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    Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

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    Author
    Ahmed, Shakil
    Chowdhury, Mostafa Zaman
    Jang, Yeong Min
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Issue Date
    2020-04
    Keywords
    UAV relay
    energy-efficiency
    information causality constraint
    sub-optimal
    
    Metadata
    Show full item record
    Publisher
    IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
    Citation
    S. Ahmed, M. Z. Chowdhury and Y. M. Jang, "Energy-Efficient UAV Relaying Communications to Serve Ground Nodes," in IEEE Communications Letters, vol. 24, no. 4, pp. 849-852, April 2020, doi: 10.1109/LCOMM.2020.2965120.
    Journal
    IEEE COMMUNICATIONS LETTERS
    Rights
    © 2020 IEEE.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    This letter studies the energy-efficient unmanned aerial vehicle (UAV) communications to support ground nodes (GNs). The system considers the UAV working as a relay while there is a base station (BS) on the ground. We analyze the UAV energy consumption model to design the energy-efficient UAV trajectory path. We formulate the energy-efficient UAV relaying communication, which considers both throughput and UAV propulsion energy consumption. We optimize joint transmit power of UAV and BS; UAV trajectory, acceleration, and flying speed to maximize the energy-efficient UAV relaying problem. We also introduce a constraint named as information causality constraint (ICC). The main idea of ICC is to guarantee that the UAV receives information from BS in any time slot and forward the only received information to GNs in remaining time slots. The formulated energy-efficiency maximization problem is not convex. Thus, we solve it sub-optimally using the iterative method. Finally, we present the simulation results to validate the efficacy of the proposed algorithm.
    ISSN
    1089-7798
    EISSN
    2373-7891
    DOI
    10.1109/lcomm.2020.2965120
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1109/lcomm.2020.2965120
    Scopus Count
    Collections
    UA Faculty Publications

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