Recent advances of resource allocation in network function virtualization
Network Function Virtualization (NFV) has been emerging as an appealing solution that
transforms complex network functions from dedicated hardware implementations to software …
transforms complex network functions from dedicated hardware implementations to software …
A survey on the placement of virtual network functions
The dependence of traditional network functions (NFs) on special hardware results in high
capital expenditures (CAPEX) and operating expenditures (OPEX). Network Function …
capital expenditures (CAPEX) and operating expenditures (OPEX). Network Function …
Dynamic RAN slicing for service-oriented vehicular networks via constrained learning
In this paper, we investigate a radio access network (RAN) slicing problem for Internet of
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
vehicles (IoV) services with different quality of service (QoS) requirements, in which multiple …
Joint coordinated beamforming and power splitting ratio optimization in MU-MISO SWIPT-enabled HetNets: A multi-agent DDQN-based approach
This paper proposes a multi-agent double deep Q network (DDQN)-based approach to
jointly optimize the beamforming vectors and power splitting (PS) ratio in multi-user multiple …
jointly optimize the beamforming vectors and power splitting (PS) ratio in multi-user multiple …
Microservice-oriented service placement for mobile edge computing in sustainable internet of vehicles
The integration of Mobile Edge Computing (MEC) and microservice architecture drives the
implementation of the sustainable Internet of Vehicles (IoV). The microservice architecture …
implementation of the sustainable Internet of Vehicles (IoV). The microservice architecture …
Dynamic fog-to-fog offloading in SDN-based fog computing systems
Fog computing is a promising paradigm aimed at reducing latency and network traffic
between end devices and cloud servers. In fog computing systems, a fog node can be …
between end devices and cloud servers. In fog computing systems, a fog node can be …
On the specialization of fdrl agents for scalable and distributed 6g ran slicing orchestration
Network slicing enables multiple virtual networks to be instantiated and customized to meet
heterogeneous use case requirements over 5G and beyond network deployments …
heterogeneous use case requirements over 5G and beyond network deployments …
Dynamic service function chain orchestration for NFV/MEC-enabled IoT networks: A deep reinforcement learning approach
Y Liu, H Lu, X Li, Y Zhang, L Xi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) and mobile-edge computing (MEC) have been
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
EdgeGYM: a reinforcement learning environment for constraint-aware NFV resource allocation
Optimizing resource allocation in Network Functions Virtualization (NFV) deployment
remains a challenging problem due to the complex interactions between network functions …
remains a challenging problem due to the complex interactions between network functions …
Scalable orchestration of service function chains in NFV-enabled networks: A federated reinforcement learning approach
Network function virtualization (NFV) is critical to the scalability and flexibility of various
network services in the form of service function chains (SFCs), which refer to a set of Virtual …
network services in the form of service function chains (SFCs), which refer to a set of Virtual …