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Ackermann, Thomas ; Potschka, Julian ; Maiwald, Tim ; Hagelauer, Amelie ; 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.
Bd. 21
(2020)
Heft 7
.
- S. 54-62.
ISSN 1527-3342
DOI: https://doi.org/10.1109/MMM.2020.2985195
Abstract
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]
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Keywords: | Linearity; Power demand; Transceivers; Millimeter wave communication; 5G mobile communication; Power amplifiers; Energy consumption |
| Institutionen der Universität: | Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren > Lehrstuhl Kommunikationselektronik - Univ.-Prof. Dr.-Ing. Amélie Marietta Hagelauer Fakultäten Fakultäten > Fakultät für Ingenieurwissenschaften Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Kommunikationselektronik Fakultäten > Fakultät für Ingenieurwissenschaften > Ehemalige Professoren |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
| Eingestellt am: | 19 Nov 2020 09:33 |
| Letzte Änderung: | 13 Sep 2022 10:47 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/57380 |