ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots For Error Resilient Operation

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Recent advancements in machine learning for communications show that channel autoencoders could revolutionize conventional communication systems through end-to-end optimization. For channel autoencoders to reliably transmit over the air, a scheme to enable adaptive use of resources is needed. Thus, we propose ConvAE-Advanced, an improved channel autoencoder structure that can adaptively transmit across multiple timeslots. ConvAE-Advanced utilizes an unexploited input dimension in ConvAE by the use of the resource-aware residual block and whole resource power normalization. This enabled ConvAE-Advanced to adaptively transmit information according to channel conditions. Simulations for a 2-by-2 multiple-input multiple-output system under the WINNER2 A1 scenario shows that ConvAE-Advanced outperforms ConvAE across all SNR ranges. Most importantly, ConvAE-Advanced can achieve a better BER and achievable rate performance without additional wireless resource usage compared to ConvAE.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2020-09
Language
English
Article Type
Article
Citation

IEEE COMMUNICATIONS LETTERS, v.24, no.9, pp.1976 - 1980

ISSN
1089-7798
DOI
10.1109/LCOMM.2020.2995857
URI
http://hdl.handle.net/10203/276518
Appears in Collection
EE-Journal Papers(저널논문)
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