The traffic load of cellular networks varies in both time and spatial domains, causing many base stations (BS) to be under-utilized. Assisted by cell zooming, dynamic BS sleep control is considered as an effective way to improve energy efficiency during low traffic hours. Therefore, how densely the BSs should be deployed with cell zooming and BS sleeping is an important issue. In this paper, we explore the energy-optimal cellular network planning problem with dynamic BS sleeping and cell zooming for the cases in which traffic is uniformly distributed in space but time-varying. To guarantee the quality of multi-class services, an approximation method based on Erlang formula is proposed. Extensive simulations under our predefined scenarios show that about half of energy consumption can be saved through dynamic BS sleeping and power control. Surprisingly, the energy-optimal BS density we obtained is larger than the one without considering BS sleeping. In other words, deploying more BSs may help to save energy if dynamic BS sleeping is executed.
Shan ZHANG
Tsinghua University
Yiqun WU
Huawei Technologies R&D
Sheng ZHOU
Tsinghua University
Zhisheng NIU
Tsinghua University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Shan ZHANG, Yiqun WU, Sheng ZHOU, Zhisheng NIU, "Traffic-Aware Network Planning and Green Operation with BS Sleeping and Cell Zooming" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 11, pp. 2337-2346, November 2014, doi: 10.1587/transcom.E97.B.2337.
Abstract: The traffic load of cellular networks varies in both time and spatial domains, causing many base stations (BS) to be under-utilized. Assisted by cell zooming, dynamic BS sleep control is considered as an effective way to improve energy efficiency during low traffic hours. Therefore, how densely the BSs should be deployed with cell zooming and BS sleeping is an important issue. In this paper, we explore the energy-optimal cellular network planning problem with dynamic BS sleeping and cell zooming for the cases in which traffic is uniformly distributed in space but time-varying. To guarantee the quality of multi-class services, an approximation method based on Erlang formula is proposed. Extensive simulations under our predefined scenarios show that about half of energy consumption can be saved through dynamic BS sleeping and power control. Surprisingly, the energy-optimal BS density we obtained is larger than the one without considering BS sleeping. In other words, deploying more BSs may help to save energy if dynamic BS sleeping is executed.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2337/_p
Copy
@ARTICLE{e97-b_11_2337,
author={Shan ZHANG, Yiqun WU, Sheng ZHOU, Zhisheng NIU, },
journal={IEICE TRANSACTIONS on Communications},
title={Traffic-Aware Network Planning and Green Operation with BS Sleeping and Cell Zooming},
year={2014},
volume={E97-B},
number={11},
pages={2337-2346},
abstract={The traffic load of cellular networks varies in both time and spatial domains, causing many base stations (BS) to be under-utilized. Assisted by cell zooming, dynamic BS sleep control is considered as an effective way to improve energy efficiency during low traffic hours. Therefore, how densely the BSs should be deployed with cell zooming and BS sleeping is an important issue. In this paper, we explore the energy-optimal cellular network planning problem with dynamic BS sleeping and cell zooming for the cases in which traffic is uniformly distributed in space but time-varying. To guarantee the quality of multi-class services, an approximation method based on Erlang formula is proposed. Extensive simulations under our predefined scenarios show that about half of energy consumption can be saved through dynamic BS sleeping and power control. Surprisingly, the energy-optimal BS density we obtained is larger than the one without considering BS sleeping. In other words, deploying more BSs may help to save energy if dynamic BS sleeping is executed.},
keywords={},
doi={10.1587/transcom.E97.B.2337},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - Traffic-Aware Network Planning and Green Operation with BS Sleeping and Cell Zooming
T2 - IEICE TRANSACTIONS on Communications
SP - 2337
EP - 2346
AU - Shan ZHANG
AU - Yiqun WU
AU - Sheng ZHOU
AU - Zhisheng NIU
PY - 2014
DO - 10.1587/transcom.E97.B.2337
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2014
AB - The traffic load of cellular networks varies in both time and spatial domains, causing many base stations (BS) to be under-utilized. Assisted by cell zooming, dynamic BS sleep control is considered as an effective way to improve energy efficiency during low traffic hours. Therefore, how densely the BSs should be deployed with cell zooming and BS sleeping is an important issue. In this paper, we explore the energy-optimal cellular network planning problem with dynamic BS sleeping and cell zooming for the cases in which traffic is uniformly distributed in space but time-varying. To guarantee the quality of multi-class services, an approximation method based on Erlang formula is proposed. Extensive simulations under our predefined scenarios show that about half of energy consumption can be saved through dynamic BS sleeping and power control. Surprisingly, the energy-optimal BS density we obtained is larger than the one without considering BS sleeping. In other words, deploying more BSs may help to save energy if dynamic BS sleeping is executed.
ER -