Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
DRL-based computation rate maximization for wireless powered multi-AP edge computing
S Zhang, S Bao, K Chi, K Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the ongoing 5G and upcoming 6G eras, the intelligent Internet of Things (IoT) network will
take increasingly important responsibility for industrial production, daily life and so on. The …
take increasingly important responsibility for industrial production, daily life and so on. The …
TMHD: Twin-Bridge Scheduling of Multi-Heterogeneous Dependent Tasks for Edge Computing
As an efficient computing paradigm, Mobile Edge Computing (MEC) is essential in assisting
mobile devices with real-time complex tasks such as big data analytics. In MEC, application …
mobile devices with real-time complex tasks such as big data analytics. In MEC, application …
DDPG-based aerial secure data collection
As air-to-ground links tend to exhibit a high probability of being line-of-sight (LoS),
unmanned aerial vehicles (UAVs) are widely used to improve the performance of wireless …
unmanned aerial vehicles (UAVs) are widely used to improve the performance of wireless …
Joint latency-oriented, energy consumption, and carbon emission for a space–air–ground integrated network with newly designed power technology
Y Wang, B Li, J He, J Dai, Y Liu, Y Yang - Electronics, 2023 - mdpi.com
Ubiquitous connectivity is envisaged for the space–air–ground-integrated network (SAGIN)
of future communication to meet the needs of quality of service (QoS), green communication …
of future communication to meet the needs of quality of service (QoS), green communication …
A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective
The rapid development of Internet of Things (IoT) technologies has led to increasingly
complex software systems on Terminal Devices (TDs). This increases the computational …
complex software systems on Terminal Devices (TDs). This increases the computational …
Priority-aware path planning and user scheduling for UAV-mounted MEC networks: A deep reinforcement learning approach
X Zheng, Y Wu, L Zhang, M Tang, F Zhu - Physical Communication, 2024 - Elsevier
Owing to the flexibility and controllability, unmanned aerial vehicle (UAV) is frequently
integrated into mobile edge computing (MEC) network to improve the system performance …
integrated into mobile edge computing (MEC) network to improve the system performance …
Non-Orthogonal Multiple Access for Offloading in Multi-Access Edge Computing: A Survey
R Dulout, L Mendiboure, Y Pousset, V Deniau… - IEEE …, 2023 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) architectures now seem to represent the future of data
processing architectures. Indeed, they have the potential to optimize the use of the backhaul …
processing architectures. Indeed, they have the potential to optimize the use of the backhaul …
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …