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Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization
2020
IEEE Transactions on Communications
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The centralized or "cloud" radio access network (C-RAN) is a promising network architecture that can effectively address the interference and coordination issues in UDNs [2] . ...
In cell-free Massive MIMO, we process the physical-layer signals in a different way and we deploy the access points (APs) in a different way from conventional cellular networks. ...
doi:10.1109/tcomm.2020.3028305
fatcat:ttovec73rzac5nimr3n6ef4fw4
Foundations of User-Centric Cell-Free Massive MIMO
2020
Foundations and Trends® in Signal Processing
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2021 pre-print arXiv:2108.02541v1 fatcat:5ztscg5jrvhwtdvw6h4kuipii4Other Versions
This concept is called User-centric Cell-free Massive MIMO (multiple-input multiple-output) and has its roots in the intersection between three technology components: Massive MIMO, coordinated multipoint ...
The main challenge is to achieve the benefits of cell-free operation in a practically feasible way, with computational complexity and fronthaul requirements that are scalable to enable massively large ...
Acknowledgements 435 Acknowledgements We would first like to thank our students and collaborators in the areas related to this monograph. ...
doi:10.1561/2000000109
fatcat:seuhw5y3r5dnlcg26pund7oks4
Final Program
2021
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
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On the SIR Meta Distribution in Massive MTC Networks 5. Passive RIS vs. ...
CSI Quantization for FDD Massive MIMO
Communication
4. ...
doi:10.1109/vtc2021-spring51267.2021.9448675
fatcat:if5edc6u7zcc7jnl67jezth3je
Intelligent Radio Signal Processing: A Survey
2021
IEEE Access
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Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive ...
In particular, each theme is presented in a dedicated section, starting with the most fundamental principles, followed by a review of up-to-date studies and a summary. ...
., cloud RAN (C-RAN) and device-to-device (D2D) modes, and the on-off states of processors in the cloud. ...
doi:10.1109/access.2021.3087136
fatcat:lovomskphvecbnxmvbm4dadssi
Intelligent Radio Signal Processing: A Survey
[article]
2021
arXiv
pre-print
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Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network heterogeneity, diverse service requirements, a massive ...
In particular, each theme is presented in a dedicated section, starting with the most fundamental principles, followed by a review of up-to-date studies and a summary. ...
., cloud RAN (C-RAN) and device-to-device (D2D) modes, and the on-off states of processors in the cloud. ...
arXiv:2008.08264v3
fatcat:4wmxyio6ejfvbfnqodq5z426m4
Enabling Technologies for Ultra-Reliable and Low Latency Communications: From PHY and MAC Layer Perspectives
2019
IEEE Communications Surveys and Tutorials
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Future 5th generation (5G) networks are expected to enable three key services -enhanced mobile broadband (eMBB), massive machine type communications (mMTC) and ultra-reliable and low latency communications ...
Lastly, the paper discusses the potential future research directions and challenges in achieving the URLLC requirements. ...
In [146] , the authors propose a C-RAN and D2D combined architecture to handle the associated fronthaul delay of C-RAN. ...
doi:10.1109/comst.2019.2897800
fatcat:jgaahgi27rev3ieyrisn2yvh5m
The International Symposium on Advances in Software Defined Networking and Network Functions Virtualization ICN 2017 Committee ICN Steering Committee
2017
ICN 2017 The Sixteenth International Conference on Networks Forward The Sixteenth International Conference on Networks
unpublished
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Grids offer a uniform interface to a distributed collection of heterogeneous computational, storage and network resources. ...
Currently ongoing research and achievements refers to high performance and computability in Grid networks. ...
ACKNOWLEDGMENTS This work has been partially funded by the Brazilian agencies: CAPES, CNPq and FAPEMIG and also by PROPP/UFU. ...
fatcat:3eqszz6uere73hyvktad2m7ima