Joint training of predistortion, power back-off and constellation for satellite power amplifiers using neural networks

Citation
101st IEEE Vehicular Technology Conference, VTC 2025
Contribution to Conference
101st IEEE Vehicular Technology Conference, VTC 2025  
Publisher DOI
10.1109/VTC2025-Spring65109.2025.11174412
Scopus ID
2-s2.0-105019061055
Publisher
IEEE
Peer Reviewed
true
ISBN of container
979-8-3315-3148-5
979-8-3315-3147-8
The deployment of satellite mega constellations may enable global coverage, even for direct transmission from satellite to handheld device. Such transmissions come with increased
demands in power efficiency. The traveling wave-tube amplifier (TWTA) in satellite payloads fundamentally limits the transmit power and causes distortions to the transmit signal when power efficient transmission close to amplifier saturation is desired. This work introduces a novel joint training paradigm of constellation, amplifier power back-off and data predistortion to maximize the throughput of single carrier transmission over transparent satellite links. The joint design is enabled by means of communication autoencoders, where transmitter and receiver components are adapted together to achieve the lowest bit error rate (BER). We show how constrained constellation optimization can improve performance on selected configurations from the broadcasting standard DVB-S2X. Results are presented in terms of coded BER and information rates.
Subjects
digital predistortion
satellite communications
constellation shaping
autoencoders
DDC Class
621.3: Electrical Engineering, Electronic Engineering
Publication version
acceptedVersion
Lizenz
http://rightsstatements.org/vocab/InC/1.0/
Publisher‘s Creditline
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting / republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to server or lists, or reuse of any copyrighted component of this work in other works
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