Jinxiang Song

Doctoral Student at Communication Systems

Jinxiang Song is a PhD student in the Communication Systems Group. His research interests are in Machine Learning and Digital Communication.

Source: chalmers.se
Image of Jinxiang Song

Showing 5 publications

2021

Over-the-fiber Digital Predistortion Using Reinforcement Learning

Jinxiang Song, Zonglong He, Christian Häger et al
2021 European Conference on Optical Communications, ECOC 2021
Paper in proceeding
2021

Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity

Zonglong He, Jinxiang Song, Christian Häger et al
2021 European Conference on Optical Communications, ECOC 2021
Paper in proceeding
2021

End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment

Jinxiang Song, Christian Häger, Jochen Schröder et al
2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
Paper in proceeding
2020

Learning Physical-Layer Communication with Quantized Feedback

Jinxiang Song, Bile Peng, Christian Häger et al
IEEE Transactions on Communications. Vol. 68 (1), p. 645-653
Journal article
2020

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication

Jinxiang Song, Christian Häger, Jochen Schröder et al
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
Paper in proceeding

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Showing 1 research projects

2021–2023

6G Artificial Intelligence Radar

Henk Wymeersch Communication Systems
Christian Häger Communication Systems
Juliano Pinto Signal Processing
Lennart Svensson Signal Processing
Furkan Keskin Communication Systems
Jinxiang Song Communication Systems
Yibo Wu Communication Systems
Chalmers AI Research Centre

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