@inproceedings{34ad65866c864d27ad84680168496a1c,
title = "Optimization of iterative PIC-MMSE based detection with symbol mapping",
abstract = "Recently, the iterative detection and decoding technique based on parallel interference cancellation with minimum mean square error (PIC-MMSE) has received considerable attention. To improve the performance, the detector usually adopts a self-iteration which iteratively estimate the soft bit information (SBI). This paper proposes two main idea to improve the performance as well as to reduce the complexity of the PIC-MMSE based MIMO detector. In order to reduce the complexity, we map PIC-MMSE filtered symbol to a specific region so that the detector does not require any search process to find the minima. In addition, we propose an optimization technique to increase the reliability of the soft symbols. Simulation results show that the complexity of the proposed method is reduced to linear-order without performance degradation, and the proposed optimization method can efficiently improve the performance with reasonable complexity.",
keywords = "iterative detection and decoding, MIMO detection, PIC-MMSE, self-iteration, soft bit estimation, symbol mapping",
author = "Meixiang Zhang and Chunxiao Li and Saleem Ahmed and Sooyoung Kim",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Communication Systems, ICCS 2016 ; Conference date: 14-12-2016 Through 16-12-2016",
year = "2017",
month = jan,
day = "25",
doi = "10.1109/ICCS.2016.7833615",
language = "English",
series = "2016 IEEE International Conference on Communication Systems, ICCS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Communication Systems, ICCS 2016",
}