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Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency
Linköping Univ, Linköping, Sweden..ORCID-id: 0000-0002-5954-434x
Nokia, Bell Labs, Madras, Tamil Nadu, India..ORCID-id: 0000-0002-0438-967X
Univ Pisa, Pisa, Italy..ORCID-id: 0000-0002-2577-4091
2017 (engelsk)Inngår i: FOUNDATIONS AND TRENDS IN SIGNAL PROCESSING, ISSN 1932-8346, Vol. 11, nr 3-4, s. 154-655Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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. The monograph contains many numerical examples, which can be reproduced using Matlab code that is available online at https://dx.doi.org/10.1561/2000000093_supp.

sted, utgiver, år, opplag, sider
NOW PUBLISHERS INC , 2017. Vol. 11, nr 3-4, s. 154-655
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URN: urn:nbn:se:kth:diva-295920DOI: 10.1561/2000000093ISI: 000419227900001Scopus ID: 2-s2.0-85034624704OAI: oai:DiVA.org:kth-295920DiVA, id: diva2:1663811
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QC 20220620

Tilgjengelig fra: 2022-06-02 Laget: 2022-06-02 Sist oppdatert: 2022-06-25bibliografisk kontrollert

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Björnson, Emil

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Björnson, EmilHoydis, JakobSanguinetti, Luca

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