Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728132716 |
| DOIs | |
| Publication status | Published - 2019 Jun |
| Event | 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 - JeJu, Korea, Republic of Duration: 2019 Jun 23 → 2019 Jun 26 |
Publication series
| Name | 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 |
|---|
Conference
| Conference | 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 |
|---|---|
| Country | Korea, Republic of |
| City | JeJu |
| Period | 19/6/23 → 19/6/26 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Networks and Communications
- Hardware and Architecture
Cite this
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CNN-based user selection in MIMO broadcasting channel. / Han, Seongbae; Kong, Gyuyeol; Kim, Dongwook; Choi, Sooyong.
34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8793341 (34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
AN - SCOPUS:85071437416
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.
ER -