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    Performance Limits of Communication with Energy Harvesting

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    Final Thesis_Mohamed Znaidi.pdf
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    Description:
    Final Thesis
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    Type
    Thesis
    Authors
    Znaidi, Mohamed Ridha cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee members
    Shihada, Basem cc
    Rezki, Zouheir cc
    Laleg-Kirati, Taous-Meriem cc
    Program
    Electrical and Computer Engineering
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2016-04
    Embargo End Date
    2017-05-12
    Permanent link to this record
    http://hdl.handle.net/10754/609051
    
    Metadata
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    Access Restrictions
    At the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis became available to the public after the expiration of the embargo on 2017-05-12.
    Abstract
    In energy harvesting communications, the transmitters have to adapt transmission to the availability of energy harvested during communication. The performance of the transmission depends on the channel conditions which vary randomly due to mobility and environmental changes. During this work, we consider the problem of power allocation taking into account the energy arrivals over time and the quality of channel state information (CSI) available at the transmitter, in order to maximize the throughput. Differently from previous work, the CSI at the transmitter is not perfect and may include estimation errors. We solve this problem with respect to the energy harvesting constraints. Assuming a perfect knowledge of the CSI at the receiver, we determine the optimal power policy for different models of the energy arrival process (offline and online model). Indeed, we obtain the power allocation scheme when the transmitter has either perfect CSI or no CSI. We also investigate of utmost interest the case of fading channels with imperfect CSI. Moreover, a study of the asymptotic behavior of the communication system is proposed. Specifically, we analyze of the average throughput in a system where the average recharge rate goes asymptotically to zero and when it is very high.
    Citation
    Znaidi, M. R. (2016). Performance Limits of Communication with Energy Harvesting. KAUST Research Repository. https://doi.org/10.25781/KAUST-99W14
    DOI
    10.25781/KAUST-99W14
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-99W14
    Scopus Count
    Collections
    MS Theses; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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