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    DC-Bias Allocation in Cooperative VLC Networks via Joint Information and Energy Transfer

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    Name:
    EH_MISO_VLC_v6.pdf
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    300.2Kb
    Format:
    PDF
    Description:
    Accepted Manuscript
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    Type
    Conference Paper
    Authors
    Obeed, Mohanad
    Dahrouj, Hayssam
    Salhab, Anas M.
    Zummo, Salam A.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2019-02-21
    Online Publication Date
    2019-02-21
    Print Publication Date
    2018-12
    Permanent link to this record
    http://hdl.handle.net/10754/631838
    
    Metadata
    Show full item record
    Abstract
    In order to meet the new escalating demand for high data rate services and applications, visible light communication (VLC) has emerged as a promising solution for the fifth-generation (5G) wireless networks and beyond. Consider a VLC network, where multiple access points (APs) serve both energy-harvesting users (EHUs), i.e., users which harvest energy from light intensity, and information-users (IUs), i.e., users which gather data information. The performance of the system becomes a function of the direct current (DC) bias values allocated to each AP. After adopting a zero-forcing (ZF) precoding approach to cancel the inter-cell interference, the paper formulates the problem of maximizing the network harvested energy subject to individual harvested energy and data rate constraints at the EHUs and IUs, respectively, so as to determine the DC bias of every AP. The paper then proposes solving such a difficult non-convex optimization problem using an iterative approach. The proposed algorithm uses well-chosen approximations of the objective and constraints functions, and compensates for the approximations using proper outer-loop updates. The paper further proposes a sub optimal heuristic which provides a feasible, yet simple, solution to the problem. Numerical results illustrate the convergence of our proposed algorithms, and highlight the significant performance improvement of the proposed algorithm as compared to the proposed baseline approach.
    Citation
    Obeed M, Dahrouj H, Salhab AM, Zummo SA, Alouini M-S (2018) DC-Bias Allocation in Cooperative VLC Networks via Joint Information and Energy Transfer. 2018 IEEE Global Communications Conference (GLOBECOM). Available: http://dx.doi.org/10.1109/GLOCOM.2018.8647944.
    Sponsors
    This work was funded by the National Plan for Science, Technology and Innovation (Maarifah)-King Abdulaziz City for Science and Technology through the Science and Technology Unit at King Fahd University of Petroleum & Minerals (KFUPM)-the Kingdom of Saudi Arabia, under grant number 15-ELE4157-04. The work was also supported by the Deanship of Scientific Research in KFUPM through grant number IN161023. Hayssam Dahrouj would like to thank Effat University in Jeddah, Saudi Arabia, for funding the research reported in this paper through the Research and Consultancy Institute.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2018 IEEE Global Communications Conference (GLOBECOM)
    Conference/Event name
    2018 IEEE Global Communications Conference, GLOBECOM 2018
    DOI
    10.1109/GLOCOM.2018.8647944
    Additional Links
    https://ieeexplore.ieee.org/document/8647944
    ae974a485f413a2113503eed53cd6c53
    10.1109/GLOCOM.2018.8647944
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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