Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Neural network aided computation of mutual information for adaptation of spatial modulation

A Tato, C Mosquera, P Henarejos… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Index Modulations, in the form of Spatial Modulation or Polarized Modulation, are gaining
traction for both satellite and terrestrial next generation communication systems. Adaptive …

Ergodic Capacity Estimation with Artificial Neural Networks in NOMA-Based Cognitive Radio Systems

M Namdar, A Guney, FK Bardak… - Arabian Journal for …, 2024 - Springer
The aim of this study is to predict the total ergodic capacity of near users in a cognitive radio
(CR)-based non-orthogonal multiple access (NOMA) system model using the proposed …

Traffic congestion prediction in satellite broadband communications

P Henarejos, L Blanco - 39th International Communications …, 2022 - ieeexplore.ieee.org
Operating a satellite network involves multiple disciplines and layers that may congest at
some moments. In particular, sudden traffic demands due to massive events may produce …

DNN Approach to Obtain BER Versus SNR for Spatial Modulation System

M Neema, ES Gopi, R Viswas, M Gandhi - Handbook of Formal …, 2024 - Springer
Index modulation (IM) techniques have garnered significant attention in research due to their
ability to provide energy-efficient and low-complexity solutions for upcoming wireless …

Estimation of maximum achievable datarate and ber in spatial modulation scheme using artificial neural network based regression model

M Neema, ES Gopi, R Viswas, M Gandhi - 2022 - researchsquare.com
Adopting multiple antenna schemes is an effective means to ensure signal reliability, as it
decreases the number of drop-outs and lost connections. These schemes present a trade-off …

[PDF][PDF] Machine Learning Based Spatial Modulation for IoT Networks

S Shrestha - 2022 - khalifauniversity.elsevierpure.com
Abstract Selina Shrestha,“Machine Learning Based Spatial Modulation for IoT Networks”, M.
Sc. Thesis, M. Sc. in Electrical and Computer Engineering, Department of Electrical …

[PDF][PDF] Estimation of Maximum Achievable Datarate and BER in Spatial Modulation Scheme using Artificial Neural Network based Regression Model

ES Gopi, R Viswas, M Gandhi - 2022 - scholar.archive.org
Adopting multiple antenna schemes is an effective means to ensure signal reliability, as it
decreases the number of drop-outs and lost connections. These schemes present a trade-off …