Power amplifier input back-off optimization in ideally predistorted OFDM systems
2018 (engelsk)Inngår i: Proceedings 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018, Institute of Electrical and Electronics Engineers (IEEE) , 2018, s. 8-11Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]
Input back-off optimization in ideally predistorted OFDM systems is considered, in terms of maximizing the signal-to-distortion ratio. An approximate closed form expression for the input back-off is derived, providing achievement over a recently published state-of-the-art iterative optimization procedure. The back-off is shown to be entirely determined by the quotient between squared amplifier saturation voltage and the power of the channel or system noise. The theoretical findings are illustrated by numerical examples of practical relevance. Further, it is shown that maximizing the signal-to-distortion ratio is, in this particular case, equivalent to minimizing the normalized mean-squared-error.
sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE) , 2018. s. 8-11
Emneord [en]
Bussgang theory, Dirty radio, Input back-off, Optimization, Orthogonal frequency division multiplexing (OFDM), Radio frequency power amplifier, Mean square error, Orthogonal frequency division multiplexing, Power amplifiers, Amplifier saturation, Closed-form expression, Input-back offs, Iterative Optimization, Normalized mean squared errors, Radio frequency power amplifiers, Signal-to-distortion ratios, Radio frequency amplifiers
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-302066DOI: 10.1109/RTEICT42901.2018.9012621Scopus ID: 2-s2.0-85051729690OAI: oai:DiVA.org:kth-302066DiVA, id: diva2:1598442
Konferanse
3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2018, Bangalore, 18-19 May 2018
Merknad
QC 20210929
2021-09-292021-09-292022-06-25bibliografisk kontrollert