Seven defining features of terahertz (THz) wireless systems: A fellowship of communication and sensing
Wireless communication at the terahertz (THz) frequency bands (0.1–10 THz) is viewed as
one of the cornerstones of tomorrow's 6G wireless systems. Owing to the large amount of …
one of the cornerstones of tomorrow's 6G wireless systems. Owing to the large amount of …
A tutorial on radio system-level simulations with emphasis on 3GPP 5G-Advanced and beyond
K Pedersen, R Maldonado, G Pocovi… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
In this tutorial we present recipes for dynamic systemlevel simulations (SLSs) of 5G and
beyond cellular radio systems. A key ingredient for such SLSs is selection of proper models …
beyond cellular radio systems. A key ingredient for such SLSs is selection of proper models …
Sionna RT: Differentiable ray tracing for radio propagation modeling
Sionna is a GPU-accelerated open-source library for link-level simulations based on
TensorFlow. Its latest release (v0. 14) integrates a differentiable ray tracer (RT) for the …
TensorFlow. Its latest release (v0. 14) integrates a differentiable ray tracer (RT) for the …
Accelerating reinforcement learning via predictive policy transfer in 6g ran slicing
AM Nagib, H Abou-Zeid… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement Learning (RL) algorithms have recently been proposed to solve dynamic
radio resource management (RRM) problems in beyond 5G networks. However, RL-based …
radio resource management (RRM) problems in beyond 5G networks. However, RL-based …
Learning to do or learning while doing: Reinforcement learning and bayesian optimisation for online continuous tuning
Online tuning of real-world plants is a complex optimisation problem that continues to
require manual intervention by experienced human operators. Autonomous tuning is a …
require manual intervention by experienced human operators. Autonomous tuning is a …
Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach
AM Nagib, H Abou-Zeid… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
The open radio access network (O-RAN) architecture supports intelligent network control
algorithms as one of its core capabilities. Data-driven applications incorporate such …
algorithms as one of its core capabilities. Data-driven applications incorporate such …
Bayesian and multi-armed contextual meta-optimization for efficient wireless radio resource management
Optimal resource allocation in modern communication networks calls for the optimization of
objective functions that are only accessible via costly separate evaluations for each …
objective functions that are only accessible via costly separate evaluations for each …
Calibrating AI models for wireless communications via conformal prediction
When used in complex engineered systems, such as communication networks, artificial
intelligence (AI) models should be not only as accurate as possible, but also well calibrated …
intelligence (AI) models should be not only as accurate as possible, but also well calibrated …
Toward safe and accelerated deep reinforcement learning for next-generation wireless networks
Deep reinforcement learning (DRL) algorithms have recently gained wide attention in the
wireless networks domain. They are considered promising approaches for solving dynamic …
wireless networks domain. They are considered promising approaches for solving dynamic …
Bayesian optimization with formal safety guarantees via online conformal prediction
Black-box zero-th order optimization is a central primitive for applications in fields as diverse
as finance, physics, and engineering. In a common formulation of this problem, a designer …
as finance, physics, and engineering. In a common formulation of this problem, a designer …