Title
Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix
Abstract
DNN has achieved state-of-the-art performance in MIMO detection problem. However, the deep and large model is hard to deploy to resource constrained platforms. In this work, we propose to provide a sparse DNN model for MIMO detection using permuted diagonal matrices. As a result, our model is with low complexity and doesn't have indexing overhead like other sparsity method. Experiment shows that o...
Year
DOI
Venue
2020
10.1109/IEEECONF51394.2020.9443325
2020 54th Asilomar Conference on Signals, Systems, and Computers
Keywords
DocType
ISBN
Computers,Computational modeling,Detectors,Complexity theory,Sparse matrices,MIMO communication,Indexing
Conference
978-0-7381-3126-9
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Siyu Liao1418.73
Chunhua Deng2187.45
Yi Xie342.17
Lingjia Liu479992.58
Bo Yuan5306.31