Title :
Linear Precoders for Bit-Interleaved Coded Modulation on AWGN Channels: Analysis and Design Criteria
Author :
Simoens, Frederik ; Wymeersch, Henk ; Moeneclaey, Marc
Author_Institution :
Ghent Univ., Ghent
Abstract :
This paper investigates linear precoding for bit-interleaved coded modulation (BICM) on additive white Gaussian noise (AWGN) channels. Concatenating a linear precoder as an inner encoder with an outer (convolutional) encoder produces a powerful code with a limited decoding complexity. Linear precoders are examined and optimized for two scenarios: using (i) a noniterative decoding strategy and (ii) an iterative decoding strategy under a perfect feedback assumption. The precoder design is based on an information-theoretical approach, on the one hand, and a pair-wise error probability (PEP) analysis, on the other hand. Both approaches render convenient precoder design rules. For a binary phase-shift keying (BPSK) signal set, the optimal precoders that result from these rules are also derived. Numerical results confirm the analytical findings and simulations illustrate the effectiveness of the approach.
Keywords :
AWGN channels; channel capacity; convolutional codes; error statistics; interleaved codes; iterative decoding; linear codes; phase shift keying; AWGN channel; additive white Gaussian noise channel; binary phase-shift keying signal; bit-interleaved coded modulation; channel capacity; convolutional encoder; decoding complexity; information theory; linear precoding; mapping design; noniterative decoding; pair-wise error probability; precoder design; AWGN channels; Additive white noise; Convolution; Convolutional codes; Error analysis; Feedback; Interleaved codes; Iterative decoding; Modulation coding; Pairwise error probability; Bit-interleaved coded modulation; channel capacity; iterative decoding; mapping design; precoding;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.911153