Optimal Base Station Density of Power Efficient Small Cell Networks
碩士 === 國立交通大學 === 電信工程研究所 === 102 === How to optimally deploy base stations (BSs) in a given area is a long-standing and important problem in each generation of cellular networks. Classical approaches for performance evaluation of cellular networks involves extensive system simulations. In this thes...
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ndltd-TW-102NCTU54350702015-10-14T00:18:21Z http://ndltd.ncl.edu.tw/handle/17186659983710339063 Optimal Base Station Density of Power Efficient Small Cell Networks 高功率效率小細胞網路的最佳基地台密度之研究 Peng, Ching-Ting 彭敬庭 碩士 國立交通大學 電信工程研究所 102 How to optimally deploy base stations (BSs) in a given area is a long-standing and important problem in each generation of cellular networks. Classical approaches for performance evaluation of cellular networks involves extensive system simulations. In this thesis, using stochastic geometry theory, the optimal BS density of a small cell network with one tier is investigated from a power efficient point of view. The average user rate and the power efficiency for the all-on and on-off power management schemes are derived and the existence of the optimal BS density maximizing the power efficiency for a given user density is verified. Both analytical and simulated results indicate that the on-off power management scheme is significantly superior to the all-on power scheme in terms of power efficiency. In addition, numerical results show that the average user rate and the power efficiency depend on fading conditions, while the optimal BS density is not sensitive to the severity of fading. The optimal BS densities for the two power management scheme provide a good insight on the guideline of how many BSs per unit area should be actively operated or deployed for achieving high power efficiency. Wang, Li-Chun 王蒞君 2014 學位論文 ; thesis 54 en_US |
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碩士 === 國立交通大學 === 電信工程研究所 === 102 === How to optimally deploy base stations (BSs) in a given area is a long-standing and important problem in each generation of cellular networks. Classical approaches for performance evaluation of cellular networks involves extensive system simulations. In this thesis, using stochastic geometry theory, the optimal BS density of a small cell network with one tier is investigated from a power efficient point of view. The average user rate and the power efficiency for the all-on and on-off power management schemes are derived and the existence of the optimal BS density maximizing the power efficiency for a given user density is verified. Both analytical and simulated results indicate that the on-off power management scheme is significantly superior to the all-on power scheme in terms of power efficiency. In addition, numerical results show that the average user rate and the power efficiency depend on fading conditions, while the optimal BS density is not sensitive to the severity of fading. The optimal BS densities for the two power management scheme provide a good insight on the guideline of how many BSs per unit area should be actively operated or deployed for achieving high power efficiency.
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author2 |
Wang, Li-Chun |
author_facet |
Wang, Li-Chun Peng, Ching-Ting 彭敬庭 |
author |
Peng, Ching-Ting 彭敬庭 |
spellingShingle |
Peng, Ching-Ting 彭敬庭 Optimal Base Station Density of Power Efficient Small Cell Networks |
author_sort |
Peng, Ching-Ting |
title |
Optimal Base Station Density of Power Efficient Small Cell Networks |
title_short |
Optimal Base Station Density of Power Efficient Small Cell Networks |
title_full |
Optimal Base Station Density of Power Efficient Small Cell Networks |
title_fullStr |
Optimal Base Station Density of Power Efficient Small Cell Networks |
title_full_unstemmed |
Optimal Base Station Density of Power Efficient Small Cell Networks |
title_sort |
optimal base station density of power efficient small cell networks |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/17186659983710339063 |
work_keys_str_mv |
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