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异构无线网络中边缘用户小区选择算法
Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
- 电信科学 2015年31卷第12期 页码：52-57
- 作者机构：
- 作者简介：
[ "赵振东，男，华北电力大学电气与电子工程学院教授，主要研究方向为电力通信网和语音与图像处理。" ]
[ "牛伟娇，女，华北电力大学电气与电子工程学院硕士生，主要研究方向为异构无线通信。" ]
[ "韩东升，男，博士，华北电力大学电气与电子工程学院讲师，主要研究方向为无线通信新技术。" ]
[ "丁莎莎，女，华北电力大学电气与电子工程学院硕士生，主要研究方向为异构无线通信。" ]
- 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.1000-0801.2015340
中图分类号：-
网络出版日期：2015-12，
纸质出版日期：2015-12-20
- 稿件说明：
移动端阅览
赵振东, 牛伟娇, 韩东升, 等. 异构无线网络中边缘用户小区选择算法[J]. 电信科学, 2015,31(12):52-57.
Zhendong Zhao, Weijiao Niu, Dongsheng Han, et al. Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network[J]. Telecommunications science, 2015, 31(12): 52-57.
赵振东, 牛伟娇, 韩东升, 等. 异构无线网络中边缘用户小区选择算法[J]. 电信科学, 2015,31(12):52-57. DOI： 10.11959/j.issn.1000-0801.2015340.
Zhendong Zhao, Weijiao Niu, Dongsheng Han, et al. Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network[J]. Telecommunications science, 2015, 31(12): 52-57. DOI： 10.11959/j.issn.1000-0801.2015340.
摘要
在异构网络中，部署多种小功率基站，会出现大量的“小区边缘区域”，边缘用户的性能会受到影响。为此，提出了一种边缘用户小区选择算法，通过发送端进行预编码抑制干扰，提高用户接收到的信干噪比。根据小区当前用户数，动态地调整给微小区边缘用户参考接收信号添加的偏置值，避免边缘用户接入用户数过多的拥堵小区。仿真结果表明，该算法与参考算法相比，能够有效降低宏小区负载，平衡不同微小区间负载，提高轻载微小区的网络吞吐量和资源利用率。
Abstract
A large number of “cell-edge area”can arise when deploying a variety of low-power base stations in heterogeneous networks
this can affect the property of edge users. So a cell selection algorithm for edge user was proposed
by using the transmitting end to precoding to suppress interference and improve user received signal-to-interference-plus-noise-ratio（SINR）. According to the current number of user in the cell
dynamically adjust the reference received signal added bias to the picocell edge users
to avoid edge users accessing heavy loaded cells. The simulation results show that
compared with the reference algorithms
the proposed algorithm can effectively reduce the load of macrocells
balance the load between different picocells and improve the throughput and resource utilization of the light load picocells.
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Keywords
references
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