Jinxiang Song
Jinxiang Song is a PhD student in the Communication Systems Group. His research interests are in Machine Learning and Digital Communication.
Showing 17 publications
Spatial Signal Design for Positioning via End-to-End Learning
Autoencoders for Physical-Layer Communications: Approaches and Applications
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
Blind Frequency-Domain Equalization Using Vector-Quantized Variational Autoencoders
End-to-End Learning for Integrated Sensing and Communication
Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels
Learning Optimal PAM Levels for VCSEL-based Optical Interconnects
Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning
Model-Based End-to-End Learning for WDM Systems With Transceiver Hardware Impairments
Periodicity-Enabled Size Reduction of Symbol Based Predistortion for High-Order QAM
Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication
Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity
End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairments
Over-the-fiber Digital Predistortion Using Reinforcement Learning
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication
Learning Physical-Layer Communication with Quantized Feedback
Download publication list
You can download this list to your computer.
Filter and download publication list
As logged in user (Chalmers employee) you find more export functions in MyResearch.
You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:
Zotero Connector
Mendeley Web Importer
The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.
Showing 1 research projects
6G Artificial Intelligence Radar