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Large-scale-fading decoding in cellular Massive MIMO systems with spatially correlated channels
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. (Communication Systems Division)
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2093-5466
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. (Communication Systems Division)ORCID iD: 0000-0002-5954-434X
2019 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 67, no 4, p. 2746-2762Article in journal (Refereed) Published
Abstract [en]

Massive multiple-input–multiple-output (MIMO) systems can suffer from coherent intercell interference due to the phenomenon of pilot contamination. This paper investigates a two-layer decoding method that mitigates both coherent and non-coherent interference in multi-cell Massive MIMO. To this end, each base station (BS) first estimates the channels to intra-cell users using either minimum mean-squared error (MMSE) or element-wise MMSE estimation based on uplink pilots. The estimates are used for local decoding on each BS followed by a second decoding layer where the BSs cooperate to mitigate inter-cell interference. An uplink achievable spectral efficiency (SE) expression is computed for arbitrary two-layer decoding schemes. A closed form expression is then obtained for correlated Rayleigh fading, maximum-ratio combining, and the proposed large-scale fading decoding (LSFD) in the second layer. We also formulate a sum SE maximization problem with both the data power and LSFD vectors as optimization variables. Since this is an NP-hard problem, we develop a low-complexity algorithm based on the weighted MMSE approach to obtain a local optimum. The numerical results show that both data power control and LSFD improve the sum SE performance over single-layer decoding multi-cell Massive MIMO systems.

Place, publisher, year, edition, pages
IEEE Communications Society, 2019. Vol. 67, no 4, p. 2746-2762
Keywords [en]
Massive MIMO, Large-Scale Fading Decoding, Sum Spectral Efficiency Optimization, Channel Estimation
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-156657DOI: 10.1109/TCOMM.2018.2889090ISI: 000465242700011Scopus ID: 2-s2.0-85059010638OAI: oai:DiVA.org:liu-156657DiVA, id: diva2:1313614
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

Funding agencies: European Unions Horizon 2020 Research and Innovation Programme [641985]; ELLIIT; CENIIT

Available from: 2019-05-04 Created: 2019-05-04 Last updated: 2019-06-28Bibliographically approved

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Van Chien, TrinhMollén, ChristopherBjörnson, Emil

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