@inproceedings{5cd1127c6a94463bb2b18715eed44995,
title = "Lattice reduction aided linear detection for generalized spatial modulation",
abstract = "For reducing the complexity of equalization, linear equalization can be adopted for generalized spatial modulation (GSM) which is a special case of multiple-input-and-multiple-output (MIMO). However, because of its inferior performance, linear equalization may be infeasible for practical GSM systems which has large number of antennas and constellation. On the other hand, lattice-reduction (LR) is an effective method to improve the performance of linear equalization. The lattice reduction can{\textquoteright}t be utilized by GSM directly, because signals on some antennas don{\textquoteright}t exist. For tackling this problem, we propose a compatible 8-QAM constellation scheme integrating LR-aided linear equalization with GSM effectively. Next, we prove that LR-aided linear equalizers collect the same diversity order as that exploited by the ML detector under Rayleigh fading channels, and implement some simulations. Simulation results show the superior of the proposed 8-QAM over traditional 4-QAM and 8-QAM under Rayleigh fading channel. Moreover, our scheme obtains the full receive diversity under correlated channel.",
keywords = "8-QAM, Generalized spatial modulation, Lattice reduction, Linear detection",
author = "Chungang Liu and Chen Wang and Wenbin Zhang",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017 ; Conference date: 05-08-2017 Through 06-08-2017",
year = "2018",
doi = "10.1007/978-3-319-73564-1\_18",
language = "英语",
isbn = "9783319735634",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "181--194",
editor = "Xuemai Gu and Gongliang Liu and Bo Li",
booktitle = "Machine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings",
address = "德国",
}