Networking and communications in autonomous driving: A survey
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …
Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …
Smart resource allocation for mobile edge computing: A deep reinforcement learning approach
The development of mobile devices with improving communication and perceptual
capabilities has brought about a proliferation of numerous complex and computation …
capabilities has brought about a proliferation of numerous complex and computation …
Partial offloading scheduling and power allocation for mobile edge computing systems
Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …
the edge of mobile networks. The joint problem of partial offloading decision, offloading …
A survey on mobile edge computing infrastructure: Design, resource management, and optimization approaches
LA Haibeh, MCE Yagoub, A Jarray - IEEE Access, 2022 - ieeexplore.ieee.org
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
NOMA-assisted multi-access mobile edge computing: A joint optimization of computation offloading and time allocation
Multi-access mobile edge computing (MEC), which enables mobile users (MUs) to offload
their computation-workloads to the computation-servers located at the edge of cellular …
their computation-workloads to the computation-servers located at the edge of cellular …
Survey on placement methods in the edge and beyond
Edge computing is a (r) evolutionary extension of traditional cloud computing. It expands
central cloud infrastructure with execution environments close to the users in terms of …
central cloud infrastructure with execution environments close to the users in terms of …
Classification of optimization problems in fog computing
J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …
network edge to offer computational offloading possibilities to end devices, featuring low …
Demand-driven deep reinforcement learning for scalable fog and service placement
The increasing number of Internet of Things (IoT) devices necessitates the need for a more
substantial fog computing infrastructure to support the users' demand for services. In this …
substantial fog computing infrastructure to support the users' demand for services. In this …