TY - GEN
T1 - Performance of green LTE networks powered by the smart grid with time varying user density
AU - Ghazzai, Hakim
AU - Yaacoub, Elias E.
AU - Alouini, Mohamed-Slim
AU - Abu-Dayya, Adnan A.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/9
Y1 - 2013/9
N2 - In this study, we implement a green heuristic algorithm involving the base station sleeping strategy that aims to ensure energy saving for the radio access network of the 4GLTE (Fourth Generation Long Term Evolution) mobile networks. We propose an energy procurement model that takes into consideration the existence of multiple energy providers in the smart grid power system (e.g. fossil fuel and renewable energy sources, etc.) in addition to deployed photovoltaic panels in base station sites. Moreover, the analysis is based on the dynamic time variation of daily traffic and aims to maintain the network quality of service. Our simulation results show an important contribution in the reduction of CO2 emissions that can be reached by optimal power allocation over the active base stations. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.
AB - In this study, we implement a green heuristic algorithm involving the base station sleeping strategy that aims to ensure energy saving for the radio access network of the 4GLTE (Fourth Generation Long Term Evolution) mobile networks. We propose an energy procurement model that takes into consideration the existence of multiple energy providers in the smart grid power system (e.g. fossil fuel and renewable energy sources, etc.) in addition to deployed photovoltaic panels in base station sites. Moreover, the analysis is based on the dynamic time variation of daily traffic and aims to maintain the network quality of service. Our simulation results show an important contribution in the reduction of CO2 emissions that can be reached by optimal power allocation over the active base stations. Copyright © 2013 by the Institute of Electrical and Electronic Engineers, Inc.
UR - http://hdl.handle.net/10754/564792
UR - http://ieeexplore.ieee.org/document/6692358/
UR - http://www.scopus.com/inward/record.url?scp=84893227066&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2013.6692358
DO - 10.1109/VTCFall.2013.6692358
M3 - Conference contribution
SN - 9781467361873
BT - 2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
