Performance of green LTE networks powered by the smart grid with time varying user density

Hakim Ghazzai, Elias E. Yaacoub, Mohamed-Slim Alouini, Adnan A. Abu-Dayya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


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.
Original languageEnglish (US)
Title of host publication2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467361873
StatePublished - Sep 2013

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


Dive into the research topics of 'Performance of green LTE networks powered by the smart grid with time varying user density'. Together they form a unique fingerprint.

Cite this