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    Energy Efficiency - Spectral Efficiency Trade-off: A Multiobjective Optimization Approach

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    Type
    Article
    Authors
    Amin, Osama cc
    Bedeer, Ebrahim
    Saad, Ahmed Mohamed cc
    Dobre, Octavia
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2015-04-23
    Online Publication Date
    2015-04-23
    Print Publication Date
    2016-04
    Permanent link to this record
    http://hdl.handle.net/10754/552559
    
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    Abstract
    In this paper, we consider the resource allocation problem for energy efficiency (EE) - spectral efficiency (SE) trade-off. Unlike traditional research that uses the EE as an objective function and imposes constraints either on the SE or achievable rate, we propound a multiobjective optimization approach that can flexibly switch between the EE and SE functions or change the priority level of each function using a trade-off parameter. Our dynamic approach is more tractable than the conventional approaches and more convenient to realistic communication applications and scenarios. We prove that the multiobjective optimization of the EE and SE is equivalent to a simple problem that maximizes the achievable rate/SE and minimizes the total power consumption. Then we apply the generalized framework of the resource allocation for the EE-SE trade-off to optimally allocate the subcarriers’ power for orthogonal frequency division multiplexing (OFDM) with imperfect channel estimation. Finally, we use numerical results to discuss the choice of the trade-off parameter and study the effect of the estimation error, transmission power budget and channel-to-noise ratio on the multiobjective optimization.
    Citation
    Energy Efficiency - Spectral Efficiency Trade-off: A Multiobjective Optimization Approach 2015:1 IEEE Transactions on Vehicular Technology
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2015.2425934
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7093179
    ae974a485f413a2113503eed53cd6c53
    10.1109/TVT.2015.2425934
    Scopus Count
    Collections
    Articles; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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