Big data resource management & networks: Taxonomy, survey, and future directions
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …
broader computer network and communication community. For several years, dedicated …
Machine learning aided air traffic flow analysis based on aviation big data
Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft …
Energy-efficient federated edge learning with joint communication and computation design
This paper studies a federated edge learning system, in which an edge server coordinates a
set of edge devices to train a shared machine learning (ML) model based on their locally …
set of edge devices to train a shared machine learning (ML) model based on their locally …
Blockchain empowered cooperative authentication with data traceability in vehicular edge computing
The dynamic environment due to traffic mobility and wireless communication from/to
vehicles make identity authentication and trust management for privacy preservation based …
vehicles make identity authentication and trust management for privacy preservation based …
Zero touch management: A survey of network automation solutions for 5G and 6G networks
E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …
originating from novel mobile applications and services and, in general, from the adoption …
Non-orthogonal multiple access assisted secure computation offloading via cooperative jamming
In this paper, we investigate non-orthogonal multiple access (NOMA) assisted secure
computation offloading under the eavesdropping-attack, in which a malicious node …
computation offloading under the eavesdropping-attack, in which a malicious node …
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 …
Sustainable task offloading in UAV networks via multi-agent reinforcement learning
The recent growth of IoT devices, along with edge computing, has revealed many
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
opportunities for novel applications. Among them, Unmanned Aerial Vehicles (UAVs), which …
Machine learning threatens 5G security
J Suomalainen, A Juhola, S Shahabuddin… - IEEE …, 2020 - ieeexplore.ieee.org
Machine learning (ML) is expected to solve many challenges in the fifth generation (5G) of
mobile networks. However, ML will also open the network to several serious cybersecurity …
mobile networks. However, ML will also open the network to several serious cybersecurity …
CodedPrivateML: A fast and privacy-preserving framework for distributed machine learning
How to train a machine learning model while keeping the data private and secure? We
present CodedPrivateML, a fast and scalable approach to this critical problem …
present CodedPrivateML, a fast and scalable approach to this critical problem …