A comprehensive review on artificial intelligence/machine learning algorithms for empowering the future IoT toward 6G era
MR Mahmood, MA Matin, P Sarigiannidis… - IEEE …, 2022 - ieeexplore.ieee.org
The evolution of the wireless network systems over decades has been providing new
services to the users with the help of innovative network and device technologies. In recent …
services to the users with the help of innovative network and device technologies. In recent …
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 …
[HTML][HTML] Federated deep reinforcement learning-based task offloading and resource allocation for smart cities in a mobile edge network
X Chen, G Liu - Sensors, 2022 - mdpi.com
Mobile edge computing (MEC) has become an indispensable part of the era of the intelligent
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …
manufacturing industry 4.0. In the smart city, computation-intensive tasks can be offloaded to …
Using distributed reinforcement learning for resource orchestration in a network slicing scenario
The Network Slicing (NS) paradigm enables the partition of physical and virtual resources
among multiple logical networks, possibly managed by different tenants. In such a scenario …
among multiple logical networks, possibly managed by different tenants. In such a scenario …
How to attack and defend nextg radio access network slicing with reinforcement learning
In this paper, reinforcement learning (RL) for network slicing is considered in next
generation (NextG) radio access networks, where the base station (gNodeB) allocates …
generation (NextG) radio access networks, where the base station (gNodeB) allocates …
[PDF][PDF] Modified deep reinforcement learning agent for dynamic resource placement in IoT network slicing
Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …
heterogeneous services based on different requirements by placing dynamic virtual network …
Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning
This paper studies how to launch an attack on reinforcement learning for network slicing in
NextG radio access network (RAN). An adversarial machine learning approach is pursued to …
NextG radio access network (RAN). An adversarial machine learning approach is pursued to …
[HTML][HTML] Augmented Lagrangian-Based Reinforcement Learning for Network Slicing in IIoT
Q Qi, W Lin, B Guo, J Chen, C Deng, G Lin, X Sun… - Electronics, 2022 - mdpi.com
Network slicing enables the multiplexing of independent logical networks on the same
physical network infrastructure to provide different network services for different applications …
physical network infrastructure to provide different network services for different applications …
Action Elimination-assisted Deep Reinforcement Learning for B5G Cell Selection and Network Slicing
With the emergence of 5G era, network slicing has received much attention due to its ability
to support various services. Network slicing is an approach to partition a single physical …
to support various services. Network slicing is an approach to partition a single physical …
Machine Learning and 5G Charging Function with Network Analytics Function for Network Slice as a Service
M Bhavsar, P Deshmukh… - 2022 4th International …, 2022 - ieeexplore.ieee.org
5g system is more customer centric which give very high throughput, low latency, highly
scalable, customer industry driven technology. 5G system has charging function which …
scalable, customer industry driven technology. 5G system has charging function which …