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Scalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments
Univ Hertfordshire, Commun & Intelligent Syst Res Grp, Hatfield AL10 9AB, Herts, England.;Univ Luxembourg, SnT, L-1359 Luxembourg, Luxembourg..
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS. Linköping Univ, S-58183 Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Univ Hertfordshire, Commun & Intelligent Syst Res Grp, Hatfield AL10 9AB, Herts, England..
Univ Luxembourg, SnT, L-1359 Luxembourg, Luxembourg..
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2021 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 70, no 10, p. 9701-9715Article in journal (Refereed) Published
Abstract [en]

Standard cell-free (CF) massive multiple-input-multiple-output (mMIMO) systems is a promising technology to cover the demands for higher data rates in fifth-generation (5G) networks and beyond. These systems assume a large number of distributed access points (APs) using joint coherent transmission to communicate with the users. However, CF mMIMO systems present an increasing computational complexity as the number of users increases. Scalable cell-free CF (SCF) systems have been proposed to face this challenge. Given that the cost-efficient deployment of such large networks requires low-cost transceivers, which are prone to unavoidable hardware imperfections, realistic evaluations of SCF mMIMO systems should take them into account before implementation. Hence, in this work, we focus on the impact of hardware impairments (HWIs) on the SCF mMIMO systems through a general model accounting for both additive and multiplicative impairments. Notably, there is no other work in the literature studying the impact of phase noise (PN) in the local oscillators (LOs) of CF mMIMO systems or in general the impact of any HWIs in SCF mMIMO systems. In particular, we derive upper and lower bounds on the uplink capacity accounting for HWIs. Moreover, we obtain the optimal hardware-aware (HA) partial minimum mean-squared error (PMMSE) combiner. Especially, the lower bound is derived in closed-form using the theory of deterministic equivalents (DEs). Among the interesting findings, we observe that separate LOs (SLOs) outperform a common LO (CLO), and the additive transmit distortion degrades more the performance than the additive receive distortion.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 70, no 10, p. 9701-9715
Keywords [en]
Additives, Hardware, Distortion, Uplink, Nonlinear distortion, Decoding, Antenna arrays, Cell-free massive MIMO systems, user-centric 5 G networks, transceiver hardware impairments, MMSE processing, capacity bounds
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-304221DOI: 10.1109/TVT.2021.3109341ISI: 000707443200009Scopus ID: 2-s2.0-85114733038OAI: oai:DiVA.org:kth-304221DiVA, id: diva2:1608282
Note

QC 20211103

Available from: 2021-11-03 Created: 2021-11-03 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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