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Higher order constellations for channels with residual phase noise and nonlinear power amplifiers
Citation Link: https://doi.org/10.15480/882.15939
Publikationstyp
Conference Paper
Date Issued
2025
Sprache
English
TORE-DOI
Citation
IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
Peer Reviewed
true
In satellite transponders, hardware impairments play a significant role when transmission at very high data rates is desired. Two components in satellite transponders causing
such impairments are the power amplifier and the oscillator. Particularly for high data rates, the power amplifier needs to be driven as close to saturation as possible, as doing so maximizes
transmit power. Operation close to saturation, however, causes clipping effects. The local oscillator, on the other hand, poses challenges to synchronization at the receiver particularly at high data rates. Hence, imperfect synchronizers can result in high residual phase noise which needs to be taken into account as additional hardware impairment. When it comes to designing
optimal transmit constellations, past research has treated these problems individually, resulting in spiral constellations for channels with high phase noise and amplitude and phaseshift
keying (APSK) constellations for channels with amplifiers operating close to saturation. In this work, we optimize high order constellation, i.e., with order 256, for channels with joint
impairment of power amplifier and residual phase noise. We optimize our constellations using neural networks, and propose an extension of spiral constellation optimization using a feedforward
network. We compare our proposed constellations to APSK constellations from DVB-S2X and spiral constellations and provide information rates for different severities of each
impairment.
such impairments are the power amplifier and the oscillator. Particularly for high data rates, the power amplifier needs to be driven as close to saturation as possible, as doing so maximizes
transmit power. Operation close to saturation, however, causes clipping effects. The local oscillator, on the other hand, poses challenges to synchronization at the receiver particularly at high data rates. Hence, imperfect synchronizers can result in high residual phase noise which needs to be taken into account as additional hardware impairment. When it comes to designing
optimal transmit constellations, past research has treated these problems individually, resulting in spiral constellations for channels with high phase noise and amplitude and phaseshift
keying (APSK) constellations for channels with amplifiers operating close to saturation. In this work, we optimize high order constellation, i.e., with order 256, for channels with joint
impairment of power amplifier and residual phase noise. We optimize our constellations using neural networks, and propose an extension of spiral constellation optimization using a feedforward
network. We compare our proposed constellations to APSK constellations from DVB-S2X and spiral constellations and provide information rates for different severities of each
impairment.
Subjects
autoencoders
phase noise
power amplifiers
constellation shaping
satellite communications
DDC Class
621: Applied Physics
519: Applied Mathematics, Probabilities
Publisher‘s Creditline
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