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A Discrete Information Bottleneck Receiver with Iterative Decision Feedback Channel Estimation
Publikationstyp
Conference Paper
Publikationsdatum
2019-01-23
Sprache
English
Institut
TORE-URI
Start Page
1
End Page
5
Citation
International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2019)
Contribution to Conference
Publisher DOI
Scopus ID
The application of the Information Bottleneck method allows for an innovative approach to quantized, but information-optimum signal processing. This method originates from machine learning, but also offers an unconventional and efficient design approach for communication receivers. In the resulting receivers all signal processing degenerates to simple lookup operations in tables. These lookup tables are designed to maximize the relevant information. This paper presents a novel iterative Information Bottleneck receiver for block fading channels which uses iterative decision feedback for information-optimum channel estimation. Detection, channel decoding and channel estimation only use lookup tables constructed with the Information Bottleneck method. We compare the proposed receiver to conventional iterative receivers. Our findings show that the proposed Information Bottleneck receiver offers performance extremely close to that of a conventional double precision receiver. Moreover, it outperforms a fixed point receiver, even with entirely mismatched lookup tables. © 2018 IEEE.