Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

Resource management for transmit power minimization in UAV-assisted RIS HetNets supported by dual connectivity

A Khalili, EM Monfared, S Zargari… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This paper proposes a novel approach to improve the performance of a heterogeneous
network (HetNet) supported by dual connectivity (DC) by adopting multiple unmanned aerial …

Energy-aware task offloading and resource allocation for time-sensitive services in mobile edge computing systems

M Zhao, JJ Yu, WT Li, D Liu, S Yao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising architecture to reduce the energy
consumption of mobile devices and provide satisfactory quality-of-service to time-sensitive …

Computation offloading in multi-access edge computing: A multi-task learning approach

B Yang, X Cao, J Bassey, X Li… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has already shown great potential in enabling mobile
devices to bear the computation-intensive applications by offloading some computing jobs to …

Joint optimal software caching, computation offloading and communications resource allocation for mobile edge computing

W Wen, Y Cui, TQS Quek, FC Zheng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
As software may be used by multiple users, caching popular software at the wireless edge
has been considered to save computation and communications resources for mobile edge …

Energy-efficient cooperative resource allocation and task scheduling for Internet of Things environments

E Al-Masri, A Souri, H Mohamed, W Yang, J Olmsted… - Internet of Things, 2023 - Elsevier
Abstract Offloading Internet of Things (IoT) tasks to the cloud for further processing might not
always lead to an optimal execution time, particularly in situations such as resource …

A comprehensive survey on Software as a Service (SaaS) transformation for the automotive systems

DF Blanco, F Le Mouël, T Lin, MP Escudié - IEEE Access, 2023 - ieeexplore.ieee.org
Over the last few decades, automotive embedded Information and Communication
Technology (ICT) systems have been used to enhance vehicle performance and enrich …

Multiobjective optimized cloudlet deployment and task offloading for mobile-edge computing

X Zhu, MC Zhou - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Mobile-edge computing provides an effective approach to reducing the workload of smart
devices and the network delay induced by data transfer through deploying computational …

Joint user association and resource allocation in the uplink of heterogeneous networks

A Khalili, S Akhlaghi, H Tabassum… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
This letter considers the problem of joint user association (UA), carrier allocation, antenna
selection (AS), and power control in the uplink (UL) of a heterogeneous network such that …

Resource allocation for cellular V2X networks mode-3 with underlay approach in LTE-V standard

R Aslani, E Saberinia, M Rasti - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a system model for cellular vehicle-to-everything (C-V2X)
networks mode-3, with two user groups: cellular users and vehicular users. Cellular users …