TY - GEN
T1 - CNN-based user selection in MIMO broadcasting channel
AU - Han, Seongbae
AU - Kong, Gyuyeol
AU - Kim, Dongwook
AU - Choi, Sooyong
PY - 2019/6
Y1 - 2019/6
N2 - In this paper, we apply the convolutional neural networks (CNN) to the user selection in MIMO BC channel. To verify feasibility of the CNN-based user selection, the sum rates of CNN-based user selection are evaluated according to various types of input data. The simulation results compare the CNN-based user selection with the conventional user selection schemes and show that the CNN-based user selection is feasible.
AB - In this paper, we apply the convolutional neural networks (CNN) to the user selection in MIMO BC channel. To verify feasibility of the CNN-based user selection, the sum rates of CNN-based user selection are evaluated according to various types of input data. The simulation results compare the CNN-based user selection with the conventional user selection schemes and show that the CNN-based user selection is feasible.
UR - http://www.scopus.com/inward/record.url?scp=85071437416&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071437416&partnerID=8YFLogxK
U2 - 10.1109/ITC-CSCC.2019.8793341
DO - 10.1109/ITC-CSCC.2019.8793341
M3 - Conference contribution
T3 - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
BT - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Y2 - 23 June 2019 through 26 June 2019
ER -