On the spectral efficiency of hybrid relay/RIS-assisted massive MIMO systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

50 Downloads (Pure)


Reconfigurable intelligent surfaces (RISs) play an important role in extending the connectivity and improving the data rate of future wireless communication systems. However, the conventional (passive) RISs have their limitations and, thus, a hybrid-relay RIS (HR-RIS) architecture is proposed to reap the benefits of relaying systems with high power consumption but higher throughput, and passive RIS systems with cascaded fading effects but low complexity. In this paper, we investigate the performance of HR-RISs in a massive multiple-input multiple-output (M-MIMO) system with zero-forcing (ZF) processing, where channel state information (CSI) is unavailable. We first model the uplink/downlink channels and derive the linear minimum mean square error (LMMSE) estimate of the effective channels. We, then, derive a closed-form expression for the signal to interference and noise ratio (SINR) and spectral efficiency (SE). Finally, we provide some useful engineering insights with our asymptotic analysis and numerical results.

Original languageEnglish
Title of host publicationProceedings of the IEEE Wireless Communications and Networking Conference, WCNC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491228
ISBN (Print)9781665491235
Publication statusPublished - 12 May 2023
EventIEEE Wireless Communications and Networking Conference 2023 - Glasgow, United Kingdom
Duration: 26 Mar 202329 Mar 2023

Publication series

NameIEEE Conference on Wireless Communications and Networking: Proceedings
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612


ConferenceIEEE Wireless Communications and Networking Conference 2023
Abbreviated titleWCNC 2023
Country/TerritoryUnited Kingdom


Dive into the research topics of 'On the spectral efficiency of hybrid relay/RIS-assisted massive MIMO systems'. Together they form a unique fingerprint.

Cite this