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Reconfigurable Intelligent Surface-Assisted Massive MIMO: Favorable propagation, channel hardening, and rank deficiency [Lecture Notes]
Univ Luxembourg, L-1855 Luxembourg, Luxembourg..
Queens Univ Belfast, Belfast BT7 1NN, Antrim, North Ireland..
Univ Luxembourg, SIGCOM Res Grp, Interdisciplinary Ctr Secur Reliabil & Trust, Esch Sur Alzette, Luxembourg..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0003-2298-6774
2022 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 39, no 3, p. 97-104Article in journal (Refereed) Published
Abstract [en]

Massive multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS) are two promising technologies for 5G-and-beyond wireless networks, capable of providing large array gain and multiuser spatial multiplexing. Without requiring additional frequency bands, those technologies offer significant improvements in both spectral and energy efficiency by simultaneously serving many users. The performance analysis of an RIS-assisted massive MIMO system as a function of channel statistics relies heavily on fundamental properties, including favorable propagation, channel hardening, and rank deficiency. The coexistence of both direct and indirect links results in aggregated channels, whose properties are the main concerns of this "Lecture Notes" article. For practical systems with a finite number of antennas and engineered scattering elements of the RIS, we evaluate the corresponding deterministic metrics, with Rayleigh fading channels as a typical example.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 39, no 3, p. 97-104
Keywords [en]
Measurement, Wireless networks, Scattering, Massive MIMO, Reconfigurable intelligent surfaces, MIMO, Performance analysis
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-314245DOI: 10.1109/MSP.2021.3128352ISI: 000803108800012Scopus ID: 2-s2.0-85122354657OAI: oai:DiVA.org:kth-314245DiVA, id: diva2:1671409
Note

QC 20220617

Available from: 2022-06-17 Created: 2022-06-17 Last updated: 2022-06-25Bibliographically approved

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Ottersten, Björn

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