Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
6G: The Intelligent Network of Everything--A Comprehensive Vision, Survey, and Tutorial
H Pennanen, T Hänninen, O Tervo, A Tölli… - arXiv preprint arXiv …, 2024 - arxiv.org
The global 6G vision has taken its shape after years of international research and
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
development efforts. This work culminated in ITU-R's Recommendation on" IMT-2030 …
Colosseum: The open RAN digital twin
Recent years have witnessed the Open Radio Access Network (RAN) paradigm
transforming the fundamental ways cellular systems are deployed, managed, and optimized …
transforming the fundamental ways cellular systems are deployed, managed, and optimized …
Sionna RT: Differentiable ray tracing for radio propagation modeling
Sionna™ is a GPU-accelerated open-source library for link-level simulations based on
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …
TensorFlow. Since release v0. 14 it integrates a differentiable ray tracer (RT) for the …
A detailed relevance analysis of enabling technologies for 6G architectures
DGS Pivoto, TT Rezende, MSP Facina, R Moreira… - IEEE …, 2023 - ieeexplore.ieee.org
As society evolves as a whole, new demands arise with increasingly demanding
prerequisites, consequently requiring more significant effort to be met. Such demands cover …
prerequisites, consequently requiring more significant effort to be met. Such demands cover …
Learning radio environments by differentiable ray tracing
Ray tracing (RT) is instrumental in 6G research in order to generate spatially-consistent and
environment-specific channel impulse responses (CIRs). While acquiring accurate scene …
environment-specific channel impulse responses (CIRs). While acquiring accurate scene …
Digital twin-empowered communications: A new frontier of wireless networks
The future of wireless network generations is revolving toward unlocking the opportunities
offered by virtualization and digitization services, with the aim to realize improved quality-of …
offered by virtualization and digitization services, with the aim to realize improved quality-of …
Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Optimizing edge caching is crucial for the advancement of next-generation (nextG) wireless
networks, ensuring high-speed and low-latency services for mobile users. Existing data …
networks, ensuring high-speed and low-latency services for mobile users. Existing data …
LLM-Twin: mini-giant model-driven beyond 5G digital twin networking framework with semantic secure communication and computation
Y Hong, J Wu, R Morello - Scientific Reports, 2024 - nature.com
Beyond 5G networks provide solutions for next-generation communications, especially
digital twins networks (DTNs) have gained increasing popularity for bridging physical and …
digital twins networks (DTNs) have gained increasing popularity for bridging physical and …
Open RAN: Evolution of architecture, deployment aspects, and future directions
PK Thiruvasagam, V Venkataram, VR Ilangovan… - arXiv preprint arXiv …, 2023 - arxiv.org
The Open Radio Access Network (Open RAN) aims to enable disaggregated, virtualized,
programmable, and data-driven intelligent network with open interfaces to support various …
programmable, and data-driven intelligent network with open interfaces to support various …