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Transmission design for the XL-RIS-aided massiveMIMO system with visibility regions
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Luchu LI, Cunhua PAN, Kangda ZH, Hong REN. Transmission design for the XL-RIS-aided massiveMIMO system with visibility regions[J]. Frontiers of Information Technology & Electronic Engineering, 1998, -1(-1): .
@article{title="Transmission design for the XL-RIS-aided massiveMIMO system with visibility regions",
author="Luchu LI, Cunhua PAN, Kangda ZH, Hong REN",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="-1",
number="-1",
pages="",
year="1998",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2400375"
}
%0 Journal Article
%T Transmission design for the XL-RIS-aided massiveMIMO system with visibility regions
%A Luchu LI
%A Cunhua PAN
%A Kangda ZH
%A Hong REN
%J Journal of Zhejiang University SCIENCE C
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%N -1
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%@ 2095-9184
%D 1998
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2400375
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A1 - Cunhua PAN
A1 - Kangda ZH
A1 - Hong REN
J0 - Journal of Zhejiang University Science C
VL - -1
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%@ 2095-9184
Y1 - 1998
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2400375
Abstract: This study proposed a two-timescale transmission scheme for extremely extra-large (XL)-reconfigurable intelligent surfaces (RIS)-aided massive multi-input multi-output (MIMO) systems in the presence of visibility regions (VRs). The beamforming of base stations (BS) is designed based on rapidly changing instantaneous channel state information (CSI), while the phase shifts of RIS are configured based on slowly varying statistical CSI. Specifically, we first formulated a system model with spatially correlated Rician fading channels and introduced the concept of VRs. Then, we derived a closed-form approximate expression for the achievable rate and analyzed the impact of VRs on system performance and computational complexity. Then, we solved the problem of maximizing the minimum user rate by optimizing the phase shifts of RIS through an algorithm based on accelerated gradient ascent. Finally, we presented numerical results to validate the performance of the considered system from different aspects and revealed the low system complexity of deploying XL-RIS in massive MIMO systems with the help of VRs.
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