Signal Shaping for BICM at Low SNR
Journal article, 2013

The generalized mutual information (GMI) of bit-interleaved coded modulation (BICM) systems, sometimes called the BICM capacity, is investigated at low signal-to-noise ratio (SNR). The combinations of input alphabet, input distribution, and binary labeling that achieve the Shannon limit are completely characterized. The main conclusion is that a BICM system with probabilistic shaping achieves the Shannon limit at low SNR if and only if it can be represented as a zero-mean linear projection of a hypercube. Hence, probabilistic shaping offers no extra degrees of freedom to optimize the low-SNR BICM-GMI, in addition to what is provided by geometrical shaping. The analytical conclusions are confirmed by numerical results, which also show that for a fixed input alphabet, probabilistic shaping can improve the BICM-GMI in the low and medium SNR range.

wide-band regime

generalizedmutual information (GMI)

spectral efficiency

interleaved coded modulation

channel

bit-interleaved coded modulation (BICM)

hadamard-transform

Binary labeling

trellis codes

Author

Erik Agrell

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Alex Alvarado

University of Cambridge

IEEE Transactions on Information Theory

0018-9448 (ISSN) 1557-9654 (eISSN)

Vol. 59 4 2396-2410 6374254

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TIT.2012.2231900

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5/2/2018 7