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Massive MIMO Has Unlimited Capacity
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Paris Saclay, Nokia Bell Labs, F-91620 Nozay, France..ORCID iD: 0000-0002-0438-967X
Univ Pisa, Dipartimento Ingn Informaz, I-56122 Pisa, Italy.;Univ Paris Saclay, Cent Supelec, Large Syst & Networks Grp, F-91192 Gif Sur Yvette, France..ORCID iD: 0000-0002-2577-4091
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 1, p. 574-590Article in journal (Refereed) Published
Abstract [en]

The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a finite capacity limit, as the number of antennas goes to infinity. In this paper, we prove that this is incorrect and an artifact from using simplistic channel models and suboptimal precoding/combining schemes. We show that with multicell MMSE precoding/combining and a tiny amount of spatial channel correlation or large-scale fading variations over the array, the capacity increases without bound as the number of antennas increases, even under pilot contamination. More precisely, the result holds when the channel covariance matrices of the contaminating users are asymptotically linearly independent, which is generally the case. If also the diagonals of the covariance matrices are linearly independent, it is sufficient to know these diagonals (and not the full covariance matrices) to achieve an unlimited asymptotic capacity.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 17, no 1, p. 574-590
Keywords [en]
Massive MIMO, ergodic capacity, asymptotic analysis, spatial correlation, multi-cell MMSE processing, pilot contamination
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295890DOI: 10.1109/TWC.2017.2768423ISI: 000422945400042Scopus ID: 2-s2.0-85033704964OAI: oai:DiVA.org:kth-295890DiVA, id: diva2:1663820
Note

QC 20220620

Available from: 2022-06-02 Created: 2022-06-02 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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