Affiliation(s):
School of Information Science and Engineering, Southeast University, Nanjing 210096, China;
moreAffiliation(s): School of Information Science and Engineering, Southeast University, Nanjing 210096, China; School of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin 10623, Germany;
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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,in press.https://doi.org/10.1631/FITEE.2400375
@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", year="in press", publisher="Zhejiang University Press & Springer", doi="https://doi.org/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 Frontiers of Information Technology & Electronic Engineering %P %@ 2095-9184 %D in press %I Zhejiang University Press & Springer doi="https://doi.org/10.1631/FITEE.2400375"
TY - JOUR T1 - Transmission design for the XL-RIS-aided massiveMIMO system with visibility regions A1 - Luchu LI A1 - Cunhua PAN A1 - Kangda ZH A1 - Hong REN J0 - Frontiers of Information Technology & Electronic Engineering SP - EP - %@ 2095-9184 Y1 - in press PB - Zhejiang University Press & Springer ER - doi="https://doi.org/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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