The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
User-Centric 5G Cellular Networks: Resource Allocation and Comparison With the Cell-Free Massive MIMO Approach
Open accessAbstract
Recently, the so-called cell-free (CF) massive multiple-input multiple-output (MIMO) architecture has been introduced, wherein a very large number of distributed access points (APs) simultaneously and jointly serve a much smaller number of mobile stations (MSs). The paper extends the CF approach to the case in which both the APs and the MSs are equipped with multiple antennas, proposing a beamfoming scheme that, relying on the zero-forcing strategy, does not require channel estimation at the MSs. We contrast the originally proposed formulation of CF massive MIMO with a user-centric (UC) approach wherein each MS is served only by a limited number of APs. Exploiting the framework of successive lower-bound maximization, the paper also proposes and analyzes power allocation strategies aimed at either sum-rate maximization or minimum-rate maximization, both for the uplink and downlink. Results show that the UC approach, which requires smaller backhaul overhead and is more scalable that the CF deployment, also achieves generally better performance than the CF approach for the vast majority of the users, especially on the uplink.
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Cites
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Self-citationNoncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas
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Cell-Free Massive MIMO Versus Small Cells
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A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization
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Technical Note—A General Inner Approximation Algorithm for Nonconvex Mathematical Programs
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On the Total Energy Efficiency of Cell-Free Massive MIMO
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Precoding and Power Optimization in Cell-Free Massive MIMO Systems
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Algorithm-Unrolling-Based Distributed Optimization for RIS-Assisted Cell-Free Networks
Xu, W., An, J., Li, H., Gan, L., & Yuen, C. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3288072 · Cited by 49
Deep Learning-based Uplink Data Detection in User-Centric Cell-Free mMIMO Systems
Hematidoust, N., Tadaion, A., Buzzi, S., Magarini, M., & Sadeghi, M. T. (2025) · Iranian Journal of Science and Technology, Transactions of Electrical Engineering · doi:10.1007/s40998-025-00811-8 · Cited by 2
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Metadata
- Authors
- Buzzi, S., D'Andrea, C., Zappone, A., & D'Elia, C.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2020-02
- Volume
- 19
- Issue
- 2
- Pages
- 1250-1264
- ISSN
- 1536-1276 (ISSN-L)
- 1558-2248
- OpenAlex
- W2790964695
- Cited by
- 348
- References
- 20
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- green
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