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    Transmit power optimization for green multihop relaying over Nakagami-m fading channels

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    Type
    Conference Paper
    Authors
    Randrianantenaina, Itsikiantsoa cc
    Benjillali, Mustapha
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Communication Theory Lab
    Date
    2014-03
    Permanent link to this record
    http://hdl.handle.net/10754/564887
    
    Metadata
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    Abstract
    In this paper, we investigate the optimal transmit power strategy to maximize the energy efficiency of a multihop relaying network. Considering the communication between a source and a destination through multiple Amplify-and-Forward relays, we first give the expression of the total instantaneous system energy consumption. Then, we define the energy efficiency in our context and obtain its expression in closed-form when the communication is over Nakagami-m fading channels. The analysis yields to the derivation of a global transmit power strategy where each individual node is contributing to the end-to-end overall energy efficiency. Numercial results are presented to illustrate the analysis. Comparison with Monte Carlo simulation results confirms the accuracy of our derivations, and assesses the gains of the proposed power optimization strategy. © 2014 IEEE.
    Publisher
    Institute of Electrical & Electronics Engineers (IEEE)
    Journal
    Fourth International Conference on Communications and Networking, ComNet-2014
    Conference/Event name
    4th International Conference on Communications and Networking, ComNet 2014
    ISBN
    9781479937615
    DOI
    10.1109/ComNet.2014.6840932
    arXiv
    arXiv:1411.5132
    Additional Links
    http://arxiv.org/abs/arXiv:1411.5132v1
    ae974a485f413a2113503eed53cd6c53
    10.1109/ComNet.2014.6840932
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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