Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink-Reference-Cited by-同舟云学术

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Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink

Published:2020-08 Issue:8 Volume:38 Page:1678-1697
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Bashar Manijeh^ORCID,Akbari Ali,Cumanan Kanapathippillai^ORCID,Ngo Hien Quoc^ORCID,Burr Alister G.^ORCID,Xiao Pei^ORCID,Debbah Merouane,Kittler Josef^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9171587/09110901.pdf?arnumber=9110901

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2. Power Optimization and ARSs Selection Strategies in Downlink Cell-Free Multi-ARSs Communication Systems;Arabian Journal for Science and Engineering;2024-08-27

3. Large-Scale Fading Decoding Aided User-Centric Cell-Free Massive MIMO: Uplink Error Probability Analysis and Detector Design;IEEE Transactions on Wireless Communications;2024-08

4. Survey on Resource Allocation for Future 6G Network Architectures: Cell-Free and Radio Stripe Technologies;Electronics;2024-06-25

5. PSA based power control for cell-free massive MIMO under LoS/NLoS channels;Physical Communication;2024-06

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