Cell-Free MIMO Systems Powered by Intelligent Reflecting Surfaces

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Cell-free massive multiple-input multiple-output (MIMO) and intelligent reflecting surface (IRS) are considered as the prospective multiple antenna technologies for beyond the fifth-generation (5G) networks. Cell-free MIMO systems powered by IRSs, combining both technologies, can further improve the performance of cell-free MIMO systems at low cost and energy consumption. Prior works focused on instantaneous performance metrics and relied on alternating optimization algorithms, which impose huge computational complexity and signaling overhead. To address these challenges, we propose a novel two-step algorithm that provides the long-term passive beamformers at the IRSs using statistical channel state information (S-CSI) and short-term active precoders and long-term power allocation at the access points (APs) to maximize the minimum achievable rate. Simulation results verify that the proposed scheme outperforms benchmark schemes and brings a significant performance gain to the cell-free MIMO systems powered by IRSs.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2022-05
Language
English
Article Type
Article
Citation

IEEE COMMUNICATIONS LETTERS, v.26, no.5, pp.1076 - 1080

ISSN
1089-7798
DOI
10.1109/LCOMM.2022.3152616
URI
http://hdl.handle.net/10203/296653
Appears in Collection
EE-Journal Papers(저널논문)
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