Deep Learning-Based Signal Detection for Dual-Mode Index Modulation 3D-OFDM

09/20/2022
by   Dang-Y Hoang, et al.
0

In this paper, we propose a deep learning-based signal detector called DuaIM-3DNet for dual-mode index modulation-based three-dimensional (3D) orthogonal frequency division multiplexing (DM-IM-3D-OFDM). Herein, DM-IM-3D- OFDM is a subcarrier index modulation scheme which conveys data bits via both dual-mode 3D constellation symbols and indices of active subcarriers. Thus, this scheme obtains better error performance than the existing IM schemes when using the conventional maximum likelihood (ML) detector, which, however, suffers from high computational complexity, especially when the system parameters increase. In order to address this fundamental issue, we propose the usage of a deep neural network (DNN) at the receiver to jointly and reliably detect both symbols and index bits of DM-IM-3D-OFDM under Rayleigh fading channels in a data-driven manner. Simulation results demonstrate that our proposed DNN detector achieves near-optimal performance at significantly lower runtime complexity compared to the ML detector.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/20/2022

Deep Neural Network-Based Detector for Single-Carrier Index Modulation NOMA

In this paper, a deep neural network (DNN)-based detector for an uplink ...
research
04/25/2022

Low Complexity Suboptimal ML Detection for OFDM-IM Systems

Orthogonal frequency division multiplexing with index modulation (OFDM-I...
research
07/04/2019

A Deep-learning-based Joint Inference for Secure Spatial Modulation Receiver

As a green and secure wireless transmission way, secure spatial modulati...
research
10/04/2019

A DNN Architecture for the Detection of Generalized Spatial Modulation Signals

In this paper, we consider the problem of signal detection in generalize...
research
02/06/2022

Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation

In this paper, a deep convolutional neural network-based symbol detectio...
research
07/29/2022

Enhancing Diversity of OFDM with Joint Spread Spectrum and Subcarrier Index Modulations

This paper proposes a novel spread spectrum and sub-carrier index modula...
research
02/27/2019

Communication without Interception: Defense against Deep-Learning-based Modulation Detection

We consider a communication scenario, in which an intruder, employing a ...

Please sign up or login with your details

Forgot password? Click here to reset