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Dirty MIMO Transmitters: Does It Matter?
Department of Information Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.ORCID iD: 0000-0003-2887-049x
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248Article in journal (Refereed) Accepted
Abstract [en]

The radio frequency transmitter is a key component in contemporary MIMO OFDM systems. A detailed study of a 2×2 MIMO transmitter subjected to correlated input data streams, nonlinear distortion, thermal noise, and crosstalk is provided by stochastic modeling. The effects of correlated input streams, crosstalk and nonlinearities are studied in detail, and exemplified both by approximate expressions and numerical simulations. Key results include exact and approximate expressions for the normalized mean-squared error (NMSE) for systems with or without digital predistortion, the relationship between NMSE and the signal-to-noise-and-distortion ratio, the properties of the distortion noise, and a novel design for power amplifier back-off for MIMO-transmitters subject to crosstalk. The theoretical derivations are illustrated by numerical examples and simulation results, and their relationship to state-of-the-art research are discussed. OAPA

Place, publisher, year, edition, pages
IEEE, 2018.
Keywords [en]
Bussgang theory, Crosstalk, input back-off, MIMO communication, Nonlinear distortion, OFDM, optimization, Orthogonal frequency division multiplexing (OFDM), power amplifier, Radio transmitters, Mean square error, Nonlinear optics, Orthogonal frequency division multiplexing, Power amplifiers, Radio frequency amplifiers, Radio transmission, Signal to noise ratio, Stochastic systems, Thermal noise, Transmitters, Approximate expressions, Input-back offs, Normalized mean squared errors, Radio frequency transmitters, Signal to noise and distortion ratio, Theoretical derivations, MIMO systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-27518DOI: 10.1109/TWC.2018.2843764Scopus ID: 2-s2.0-85048562714OAI: oai:DiVA.org:hig-27518DiVA, id: diva2:1230643
Available from: 2018-07-04 Created: 2018-07-04 Last updated: 2018-07-04Bibliographically approved

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Händel, PeterRönnow, Daniel

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