TY - JOUR
T1 - Building Elastic Hybrid Green Wireless Networks
AU - Gao, Chenfei
AU - Zhang, Weiyi
AU - Tang, Jian
N1 - Funding Information:
This work was supported by the NSF under Grant 1443966.
Funding Information:
Manuscript received June 21, 2016; revised November 7, 2016; accepted November 30, 2016. Date of publication December 21, 2016; date of current version December 11, 2017. This work was supported by the NSF under Grant 1443966. (Corresponding author: Weiyi Zhang.) C. Gao and J. Tang are with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY 13244 USA.
Publisher Copyright:
© 2016 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - Saving power on base stations (BSs) becomes a critical issue in wireless cellular networks. Many existing work has proposed to schedule BS into sleep to save energy. However, in reality, it is very difficult to shut down and reboot BSs frequently due to numerous technical issues and performance requirements. In this paper, we propose a much more practical solution and offer a new perspective on implementing green wireless networking by embracing the hot-trended small cell network idea. Instead of putting BSs into sleep, we tactically reduce the coverage (and the power usage) of each BS, and strategically place microcells (relay stations) to offload the traffic transmitted to/from BSs in order to save total power consumption. We propose approximation algorithms for various network design scenarios, with different wireless network setups and different power saving optimization objectives. Extensive numerical results are presented to confirm our theoretical analysis.
AB - Saving power on base stations (BSs) becomes a critical issue in wireless cellular networks. Many existing work has proposed to schedule BS into sleep to save energy. However, in reality, it is very difficult to shut down and reboot BSs frequently due to numerous technical issues and performance requirements. In this paper, we propose a much more practical solution and offer a new perspective on implementing green wireless networking by embracing the hot-trended small cell network idea. Instead of putting BSs into sleep, we tactically reduce the coverage (and the power usage) of each BS, and strategically place microcells (relay stations) to offload the traffic transmitted to/from BSs in order to save total power consumption. We propose approximation algorithms for various network design scenarios, with different wireless network setups and different power saving optimization objectives. Extensive numerical results are presented to confirm our theoretical analysis.
KW - Approximation algorithms
KW - Internet of Things (IoT)
KW - cellular network
KW - energy consumption
KW - micro cell placement
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U2 - 10.1109/JIOT.2016.2642823
DO - 10.1109/JIOT.2016.2642823
M3 - Article
AN - SCOPUS:85039163954
SN - 2327-4662
VL - 4
SP - 2028
EP - 2037
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 6
M1 - 7792561
ER -