Digital twin of wireless systems: Overview, taxonomy, challenges, and opportunities

LU Khan, Z Han, W Saad, E Hossain… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Future wireless services will focus on improving the quality of life by enabling various
applications, such as extended reality, brain-computer interaction, and healthcare. These …

Interference management issues for the future 5G network: a review

F Qamar, MHDN Hindia, K Dimyati, KA Noordin… - Telecommunication …, 2019 - Springer
Abstract The future wireless Fifth Generation (5G) communication network required a higher
bandwidth in order to achieve greater data rate. It will be largely characterized by small cell …

Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT

H Liao, Z Zhou, X Zhao, L Zhang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …

Computation resource allocation and task assignment optimization in vehicular fog computing: A contract-matching approach

Z Zhou, P Liu, J Feng, Y Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has emerged as a promising solution to relieve the overload
on the base station and reduce the processing delay during the peak time. The computation …

When mobile crowd sensing meets UAV: Energy-efficient task assignment and route planning

Z Zhou, J Feng, B Gu, B Ai, S Mumtaz… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
With the increasing popularity of unmanned aerial vehicles (UAVs), it is foreseen that they
will play an important role in broadening the horizon of mobile crowd sensing (MCS) …

Ultra-dense LEO: Integrating terrestrial-satellite networks into 5G and beyond for data offloading

B Di, H Zhang, L Song, Y Li… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we propose a terrestrial-satellite network (TSN) architecture to integrate the
ultra-dense low earth orbit (LEO) networks and the terrestrial networks to achieve efficient …

Dynamic task offloading and resource allocation for mobile-edge computing in dense cloud RAN

Q Zhang, L Gui, F Hou, J Chen, S Zhu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the unprecedented development of smart mobile devices (SMDs), eg, Internet-of-
Things devices and smartphones, various computation-intensive applications are …

Energy-efficient edge computing service provisioning for vehicular networks: A consensus ADMM approach

Z Zhou, J Feng, Z Chang, X Shen - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In vehicular networks, in-vehicle user equipment (UE) with limited battery capacity can
achieve opportunistic energy saving by offloading energy-hungry workloads to vehicular …

Learning-based URLLC-aware task offloading for internet of health things

Z Zhou, Z Wang, H Yu, H Liao, S Mumtaz… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
In the Internet of Health Things (IoHT)-based e-Health paradigm, a large number of
computational-intensive tasks have to be offloaded from resource-limited IoHT devices to …

Green resource allocation based on deep reinforcement learning in content-centric IoT

X He, K Wang, H Huang, T Miyazaki… - … on Emerging Topics …, 2018 - ieeexplore.ieee.org
In the era of information, the green services of content-centric IoT are expected to offer users
the better satisfaction of Quality of Experience (QoE) than that in a conventional IoT …