LLR Compression for BICM Systems Using Large Constellations
Abstract
Digital video broadcasting (DVB-C2) and other modern communication standards increase diversity by means of a symbol-level interleaver that spans over several codewords. De-interleaving at the receiver requires a large memory, which has a significant impact on the implementation cost. In this paper, we propose a technique that reduces the de-interleaver memory size. By quantizing log-likelihood ratios with bit-specific quantizers and compressing the quantized output, we can significantly reduce the memory size with a negligible increase in computational complexity. Both the quantizer and compressor are designed via a GMI-based maximization procedure. For a typical DVB-C2 scenario, numerical results show that the proposed solution enables a memory saving up to 30%.
Keywords
Cite
@article{arxiv.1210.5183,
title = {LLR Compression for BICM Systems Using Large Constellations},
author = {Stefano Rosati and Stefano Tomasin and Matteo Butussi and Bixio Rimoldi},
journal= {arXiv preprint arXiv:1210.5183},
year = {2016}
}
Comments
12 pages, 11 figures, submitted to IEEE Trans. on Communications