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 …
Software-defined UAV networks for 6G systems: Requirements, opportunities, emerging techniques, challenges, and research directions
MDABS Abir, MZ Chowdhury… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for wireless communication has driven the development of
innovative technologies to address the issues that conventional communication networks …
innovative technologies to address the issues that conventional communication networks …
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 …
When moving target defense meets attack prediction in digital twins: A convolutional and hierarchical reinforcement learning approach
With rapid development of emerging technologies for Internet of Things (IoT), digital twins
(DT) have been proposed to support a wide variety of applications. A mobile network is …
(DT) have been proposed to support a wide variety of applications. A mobile network is …
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 …
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 …
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 …
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 …
Optimal resource allocation in sdn/nfv-enabled networks via deep reinforcement learning
Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …