@inproceedings{b081bb737fa648f982f231731581ea42,
title = "Structured Neural Network with Low Complexity for MIMO Detection",
abstract = "Neural network has been applied into MIMO detection problem and has achieved the state-of-The-Art performance. However, it is hard to deploy these large and deep neural network models to resource constrained platforms. In this paper, we impose the circulant structure inside neural network to generate a low complexity model for MIMO detection. This method can train the circulant structured network from scratch or convert from an existing dense neural network model. Experiments show that this algorithm can achieve half the model size with negligible performance drop.",
keywords = "MIMO detection, circulant, neural network",
author = "Siyu Liao and Chunhua Deng and Lingjia Liu and Bo Yuan",
note = "Funding Information: This work is supported by National Science Foundation Awards CCF-1854742 and 1815699. Publisher Copyright: {\textcopyright} 2019 IEEE.; 33rd IEEE International Workshop on Signal Processing Systems, SiPS 2019 ; Conference date: 20-10-2019 Through 23-10-2019",
year = "2019",
month = oct,
doi = "10.1109/SiPS47522.2019.9020365",
language = "English (US)",
series = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "290--295",
booktitle = "2019 IEEE International Workshop on Signal Processing Systems, SiPS 2019",
address = "United States",
}