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User-Centric Cell-Free Massive MIMO with RIS-Integrated Antenna Arrays
TOBB University of Economics and Technology, Department of Electrical-Electronics Engineering, Ankara, Türkiye.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-5954-434X
2024 (English)In: 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, Institute of Electrical and Electronics Engineers (IEEE) , 2024, p. 546-550Conference paper, Published paper (Refereed)
Abstract [en]

Cell-free massive MIMO (multiple-input multiple-output) is a promising network architecture for beyond 5G systems, which can particularly offer more uniform data rates across the coverage area. Recent works have shown how reconfigurable intelligent surfaces (RISs) can be used as relays in cell-free massive MIMO networks to improve data rates further. In this paper, we analyze an alternative architecture where an RIS is integrated into the antenna array at each access point and acts as an intelligent transmitting surface to expand the aperture area. This approach alleviates the multiplicative fading effect that normally makes RIS-aided systems inefficient and offers a cost-effective alternative to building large antenna arrays. We use a small number of antennas and a larger number of controllable RIS elements to match the performance of an antenna array whose size matches that of the RIS. In this paper, we explore this innovative transceiver architecture in the uplink of a cell-free massive MIMO system for the first time, demonstrating its potential benefits through analytic and numerical contributions. The simulation results validate the effectiveness of our proposed phase-shift configuration and highlight scenarios where the proposed architecture significantly enhances data rates.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024. p. 546-550
Keywords [en]
Cell-free massive MIMO, dynamic cooperation clustering, RIS configuration, RIS-integrated antenna array
National Category
Telecommunications Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-355486DOI: 10.1109/SPAWC60668.2024.10694297ISI: 001337964100110Scopus ID: 2-s2.0-85207058890OAI: oai:DiVA.org:kth-355486DiVA, id: diva2:1909474
Conference
25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024, Lucca, Italy, Sep 10 2024 - Sep 13 2024
Note

QC 20241031

Part of ISBN 9798350393187

Available from: 2024-10-30 Created: 2024-10-30 Last updated: 2025-01-20Bibliographically approved

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Björnson, Emil

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Citation style
  • apa
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