Energy-efficient base station deployment in heterogeneous cellular network with QoS constraint
We investigate the energy efficiency in the downlink of a two-tier heterogeneous cellular network with quality of service consideration. By modeling the distributions of the macrocell and small cell base stations follow two independent homogeneous Poisson point processes, we derive the analytical ex...
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Published in | 2013 IEEE 24th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC Workshops) pp. 62 - 30 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.09.2013
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/PIMRCW.2013.6707830 |
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Abstract | We investigate the energy efficiency in the downlink of a two-tier heterogeneous cellular network with quality of service consideration. By modeling the distributions of the macrocell and small cell base stations follow two independent homogeneous Poisson point processes, we derive the analytical expressions of the mean achievable rate and the energy efficiency with the assumption that a mobile user connects to the closest BS. In addition, we evaluate the energy efficiency subject to a constraint of the blocking probability. Considering the dynamic variation of the traffic load, we use the numerical results to show that the optimum value of energy efficiency can be reached at determined deployment densities of the macrocells and the small cells, and the blocking probability has a dramatic impact on the optimal base station deployment. |
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AbstractList | We investigate the energy efficiency in the downlink of a two-tier heterogeneous cellular network with quality of service consideration. By modeling the distributions of the macrocell and small cell base stations follow two independent homogeneous Poisson point processes, we derive the analytical expressions of the mean achievable rate and the energy efficiency with the assumption that a mobile user connects to the closest BS. In addition, we evaluate the energy efficiency subject to a constraint of the blocking probability. Considering the dynamic variation of the traffic load, we use the numerical results to show that the optimum value of energy efficiency can be reached at determined deployment densities of the macrocells and the small cells, and the blocking probability has a dramatic impact on the optimal base station deployment. |
Author | Yang Liu Jian Yu Changchuan Yin |
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Snippet | We investigate the energy efficiency in the downlink of a two-tier heterogeneous cellular network with quality of service consideration. By modeling the... |
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SubjectTerms | Conferences Femtocells Interference Macrocell networks Power demand Quality of service |
Title | Energy-efficient base station deployment in heterogeneous cellular network with QoS constraint |
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