Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load

LI Yun; WANG Junwei; ZHAO Weiliang; LIU Qilie

doi:10.11999/JEIT160192

Volume 39 Issue 4

Apr. 2017

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LI Yun, WANG Junwei, ZHAO Weiliang, LIU Qilie. Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load[J]. Journal of Electronics & Information Technology, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192

Citation:

LI Yun, WANG Junwei, ZHAO Weiliang, LIU Qilie. Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load[J]. Journal of Electronics & Information Technology, 2017, 39(4): 854-859. doi: 10.11999/JEIT160192

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Optimizing the Energy Efficiency of Heterogeneous Cellular Networks Based on the Base Station Density and Traffic Load

doi: 10.11999/JEIT160192

Funds:

The National Natural Science Foundation of China (61671096), The National Basic Research Program of China (2012CB316004), The Open Research Fundation of National Mobile Communications Research Laboratory, Southeast University (2015D07)

Received Date: 2016-03-01
Rev Recd Date: 2017-01-20
Publish Date: 2017-04-19

Abstract

Abstract

Poisson Point Process (PPP) is used to establish the distribution model of base stations in two-tier heterogeneous networks, and formulate the energy efficiency maximization problem based on the base station density and the traffic load. The influence of the base station density on the energy efficiency is analyzed to optimize the densities of the macro base stations and small base stations according to the traffic load. The optimal densities of the macro base stations and small base stations are deduced, which can optimize the energy efficiency under the constraint of the quality of service. Simulation results indicate that, under the constraint of the quality of service, reasonable deployment of macro and small stations can greatly improve the energy efficiency.
- Heterogeneous network,
- Energy efficiency of network,
- Base station density,
- Optimal joint density

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References(21)

References

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