Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
AI-assisted network-slicing based next-generation wireless networks
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …
and various network resources renders next-generation wireless networks (NGWNs) highly …
DeepCog: Cognitive network management in sliced 5G networks with deep learning
Network slicing is a new paradigm for future 5G networks where the network infrastructure is
divided into slices devoted to different services and customized to their needs. With this …
divided into slices devoted to different services and customized to their needs. With this …
Machine learning for network slicing resource management: A comprehensive survey
B Han, HD Schotten - arXiv preprint arXiv:2001.07974, 2020 - arxiv.org
The emerging technology of multi-tenancy network slicing is considered as an essential
feature of 5G cellular networks. It provides network slices as a new type of public cloud …
feature of 5G cellular networks. It provides network slices as a new type of public cloud …
DeepCog: Optimizing resource provisioning in network slicing with AI-based capacity forecasting
The dynamic management of network resources is both a critical and challenging task in
upcoming multi-tenant mobile networks, which requires allocating capacity to individual …
upcoming multi-tenant mobile networks, which requires allocating capacity to individual …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Overbooking network slices through yield-driven end-to-end orchestration
Network slicing allows mobile operators to offer, via proper abstractions, mobile
infrastructure (radio, networking, computing) to vertical sectors traditionally alien to the telco …
infrastructure (radio, networking, computing) to vertical sectors traditionally alien to the telco …
vrAIn: A deep learning approach tailoring computing and radio resources in virtualized RANs
JA Ayala-Romero, A Garcia-Saavedra… - The 25th Annual …, 2019 - dl.acm.org
The virtualization of radio access networks (vRAN) is the last milestone in the NFV
revolution. However, the complex dependencies between computing and radio resources …
revolution. However, the complex dependencies between computing and radio resources …
Edgeslice: Slicing wireless edge computing network with decentralized deep reinforcement learning
5G and edge computing will serve various emerging use cases that have diverse
requirements of multiple resources, eg, radio, transportation, and computing. Network slicing …
requirements of multiple resources, eg, radio, transportation, and computing. Network slicing …
Offline SLA-constrained deep learning for 5G networks reliable and dynamic end-to-end slicing
H Chergui, C Verikoukis - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
In this paper, we address the issue of resource provisioning as an enabler for end-to-end
dynamic slicing in software defined networking/network function virtualization (SDN/NFV) …
dynamic slicing in software defined networking/network function virtualization (SDN/NFV) …