BLER performance evaluation of an enhanced channel autoencoder

JN Njoku, ME Morocho-Cayamcela, W Lim - Computer Communications, 2021 - Elsevier
The concept of using autoencoders (AEs) to represent wireless communication systems as
an end-to-end reconstruction task that optimizes the transmitter and receiver components …

Decode-and-Forward Based Cooperative MIMO System using Deep Learning for Wireless Body Area Networks

TTT Bui, XN Tran, AH Phan - 2023 12th International …, 2023 - ieeexplore.ieee.org
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 …

Dual domain learning of optimal resource allocations in wireless systems

M Eisen, C Zhang, LFO Chamon… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
We consider the problem of finding optimal resource allocations subject to system
constraints in a generic class of problems in wireless communications. These problems are …

Performance analysis of autoencoders in wireless communication systems with deep learning techniques

KS Rao, RK Goswami, SVR Rao… - Journal of Survey in …, 2023 - sifisheriessciences.com
Wireless experts worldwide have become interested in using Autoencoders (AEs) for
modelling communication systems as an end-to-end reconstruction task. This approach …

一种适用多种空时编码方案的MIMO 自编码器通信系统.

夏杉, 王旭东, 吴楠, 许志远 - Telecommunication …, 2022 - search.ebscohost.com
为提升现有端到端通信系统的适应性与信道估计的准确性, 提出了一种适用于多种空时编码方案
的多输入多输出(Multiple-Input Multiple-Output, MIMO) 自编码器通信系统 …

Deep Learning Based Cooperative MIMO Systems for Wireless Body Area Networks

T Bui, XN Tran, AH Phan - Available at SSRN 4529258, 2024 - papers.ssrn.com
Abstract Wireless Body Area Network (WBAN) is widely applied in various fields, including
healthcare, sports, wellness, and assistive technologies, by offering the benefits of …

Spectrum Occupancy Prediction based on adaptive Recurrent Neural Networks

K Umebayashi, Y Kasahara, H Iwata… - 2023 IEEE Wireless …, 2023 - ieeexplore.ieee.org
This paper investigates the prediction of spectrum usage by wireless local area networks
based on recurrent neural networks (RNNs). The prediction results can be used to enhance …

DNN-Based Physical-Layer Network Coding with Low-Complexity Codec

X Wang, X Xie, W Wang, W Qi, Y He… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Physical-layer network coding (PNC) is considered as a good option given its ability in
doubling the throughput of a two-way relay network (TWRN). In uplink of PNC, two end …

A Comprehensive Analysis of Deep Learning for Interference Suppression, Sample and Model Complexity in Wireless Systems

TR Oyedare - 2024 - vtechworks.lib.vt.edu
The wireless spectrum is limited and the demand for its use is increasing due to
technological advancements in wireless communication, resulting in persistent interference …

Data-Driven Based Methods for Physical Layer Detection and Estimation in 5G and Beyond Wireless Communication Systems

M Mehrabi - 2023 - era.library.ualberta.ca
Abstract The fifth-generation (5G) mobile network is growing rapidly and is set to
revolutionize the way we communicate, work and live. It offers faster speeds, lower latency …