Joint user, channel, modulation-coding selection, and RIS configuration for jamming resistance in multiuser OFDMA systems

X Yuan, S Hu, W Ni, RP Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) can potentially combat jamming. It is non-trivial to
perform holistic selections of users, data streams, and modulation-coding modes for all …

Machine learning with computer networks: Techniques, datasets and models

H Afifi, S Pochaba, A Boltres, D Laniewski… - IEEE …, 2024 - ieeexplore.ieee.org
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

[PDF][PDF] Machine Learning With Computer Networks: Techniques, Datasets, and Models

N WEHNER, A REDDER, E SAMIKWA - 2024 - opus.bibliothek.uni-augsburg.de
Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

[KIRJA][B] A Lightweight Machine-Learning Framework for Enhancing Security in Iot Blockchain Networks

CC Rawlins - 2024 - search.proquest.com
Blockchain is one of the fastest technologies that rivals the Internet in terms of adoption
speed. This security method is applicable to data-centric environments for validating data in …

Lyapunov-Inspired Deep Reinforcement Learning for Robot Navigation in Obstacle Environments

E Kayacan, HI Ugurlu, A Redder - Available at SSRN 4858689 - papers.ssrn.com
After its success in games and simulated control tasks, deep reinforcement learning (DRL)
has gained prominence in robotics for develo** neural network-based planning and …