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    Outage Probability Analysis of SWIPT Device-to-Device MIMO Relay Systems with Outdated CSI

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    Type
    Conference Paper
    Authors
    Shaik, Parvez
    Singya, Praveen Kumar
    Garg, Kamal K.
    Bhatia, Vimal
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2021-05-06
    Online Publication Date
    2021-05-06
    Print Publication Date
    2021-03-29
    Permanent link to this record
    http://hdl.handle.net/10754/669177
    
    Metadata
    Show full item record
    Abstract
    Simultaneous wireless information and power transfer (SWIPT) plays a vital role in power-constrained cooperative communication by harvesting energy at the relay node from the ambient radio frequency signals while transmitting information to the destination. In this work, we consider SWIPT based overlay device-to-device (D2D) multi-input and multi-output (MIMO) relay communications with outdated channel state information (CSI) overgeneralized Nakagami-m fading channels. Further, transmit antenna selection is employed in choosing the antenna which maximizes the received signal-to-noise ratio at the receiver to reduce the system complexity. Framework for outage probability and asymptotic outage probability for the SWIPT based D2D MIMO relay system with outdated CSI is developed. Impact of energy harvesting and outdated CSI over throughput is analyzed for the considered system model. Simulations are carried out to verify the correctness of the obtained analytical expressions.
    Citation
    Shaik, P., Singya, P. K., Garg, K. K., & Bhatia, V. (2021). Outage Probability Analysis of SWIPT Device-to-Device MIMO Relay Systems with Outdated CSI. 2021 IEEE Wireless Communications and Networking Conference (WCNC). doi:10.1109/wcnc49053.2021.9417460
    Publisher
    IEEE
    Conference/Event name
    2021 IEEE Wireless Communications and Networking Conference (WCNC)
    ISBN
    978-1-7281-9506-3
    DOI
    10.1109/WCNC49053.2021.9417460
    Additional Links
    https://ieeexplore.ieee.org/document/9417460/
    https://ieeexplore.ieee.org/document/9417460/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9417460
    ae974a485f413a2113503eed53cd6c53
    10.1109/WCNC49053.2021.9417460
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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