@inproceedings{b1860c5f0b694531bc8e5f56a5953f4d,
title = "Advanced markov chain Monte Carlo methods for iterative (Turbo) multiuser detection",
abstract = "Recently, Markov Chain Monte Carlo (MCMC) sampling methods have evolved as new promising solutions to both multiuser and multiple-input multiple-output (MIMO) detection problems. Approaches based on Gibbs sampling as a special type of MCMC methods are well suited due to their good trade-off between performance and complexity. However, it is known that detection methods based on Gibbs sampling may show a performance degradation in the high signal-to-noise ratio (SNR) regime. We propose an improved version of a soft-input soft-output algorithm, where this degradation effect is considerably mitigated. Employing the algorithm for turbo multiuser detection in overloaded code-division multiple-access (CDMA) systems yields excellent performance in comparison to other known detection schemes while requiring moderate computational complexity.",
author = "Dangl, {Markus A.} and Zhenning Shi and Reed, {Mark C.} and J{\"u}rgen Lindner",
year = "2006",
language = "English",
series = "Turbo Codes and Related Topics; 6th International ITG-Conference on Source and Channel Coding (TURBOCODING), 2006 4th International Symposium on",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Turbo Codes and Related Topics; 6th International ITG-Conference on Source and Channel Coding (TURBOCODING), 2006 4th International Symposium on",
address = "United States",
note = "6th International ITG-Conference on Source and Channel Coding and 2006 4th International Symposium on Turbo Codes and Related Topics, TURBOCODING 2006 ; Conference date: 03-04-2006 Through 07-04-2006",
}