Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network

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 imp...

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Main Authors: Zhendong Zhao, Weijiao Niu, Dongsheng Han, Shasha Ding
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-12-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015340/
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author Zhendong Zhao
Weijiao Niu
Dongsheng Han
Shasha Ding
author_facet Zhendong Zhao
Weijiao Niu
Dongsheng Han
Shasha Ding
author_sort Zhendong Zhao
collection DOAJ
description 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.
format Article
id doaj-art-bc0c0574248d42e7be26e76a81b3f31b
institution Kabale University
issn 1000-0801
language zho
publishDate 2015-12-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-bc0c0574248d42e7be26e76a81b3f31b2025-01-15T03:15:47ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-12-0131525759611353Cell Selection Algorithm for Edge Users in Heterogeneous Wireless NetworkZhendong ZhaoWeijiao NiuDongsheng HanShasha DingA 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015340/heterogeneous networkcell selectionload balancingthroughput
spellingShingle Zhendong Zhao
Weijiao Niu
Dongsheng Han
Shasha Ding
Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
Dianxin kexue
heterogeneous network
cell selection
load balancing
throughput
title Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
title_full Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
title_fullStr Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
title_full_unstemmed Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
title_short Cell Selection Algorithm for Edge Users in Heterogeneous Wireless Network
title_sort cell selection algorithm for edge users in heterogeneous wireless network
topic heterogeneous network
cell selection
load balancing
throughput
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015340/
work_keys_str_mv AT zhendongzhao cellselectionalgorithmforedgeusersinheterogeneouswirelessnetwork
AT weijiaoniu cellselectionalgorithmforedgeusersinheterogeneouswirelessnetwork
AT dongshenghan cellselectionalgorithmforedgeusersinheterogeneouswirelessnetwork
AT shashading cellselectionalgorithmforedgeusersinheterogeneouswirelessnetwork