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    A New Relation Between Energy Efficiency and Spectral Efficiency in Wireless Communications Systems

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    Type
    Article
    Authors
    Sboui, Lokman
    Rezki, Zouheir
    Salem, Ahmed Sultan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2019-04-25
    Online Publication Date
    2019-04-25
    Print Publication Date
    2019-06
    Permanent link to this record
    http://hdl.handle.net/10754/656302
    
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    Abstract
    When designing wireless communication systems (WCS), the spectral efficiency (SE) has been the main design performance metric. Recently, the energy efficiency (EE) is attracting a huge interest due to the massive deployment of power limited WCS such as IoT devices, and stringent environmental concerns. For this reason, many works in the literature focused on optimizing the EE and highlighted the EE-SE relationship as a trade-off (meaning that increasing one decreases the other). In this article, after introducing the EE metric, we highlight a new perspective of the EE-SE relationship based on energy-efficient power control. In particular, we give insights about the EE-based performance of various transmission technologies and its impact on 5G future design. Via numerical results, we show that the corresponding power scheme allows an increase of both the SE and EE with no trade-off. Finally, we present relevant open research problems.
    Citation
    Sboui, L., Rezki, Z., Sultan, A., & Alouini, M.-S. (2019). A New Relation Between Energy Efficiency and Spectral Efficiency in Wireless Communications Systems. IEEE Wireless Communications, 26(3), 168–174. doi:10.1109/mwc.2019.1800161
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications
    DOI
    10.1109/MWC.2019.1800161
    arXiv
    arXiv:1902.01943
    Additional Links
    https://ieeexplore.ieee.org/document/8694789/
    http://arxiv.org/pdf/1902.01943
    ae974a485f413a2113503eed53cd6c53
    10.1109/MWC.2019.1800161
    Scopus Count
    Collections
    Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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