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    Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel

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    Type
    Article
    Authors
    Nadeem, Qurrat-Ul-Ain cc
    Zappone, Alessio
    Chaaban, Anas
    KAUST Grant Number
    OSR-2018-CRG7-3734.
    Date
    2021
    Permanent link to this record
    http://hdl.handle.net/10754/668206
    
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    Abstract
    The current literature on intelligent reflecting surface (IRS) focuses on optimizing the IRS phase shifts to yield coherent beamforming gains, under the assumption of perfect channel state information (CSI) of individual IRS-assisted links, which is highly impractical. This work, instead, considers the random rotations scheme at the IRS in which the reflecting elements only employ random phase rotations without requiring any CSI. The only CSI then needed is at the base station (BS) of the overall channel to implement the beamforming transmission scheme. Under this framework, we derive the sum-rate scaling laws in the large number of users regime for the IRS-assisted multiple-input single-output (MISO) broadcast channel, with optimal dirty paper coding (DPC) scheme and the lower-complexity random beamforming (RBF) and deterministic beamforming (DBF) schemes at the BS. The random rotations scheme increases the sum-rate by exploiting multi-user diversity, but also compromises the gain to some extent due to correlation. Finally, energy efficiency maximization problems in terms of the number of BS antennas, IRS elements and transmit power are solved using the derived scaling laws. Simulation results show the proposed scheme to improve the sum-rate, with performance becoming close to that under coherent beamforming for a large number of users.
    Citation
    Nadeem, Q.-U.-A., Zappone, A., & Chaaban, A. (2021). Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel. IEEE Transactions on Wireless Communications, 1–1. doi:10.1109/twc.2021.3066333
    Sponsors
    This work was supported by the King Abdullah University of Science and Technology (KAUST) under Award OSR-2018-CRG7-3734.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/twc.2021.3066333
    arXiv
    2103.09898
    Additional Links
    https://ieeexplore.ieee.org/document/9384319/
    ae974a485f413a2113503eed53cd6c53
    10.1109/twc.2021.3066333
    Scopus Count
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    Publications Acknowledging KAUST Support

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