This paper presents a vision transformer (ViT) based joint source and channel coding
(JSCC) scheme for wireless image transmission over multiple-input multiple-output (MIMO) …

This paper introduces a vision transformer (ViT)-based deep joint source and channel
coding (DeepJSCC) scheme for wireless image transmission over multiple-input multiple …

Molecular communication (MC) is a novel paradigm for nano-communication networks.
Compared with diffusion-based single-input single-out (SISO) systems, multiple-input …

Iterative detection and decoding (IDD) is known to achieve near-capacity performance in
multi-antenna wireless systems. We propose deep-unfolded interleaved detection and …

In this paper, we propose neural sum rate maximization, which is a neural network-based
approach to tackle the nonconvex problem of maximizing the weighted sum rates with …

This article introduces two novel multiple input multiple output spatial division multiplexing
(MIMO-SDM) systems based on deep learning techniques using bit-wise (BW) and symbol …

Even though machine learning (ML) techniques are being widely used in communications,
the question of how to train communication systems has received surprisingly little attention …

An enhanced framework for peak-to-average power ratio (PAPR) reduction and waveform
design for Multiple-Input-Multiple-Output (MIMO) orthogonal frequency-division multiplexing …

In this article, we introduce a Decode-and-Forward (DF) based cooperative Multiple-Input
Multiple-Output (MIMO) system using autoencoder (AE) technique, abbreviated as AE-DF …

In this paper, we introduce Neural Sum Rate Maximization to address nonconvex problems
in maximizing sum rates with a total power constraint for downlink multiple access. We …