AI in EE

AI IN DIVISIONS

AI in Communication Division

End-to-end fast training of communication links without a channel model via online meta-learning

Authors: Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang

Conference: IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) 2020

Abstract: We propose coherent AI-based end-to-end communication system via online meta-learning without channel model. Precisely, we consider single, jointly trained transmitter with meta-learned receiver that quickly adapts to any new channel with few pilots, namely online hybrid joint and meta-training.

 

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Fig. 3: (a) The system first carries out online (meta-)training by transmitting multiple pilot packets (“P”) over time-varying channel conditions and by leveraging a feedback link; (b) Then, the system is tested on new channel conditions in the testing phase, which consists of both pilot and data (“D”) packets. The feedback link is not available for testing.