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

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    Type
    Conference Paper
    Authors
    Ghazzai, Hakim cc
    Yaacoub, Elias E.
    Alouini, Mohamed-Slim cc
    Abu-Dayya, Adnan A.
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2013-09
    Permanent link to this record
    http://hdl.handle.net/10754/564792
    
    Metadata
    Show full item record
    Abstract
    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.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 IEEE 78th Vehicular Technology Conference (VTC Fall)
    Conference/Event name
    2013 IEEE 78th Vehicular Technology Conference, VTC Fall 2013
    ISBN
    9781467361873
    DOI
    10.1109/VTCFall.2013.6692358
    ae974a485f413a2113503eed53cd6c53
    10.1109/VTCFall.2013.6692358
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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