于阈值的无线异构网络基站分簇方法

研究与开发 | 更新时间：2024-06-05

- 一种基于阈值的无线异构网络基站分簇方法
- A Clustering Metbod Based on tbe Tbresbold in Wireless Heterogeneous Network
- 电信科学 2015年31卷第4期页码：92-97
- 作者机构：
- 作者简介：
  
  [ "韩东升，男，博士，华北电力大学电子与通信工程学院讲师，主要研究方向为无线通信新技术。" ]
  [ "丁莎莎，女，华北电力大学电子与通信工程学院硕士生，主要研究方向为异构无线通信。" ]
  [ "余萍，女，华北电力大学电子与通信工程学院副教授，主要研究方向为无线通信、信息处理。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61302106);河北省自然科学基金资助项目;Hebei Provincial Natural Science Foundation of China(F2014502029);中央高校基本科研业务费专项资金资助项目;Fundamental Research Funds for the Central Universities(2014MS100)
- DOI：10.11959/j.issn.1000-0801.2015086
  中图分类号：
- 网络出版日期：2015-04，
  
  纸质出版日期：2015-04-15
- 稿件说明：
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韩东升, 丁莎莎, 余萍. 一种基于阈值的无线异构网络基站分簇方法[J]. 电信科学, 2015,31(4):92-97.

Dongsheng Han, Shasha Ding, Ping Yu. A Clustering Metbod Based on tbe Tbresbold in Wireless Heterogeneous Network[J]. Telecommunications science, 2015, 31(4): 92-97.
韩东升, 丁莎莎, 余萍. 一种基于阈值的无线异构网络基站分簇方法[J]. 电信科学, 2015,31(4):92-97. DOI： 10.11959/j.issn.1000-0801.2015086.

Dongsheng Han, Shasha Ding, Ping Yu. A Clustering Metbod Based on tbe Tbresbold in Wireless Heterogeneous Network[J]. Telecommunications science, 2015, 31(4): 92-97. DOI： 10.11959/j.issn.1000-0801.2015086.

摘要

为抑制小区间干扰，提高系统性能，研究了异构网络中的基站分簇问题，提出了一种基于阈值的协作基站分簇方法。该方法在异构组网场景下，以最大化接收端传输速率为目标，通过选择满足设定阈值的基站进行协作，考虑了用户所属基站信号强度和非所属基站的干扰情况，分析了不同分簇方法下的用户传输速率变化情况。仿真结果表明，所提算法在系统传输速率性能方面优于现有方法。

Abstract

The base station clustering problems in wireless heterogeneous network to suppress the inter cell interference were studied.A clustering method based on the threshold

which can improve the system performance

was proposed.The method maximizes the transmission rate for the target under the heterogeneous network scenarios

then selecting the base stations meeting the threshold value to collaborate

at the same time considering the user belonging-base station's signal intensity and the no-belongings' interference.The receiver transmission rate in different clustering methods was analyzed.The simulation results show that the proposed method is better than the existing methods in the system transmission rate.

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references

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