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Spatially Correlated Reconfigurable Intelligent Surfaces-Aided Cell-Free Massive MIMO Systems.

Authors :
Shi, Enyu
Zhang, Jiayi
He, Ruisi
Jiao, Huiying
Wang, Zhiqin
Ai, Bo
Ng, Derrick Wing Kwan
Source :
IEEE Transactions on Vehicular Technology. Aug2022, Vol. 71 Issue 8, p9073-9077. 5p.
Publication Year :
2022

Abstract

Reconfigurable intelligent surfaces (RISs) and cell-free (CF) massive multiple-input multiple-output (MIMO) are two promising technologies for realizing beyond-fifth generation (5G) networks. In this paper, we study the uplink spectral efficiency (SE) of a practical spatially correlated RISs-aided CF massive MIMO system over Rician fading channels. Specifically, we derive the closed-form expression for characterizing the uplink SE of the system, which shows that increasing the number of RIS elements can improve the system performance. Moreover, the results unveil that the spatial correlation of RIS has a significant impact on the system while leading to the best performance gain at a half wavelength spacing. Finally, the accuracy of our analytical results are verified by Monte-Carlo simulations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189545
Volume :
71
Issue :
8
Database :
Academic Search Index
Journal :
IEEE Transactions on Vehicular Technology
Publication Type :
Academic Journal
Accession number :
158604208
Full Text :
https://doi.org/10.1109/TVT.2022.3175459