Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …
computer vision, natural language processing, and speech recognition by its strong …
Neural network aided computation of mutual information for adaptation of spatial modulation
Index Modulations, in the form of Spatial Modulation or Polarized Modulation, are gaining
traction for both satellite and terrestrial next generation communication systems. Adaptive …
traction for both satellite and terrestrial next generation communication systems. Adaptive …
Ergodic Capacity Estimation with Artificial Neural Networks in NOMA-Based Cognitive Radio Systems
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 …
(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 …
some moments. In particular, sudden traffic demands due to massive events may produce …
DNN Approach to Obtain BER Versus SNR for Spatial Modulation System
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 …
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 …
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 …
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 …
decreases the number of drop-outs and lost connections. These schemes present a trade-off …