Intelligent multi-branch allocation of spectrum slices for inter-numerology interference minimization
M Zambianco, G Verticale - Computer Networks, 2021 - Elsevier
Network slicing and mixed-numerology access schemes cover a central role to enable the
flexible multi-service connectivity that characterizes 5G radio access networks (RAN) …
flexible multi-service connectivity that characterizes 5G radio access networks (RAN) …
Spectrum allocation for network slices with inter-numerology interference using deep reinforcement learning
M Zambianco, G Verticale - 2020 IEEE 31st Annual …, 2020 - ieeexplore.ieee.org
Network slicing and mixed-numerology schemes are essential technologies to efficiently
accommodate different services in 5G radio access networks (RAN). To fully take advantage …
accommodate different services in 5G radio access networks (RAN). To fully take advantage …
Mixed-numerology interference-aware spectrum allocation for eMBB and URLLC network slices
M Zambianco, G Verticale - 2021 19th Mediterranean …, 2021 - ieeexplore.ieee.org
5G RAN slicing makes it possible to simultaneously support enhanced mobile broadband
(eMBB) and ultra-reliable low-latency communications (URLLC) services characterized by …
(eMBB) and ultra-reliable low-latency communications (URLLC) services characterized by …
A reinforcement learning agent for mixed-numerology interference-aware slice spectrum allocation with non-deterministic and deterministic traffic
M Zambianco, G Verticale - Computer Communications, 2022 - Elsevier
Abstract 5G RAN slicing is an essential tool to support the simultaneous coexistence of
enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications …
enhanced mobile broadband (eMBB) and ultra-reliable low-latency communications …
Reinforcement learning for dynamic resource optimization in 5G radio access network slicing
The paper presents a reinforcement learning solution to dynamic resource allocation for 5G
radio access network slicing. Available communication resources (frequency-time blocks …
radio access network slicing. Available communication resources (frequency-time blocks …
MUESLI: Multi-objective radio resource slice management via reinforcement learning
A Kattepur, S David, S Mohalik - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
5G Radio Access Network (RAN) slicing concerns strategies to share radio resources while
guaranteeing differentiated service requirements. Current state of the art approaches make …
guaranteeing differentiated service requirements. Current state of the art approaches make …
Smart radio access selection and slice allocation for differentiated traffic management over 6G heterogeneous networks
CC González, M Murroni - Proceedings of the 15th ACM Multimedia …, 2024 - dl.acm.org
The upcoming 6G systems will represent a complete paradigm shift for global
communications, claiming a three-dimensional (3D) ecosystem with terrestrial and non …
communications, claiming a three-dimensional (3D) ecosystem with terrestrial and non …
Inter-cell slicing resource partitioning via coordinated multi-agent deep reinforcement learning
Network slicing enables the operator to configure virtual network instances for diverse
services with specific requirements. To achieve the slice-aware radio resource scheduling …
services with specific requirements. To achieve the slice-aware radio resource scheduling …
Slice management in radio access network via deep reinforcement learning
In future 5G systems, it is envisioned that the physical resources of a single network will be
dynamically shared between the virtual end-to-end networks called “slices” and the network …
dynamically shared between the virtual end-to-end networks called “slices” and the network …
Multi-service network slicing 5G NR orchestration via tailored HARQ scheme design and hierarchical resource scheduling
M Maule, JS Vardakas… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In the radio access network domain, novel applications' requirements and network dynamics
claim scalable processing capabilities, decentralized architecture, and on-demand resource …
claim scalable processing capabilities, decentralized architecture, and on-demand resource …