Waveform Learning for Next-Generation Wireless Communication Systems

We propose a learning-based method for the joint design of a transmit and receive filter, the constellation geometry and associated bit labeling, as well as a neural network (NN)-based detector. The method maximizes an achievable information rate, while simultaneously satisfying constraints on the a...

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Bibliographic Details
Published in:IEEE transactions on communications 2022-06, Vol.70 (6), p.1-1
Main Authors: Aoudia, Faycal Ait, Hoydis, Jakob
Format: Article
Language:English
Subjects:
Autoencoder
Codes
Deep learning
Geometric shaping
Geometry
Information rates
Labeling
Learning
Multipath channels
Neural networks
Orthogonal Frequency Division Multiplexing
Peak to average power ratio
Pulse shaping
Quadrature amplitude modulation
Random noise
Receivers
Waveform learning
Waveforms
Wireless communication systems
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Summary:We propose a learning-based method for the joint design of a transmit and receive filter, the constellation geometry and associated bit labeling, as well as a neural network (NN)-based detector. The method maximizes an achievable information rate, while simultaneously satisfying constraints on the adjacent channel leakage ratio (ACLR) and peak-to-average power ratio (PAPR). This allows control of the tradeoff between spectral containment, peak power, and communication rate. Evaluation on an additive white Gaussian noise (AWGN) channel shows significant reduction of ACLR and PAPR compared to a conventional baseline relying on quadrature amplitude modulation (QAM) and root-raised-cosine (RRC), without significant loss of information rate. When considering a 3rd Generation Partnership Project (3GPP) multipath channel, the learned waveform and neural receiver enable competitive or higher rates than an orthogonal frequency division multiplexing (OFDM) baseline, while reducing the ACLR by 10 dB and the PAPR by 2 dB. The proposed method incurs no additional complexity on the transmitter side and might be an attractive tool for waveform design of beyond-5G systems.
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2022.3164060