Ubiquitous cell-free massive MIMO communications
Open accessAbstract
Since the first cellular networks were trialled in the 1970s, we have witnessed an incredible wireless revolution. From 1G to 4G, the massive traffic growth has been managed by a combination of wider bandwidths, refined radio interfaces, and network densification, namely increasing the number of antennas per site. Due its cost-efficiency, the latter has contributed the most. Massive MIMO (multiple-input multiple-output) is a key 5G technology that uses massive antenna arrays to provide a very high beamforming gain and spatially multiplexing of users and hence increases the spectral and energy efficiency (see references herein). It constitutes a centralized solution to densify a network, and its performance is limited by the inter-cell interference inherent in its cell-centric design. Conversely, ubiquitous cell-free Massive MIMO refers to a distributed Massive MIMO system implementing coherent user-centric transmission to overcome the inter-cell interference limitation in cellular networks and provide additional macro-diversity. These features, combined with the system scalability inherent in the Massive MIMO design, distinguish ubiquitous cell-free Massive MIMO from prior coordinated distributed wireless systems. In this article, we investigate the enormous potential of this promising technology while addressing practical deployment issues to deal with the increased back/front-hauling overhead deriving from the signal co-processing.
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Quantum-assisted multi-user detection/transmission has been studied in scenarios including direct-sequence spreading SDMA-OFDM, CDMA and SDMA, Multi-Carrier IDMA, and NOMA systems.
“quantum-assisted multi-user detection/transmission has been studied in various scenairos including direct-sequence spreading SDMA-OFDM, CDMA and SDMA, Multi-Carrier IDMA, and NOMA systems in [163], [164], [165], and [38], respectively.”
From Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019) · cites this paper as [163]
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References 37 · Cited by 646
- Authors
- Interdonato, G., Björnson, E., Quoc Ngo, H., Frenger, P., & Larsson, E. G.
- Affiliations
- Linköping University (SE)
- Ericsson (Sweden) (SE)
- Corresponding author
- Interdonato, Giovanni
- Venue
- EURASIP Journal on Wireless Communications and Networking
- Published
- 2019-08-05
- Volume
- 2019
- Issue
- 1
- ISSN
- 1687-1472 (ISSN-L)
- 1687-1499
- OpenAlex
- W2797535556
- Cited by
- 646
- References
- 37
- Citations by year
- 2026: 51 · 2025: 83 · 2024: 102 · 2023: 106 · 2022: 105 · 2021: 90 · 2020: 65 · 2019: 36 · 2018: 8
- FWCI
- 26.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- EURASIP Journal on Wireless Communications and Networking (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- DiVA (Linkoping University) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Archivio Istituzionale della Ricerca - Università degli Studi di Cassino (submittedVersion, cc-by)
- Research Portal (Queen's University Belfast) (submittedVersion, cc-by)
- arXiv (Cornell University)
- Funders
- H2020 Marie Skłodowska-Curie Actions (641985)
- ELLIIT
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
- Keywords
- distributed antenna systems, inter-cell interference, macrodiversity, network densification, beamforming, 5G, spectral efficiency, energy efficiency
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