@article{8816b867da564f388d1fe82d9c71463a,
title = "A close-to-capacity dirty paper coding scheme",
abstract = "The {"}writing on dirty paper{"} channel model offers an information-theoretic framework for precoding techniques for canceling arbitrary interference known at the transmitter. It indicates that lossless precoding is theoretically possible at any signal-to-noise ratio (SNR), and thus dirty-paper coding may serve as a basic building block in both single-user and multiuser communication systems. We design an end-to-end coding realization of a system materializing a significant portion of the promised gains. We employ multidimensional quantization based on trellis shaping at the transmitter. Coset decoding is implemented at the receiver using {"}virtual bits.{"} Combined with iterative decoding of capacity-approaching codes we achieve an improvement of 2 dB over the best scalar quantization scheme. Code design is done using the EXIT chart technique.",
keywords = "Dirty paper coding, EXIT chart, Interference cancellation, Iterative decoding, Minimum mean-squared error (MMSE) estimation, Mutual information, Repeat-accumulate (RA) codes, Vector quantization",
author = "Uri Erez and {ten Brink}, Stephan",
note = "Funding Information: Manuscript received April 12, 2004; revised January 14, 2005. The work of U. Erez was supported by MIT{\textquoteright}s Deshpande Center for Technological Innovation. The material in this paper was presented in part at the 41st Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, October 2003 and the IEEE International Symposium on Information Theory, Chicago, IL, June/July 2004.",
year = "2005",
month = oct,
doi = "10.1109/TIT.2005.855586",
language = "אנגלית",
volume = "51",
pages = "3417--3432",
journal = "IEEE Transactions on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "10",
}