Energy-aware computation management strategy for smart logistic system with MEC
As the most important part of a smart city and long-standing challenging issue, a highly
efficient smart logistic system has attracted a great deal of attention in recent years. In …
efficient smart logistic system has attracted a great deal of attention in recent years. In …
Communication and computing resource optimization for connected autonomous driving
Transportation system is facing a sharp disruption since the Connected Autonomous
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Vehicles (CAVs) can free people from driving and provide good driving experience with the …
Two-stage computing offloading algorithm in cloud-edge collaborative scenarios based on game theory
F Xu, Y Xie, Y Sun, Z Qin, G Li, Z Zhang - Computers & Electrical …, 2022 - Elsevier
Abstract Mobile Edge Computing (MEC) enables smart mobile devices to handle
computationally intensive tasks with limited resources. By offloading tasks to the edge of the …
computationally intensive tasks with limited resources. By offloading tasks to the edge of the …
Performance optimization for blockchain-enabled distributed network function virtualization management and orchestration
Distributed network function virtualization management and orchestration (NFV-MANO)
offers a flexible way to manage and orchestrate diversified network services in large-scale …
offers a flexible way to manage and orchestrate diversified network services in large-scale …
Auction mechanism for dynamic bandwidth allocation in multi-tenant edge computing
Inspired by the shared infrastructure of colocation data centers and the growth of Mobile
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Edge Computing (MEC), colocation MEC businesses have thrived to offer an economical …
Latency optimization for cellular assisted mobile edge computing via non-orthogonal multiple access
In this article, we investigate the cellular assisted mobile edge computing (MEC) via non-
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
Joint access and resource allocation in ultradense mmWave NOMA networks with mobile edge computing
N Nouri, J Abouei, M Jaseemuddin… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
This article considers a two-tier heterogeneous network consisting of conventional sub-6-
GHz macrocells along with millimeter-wave (mmWave) small cells, where mobile devices …
GHz macrocells along with millimeter-wave (mmWave) small cells, where mobile devices …
Deep learning empowered traffic offloading in intelligent software defined cellular V2X networks
The ever-increasing and unbalanced traffic load in cellular vehicle-to-everything (C-V2X)
networks have increased the network congestion and led to user dissatisfaction. To relieve …
networks have increased the network congestion and led to user dissatisfaction. To relieve …
Intelligent offloading for NOMA-assisted MEC via dual connectivity
Multiaccess edge computing (MEC), which brings computing capability close to the user
equipment (UE) within a radio access network (RAN), is a promising technique to meet the …
equipment (UE) within a radio access network (RAN), is a promising technique to meet the …
Data integrity monitoring method of digital sensors for Internet-of-Things applications
Data are the cornerstone of digital sensors for Internet-of-Things (IoT) applications, which
have been widely used in various fields from social development to human life. However …
have been widely used in various fields from social development to human life. However …