CNN-based user selection in MIMO broadcasting channel

Seongbae Han, Gyuyeol Kong, Dongwook Kim, Sooyong Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132716
DOIs
Publication statusPublished - 2019 Jun
Event34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 - JeJu, Korea, Republic of
Duration: 2019 Jun 232019 Jun 26

Publication series

Name34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019

Conference

Conference34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
CountryKorea, Republic of
CityJeJu
Period19/6/2319/6/26

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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

Han, S., Kong, G., Kim, D., & Choi, S. (2019). CNN-based user selection in MIMO broadcasting channel. In 34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 [8793341] (34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITC-CSCC.2019.8793341