Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process
In the existing heterogeneous cellular networks (HCN),the rapid increasing of small cells caused a problem that the hotspots where users were clustered generated a huge amount of energy consumption.To improve the energy efficiency of the networks,the spatial model was researched.The users in hotspot...
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Editorial Department of Journal on Communications
2019-10-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019184/ |
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author | Minglu JIN Nan GUO |
author_facet | Minglu JIN Nan GUO |
author_sort | Minglu JIN |
collection | DOAJ |
description | In the existing heterogeneous cellular networks (HCN),the rapid increasing of small cells caused a problem that the hotspots where users were clustered generated a huge amount of energy consumption.To improve the energy efficiency of the networks,the spatial model was researched.The users in hotspots in the HCN were modeled as the Thomas cluster process,combined with the max mean bias received signal power (max-BRP) strategy to achieve base station load balancing,and the user’s association probability,coverage probability and the network’s energy efficiency were derived using tool from stochastic geometry.The simulation shows that the derived formulas are accurate,and the network’s energy efficiency can be greatly improved by setting appropriate bias factors. |
format | Article |
id | doaj-art-fc09d54291304bbb9bdd5395cd236e99 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2019-10-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-fc09d54291304bbb9bdd5395cd236e992025-01-14T07:17:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2019-10-014014915659730386Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster processMinglu JINNan GUOIn the existing heterogeneous cellular networks (HCN),the rapid increasing of small cells caused a problem that the hotspots where users were clustered generated a huge amount of energy consumption.To improve the energy efficiency of the networks,the spatial model was researched.The users in hotspots in the HCN were modeled as the Thomas cluster process,combined with the max mean bias received signal power (max-BRP) strategy to achieve base station load balancing,and the user’s association probability,coverage probability and the network’s energy efficiency were derived using tool from stochastic geometry.The simulation shows that the derived formulas are accurate,and the network’s energy efficiency can be greatly improved by setting appropriate bias factors.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019184/heterogeneous cellular networkThomas cluster processstochastic geometryenergy efficiency |
spellingShingle | Minglu JIN Nan GUO Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process Tongxin xuebao heterogeneous cellular network Thomas cluster process stochastic geometry energy efficiency |
title | Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process |
title_full | Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process |
title_fullStr | Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process |
title_full_unstemmed | Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process |
title_short | Energy efficiency analysis of heterogeneous cellular network based on Thomas cluster process |
title_sort | energy efficiency analysis of heterogeneous cellular network based on thomas cluster process |
topic | heterogeneous cellular network Thomas cluster process stochastic geometry energy efficiency |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2019184/ |
work_keys_str_mv | AT minglujin energyefficiencyanalysisofheterogeneouscellularnetworkbasedonthomasclusterprocess AT nanguo energyefficiencyanalysisofheterogeneouscellularnetworkbasedonthomasclusterprocess |