Recent advances of resource allocation in network function virtualization

S Yang, F Li, S Trajanovski… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) has been emerging as an appealing solution that
transforms complex network functions from dedicated hardware implementations to software …

Modeling and analysis of energy harvesting and smart grid-powered wireless communication networks: A contemporary survey

S Hu, X Chen, W Ni, X Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The advancements in smart power grid and the advocation of “green communications” have
inspired the wireless communication networks to harness energy from ambient …

Learning and management for Internet of Things: Accounting for adaptivity and scalability

T Chen, S Barbarossa, X Wang… - Proceedings of the …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) envisions an intelligent infrastructure of networked smart devices
offering task-specific monitoring and control services. The unique features of IoT include …

A dynamic reliability-aware service placement for network function virtualization (NFV)

M Karimzadeh-Farshbafan… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Network softwarization is one of the major paradigm shifts in the next generation of
networks. It enables programmable and flexible management and deployment of the …

Two time-scale caching placement and user association in dynamic cellular networks

T Zhang, Y Wang, W Yi, Y Liu, C Feng… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With the rapid growth of data traffic in cellular networks, edge caching has become an
emerging technology for traffic offloading. We investigate the caching placement and content …

Online service provisioning in NFV-enabled networks using deep reinforcement learning

A Nouruzi, A Zakeri, MR Javan, N Mokari… - … on Network and …, 2022 - ieeexplore.ieee.org
In this paper, we study a Deep Reinforcement Learning (DRL) based framework for an
online end-user service provisioning in a Network Function Virtualization (NFV)-enabled …

Augmented deep reinforcement learning for online energy minimization of wireless powered mobile edge computing

X Chen, W Dai, W Ni, X Wang, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) offers an opportunity for devices relying on wireless power
transfer (WPT), to accomplish computationally demanding tasks. Such WPT-powered MEC …

Distributed online optimization of edge computing with mixed power supply of renewable energy and smart grid

X Chen, H Wen, W Ni, S Zhang, X Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge infrastructures, including edge computing servers, are increasingly powered by
renewable energy and smart grid combined. Two-way energy trading allows the surplus or …

Virtual service placement for edge computing under finite memory and bandwidth

S He, X Lyu, W Ni, H Tian, RP Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Edge computing allows an edge server to adaptively place virtual instances to serve
different types of data. This article presents a new algorithm which jointly optimizes virtual …

A multi-layer multi-timescale network utility maximization framework for the SDN-based LayBack architecture enabling wireless backhaul resource sharing

M Wang, N Karakoc, L Ferrari, P Shantharama… - Electronics, 2019 - mdpi.com
With the emergence of small cell networks and fifth-generation (5G) wireless networks, the
backhaul becomes increasingly complex. This study addresses the problem of how a central …