Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

A Robust Digital Predistortion Algorithm for 5G MIMO : Modeling a MIMO Scenario With Two Nonlinear MIMO Transmitters Including a Cross-Coupling Effect

Title data

Ackermann, Thomas ; Potschka, Julian ; Maiwald, Tim ; Hagelauer, Amélie ; Fischer, Georg ; Weigel, Robert:
A Robust Digital Predistortion Algorithm for 5G MIMO : Modeling a MIMO Scenario With Two Nonlinear MIMO Transmitters Including a Cross-Coupling Effect.
In: IEEE Microwave Magazine. Vol. 21 (June 2020) Issue 7 . - pp. 54-62.
ISSN 1527-3342
DOI: https://doi.org/10.1109/MMM.2020.2985195

Official URL: Volltext

Abstract in another language

Linearity, efficiency, and power consumption are the key figures of merit for modern communication system design [1] as data rates increase toward millimeter-wave communication systems like 5G. A common problem is that both high linearity and efficiency are not simultaneously feasible in power amplifier (PA) design. Hence, when a PA is operated near saturation for highest efficiency, undesired harmonic and intermodulation distortions have to be taken into account [2], [3]. A transceiver comprises several circuit elements, such as a low-noise amplifier, mixer, and PA. In this transceiver chain, the PA usually exhibits the highest power consumption (i.e., it is worthwhile to maximize the efficiency of this circuit component to increase overall system performance)[4]

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Linearity; Power demand; Transceivers; Millimeter wave communication; 5G mobile communication; Power amplifiers; Energy consumption
Institutions of the University: Faculties > Faculty of Engineering Science > Chair Communication Electronics > Chair Communication Electronics - Univ.-Prof. Dr.-Ing. Amélie Marietta Hagelauer
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 19 Nov 2020 09:33
Last Modified: 19 Nov 2020 09:33
URI: https://eref.uni-bayreuth.de/id/eprint/57380