[HTML][HTML] A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks
Faced with the rapid increase in smart Internet-of-Things (IoT) devices and the high demand
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
for new business-oriented services in the fifth-generation (5G) and beyond network, the …
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
A Filali, Z Mlika, S Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
Toward greener 5G and beyond radio access networks—A survey
LMP Larsen, HL Christiansen, S Ruepp… - IEEE Open journal of …, 2023 - ieeexplore.ieee.org
Mobile network traffic is increasing and so is the energy consumption. The Radio Access
Network (RAN) part is responsible for the largest share of the mobile network energy …
Network (RAN) part is responsible for the largest share of the mobile network energy …
Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey
One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …
network slicing, in which the network is partitioned into several separated logical networks …
Machine learning in network slicing—a survey
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
Decentralized resource allocation-based multiagent deep learning in vehicular network
AD Mafuta, BTJ Maharaj, AS Alfa - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
Resource allocation (RA) has a significant impact on vehicular network performance. With
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
high mobility, RA is more challenging, as the number of vehicles in close proximity changes …
A federated DRL approach for smart micro-grid energy control with distributed energy resources
F Rezazadeh, N Bartzoudis - 2022 IEEE 27th International …, 2022 - ieeexplore.ieee.org
The prevalence of the Internet of things (IoT) and smart meters devices in smart grids is
providing key support for measuring and analyzing the power consumption patterns. This …
providing key support for measuring and analyzing the power consumption patterns. This …
RL-Based High-Level Radio Unit Clustering and Distributed Unit Assignment in User-Centric Cell-free mMIMO for ORAN-Based 6G
Cell-Free (CF) massive Multiple-Input-Multiple-Output (mMIMO) has recently gained
significant research attention as a promising technology for future wireless networks. Since …
significant research attention as a promising technology for future wireless networks. Since …
Network Slicing for Zero-Touch Networks: A Top-Notch Technology
Currently, the research field is extensively focused in Network Slicing technology. But for
End-to-End (E2E) NS implementations, Network Slice (NS) modelling features from …
End-to-End (E2E) NS implementations, Network Slice (NS) modelling features from …
A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
F Rezazadeh - arXiv preprint arXiv:2403.14516, 2024 - arxiv.org
Algorithmic innovation can unleash the potential of the beyond 5G (B5G)/6G communication
systems. Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a …
systems. Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a …