@inproceedings{23368b2197b24e428b9c9d820c119488,
title = "Semi-exhaustive reduced-complexity recursive block decoding for MIMO systems",
abstract = "In this work we propose a new recursive block decoding method for MIMO systems. A complexity reduction is obtained compared to existing methods by avoiding the exhaustive decoding on one block. We propose the use of a semi-exhaustive search using a list composed of the Maximum Likelihood (ML) solution and its neighborhoods. We show through error probability derivation that we can achieve the full diversity by fixing a judicious choice of the list size or equivalently a threshold metric. A desired diversity order can be obtained by changing the list size. Simulation results show the obtained performances and the complexity gain.",
keywords = "Block decoding, Diversity order, MIMO systems, Recursive decoding, Reduced complexity",
author = "Khsiba, \{Mohamed Achraf\} and Othman, \{Ghaya Rekaya Ben\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd International Conference on Telecommunications, ICT 2016 ; Conference date: 16-05-2016 Through 18-05-2016",
year = "2016",
month = jun,
day = "27",
doi = "10.1109/ICT.2016.7500476",
language = "English",
series = "2016 23rd International Conference on Telecommunications, ICT 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 23rd International Conference on Telecommunications, ICT 2016",
}