This paper proposes an autoencoder based multiple-input multiple-output (MIMO) communication system. The proposed autoencoder learns and optimizes for only line of sight (LOS) component of Rician channel. In addition, we adopt multi-dimensional constellation (MDC) in autoencoder, where it is obtained during learning process of autoencoder by adjusting hyperparameter. Simulation results show that our proposed autoencoder using MDC achieves better symbol error rate (SER) performance compared to conventional communication system which uses quadrature amplitude modulation (QAM) constellation. Furthermore, we confirmed that although proposed autoencoder is learned for only LOS component, it can be applied to random Rician flat fading channels with fading components and channel variation terms.
|Title of host publication||ITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2020 Jul|
|Event||35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 - Nagoya, Japan|
Duration: 2020 Jul 3 → 2020 Jul 6
|Name||ITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications|
|Conference||35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020|
|Period||20/7/3 → 20/7/6|
Bibliographical noteFunding Information:
This work was supported in part by the Samsung Research in Samsung Electronics.
© 2020 IEICE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems and Management
- Electrical and Electronic Engineering