Performance Evaluation of Deep Learning Receiver for MIMO Systems

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Authors: Jimin Hong, Dongkyu Sim, Sanggeun Lee
Cited by: 0
References: 5

Abstract

In this paper, we present a deep-learning based receiver for multiple-input multiple-output systems. Moreover, we evaluate the performance of the deep-learning based receiver and compare it with that of conventional receivers. Simulation results demonstrate that the deep learning-based receiver outperforms linear receivers and achieves performance comparable to that of nonlinear receivers in terms of bit error rate.

Fields of Study & Subjects

Advanced Wireless Communication Techniques Wireless Signal Modulation Classification Advanced Power Amplifier Design

Publication details

Journal / source
International Conference on Electronics, Information, and Communication (ICEIC)
Pages
1–3
Publication date
18 January 2026
Language
EN