The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
Abstract
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for the next generation of wireless communication networks because it has the potential to provide game-changing improvements in spectral efficiency (SE) and energy efficiency (EE). This monograph summarizes many years of research insights in a clear and self-contained way and provides the reader with the necessary knowledge and mathematical tools to carry out independent research in this area. Starting from a rigorous definition of Massive MIMO, the monograph covers the important aspects of channel estimation, SE, EE, hardware efficiency (HE), and various practical deployment considerations. From the beginning, a very general, yet tractable, canonical system model with spatial channel correlation is introduced. This model is used to realistically assess the SE and EE, and is later extended to also include the impact of hardware impairments. Owing to this rigorous modeling approach, a lot of classic “wisdom” about Massive MIMO, based on too simplistic system models, is shown to be questionable.
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Cites
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Cited by
Prospective Multiple Antenna Technologies for Beyond 5G
Zhang, J., Bjornson, E., Matthaiou, M., Ng, D. W. K., Yang, H., & Love, D. J. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000826 · Cited by 877
Pei, X., Yin, H., Tan, L., Cao, L., Li, Z., Wang, K., Zhang, K., & Bjornson, E. (2021) · IEEE Transactions on Communications · doi:10.1109/tcomm.2021.3116151 · Cited by 553
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
Spatially-Stationary Model for Holographic MIMO Small-Scale Fading
Pizzo, A., Marzetta, T. L., & Sanguinetti, L. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3000877 · Cited by 263
Self-citationRIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications
Shi, E., Zhang, J., Du, H., Ai, B., Yuen, C., Niyato, D., Letaief, K. B., & Shen, X. (2024) · Proceedings of the IEEE · doi:10.1109/jproc.2024.3404491 · Cited by 224
Metadata
- Authors
- Björnson, E., Hoydis, J., & Sanguinetti, L.
- Venue
- Foundations and Trends® in Signal Processing
- Publisher
- Emerald
- Published
- 2017
- Volume
- 11
- Issue
- 3-4
- Pages
- 154-655
- ISSN
- 1932-8346 (ISSN-L)
- 1932-8354
- OpenAlex
- W2770606349
- Cited by
- 2,137
- References
- 6
- FWCI
- 49.23
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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