TY - GEN
T1 - Relax, but Do Not Sleep
T2 - 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
AU - Gao, Chenfei
AU - Zhang, Weiyi
AU - Tang, Jian
AU - Wang, Chonggang
AU - Zou, Shihong
AU - Su, Sen
PY - 2014
Y1 - 2014
N2 - Saving power on base stations (BS) 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 work, 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 (BS) 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 work, 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.
UR - http://www.scopus.com/inward/record.url?scp=84904438205&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904438205&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2014.6848019
DO - 10.1109/INFOCOM.2014.6848019
M3 - Conference contribution
AN - SCOPUS:84904438205
SN - 9781479933600
T3 - Proceedings - IEEE INFOCOM
SP - 907
EP - 915
BT - IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 April 2014 through 2 May 2014
ER -