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https://hdl.handle.net/20.500.11851/11867
Title: | User-Centric Cell-Free Massive Mimo With Ris-Integrated Antenna Arrays | Authors: | Demir O.T. Bjornson E. |
Keywords: | Cell-free massive MIMO dynamic cooperation clustering RIS configuration RIS-integrated antenna array Broadcasting antennas Smart antennas Transceivers Cell-free Cell-free massive multiple-input multiple-output Clusterings Dynamic cooperation Dynamic cooperation clustering Integrated antennas Multiple inputs Multiple outputs Reconfigurable Reconfigurable intelligent surface configuration Reconfigurable intelligent surface-integrated antenna array Surface configuration 5G mobile communication systems |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | 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. © 2024 IEEE. | Description: | Huawei 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2024 -- 10 September 2024 through 13 September 2024 -- Lucca -- 203212 |
URI: | https://doi.org/10.1109/SPAWC60668.2024.10694297 https://hdl.handle.net/20.500.11851/11867 |
ISBN: | 979-835039318-7 | ISSN: | 2325-3789 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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