Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems

B Brik, A Ksentini, M Bouaziz - IEEE Access, 2020 - ieeexplore.ieee.org
The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as
key enablers of new applications, including: surveillance and monitoring, military, delivery of …

Maritime search and rescue based on group mobile computing for unmanned aerial vehicles and unmanned surface vehicles

T Yang, Z Jiang, R Sun, N Cheng… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Accidents often occur at sea, so effective maritime search and rescue is essential. In the
current process of sea search and rescue, the operation efficiency of large search and …

Trust-aware location recommendation in location-based social networks: A graph-based approach

D Canturk, P Karagoz, SW Kim, IH Toroslu - Expert Systems with …, 2023 - Elsevier
With the increase in the use of mobile devices having location-related capabilities, the use of
Location-Based Social Networks (LBSN) has also increased, allowing users to share …

Content placement considering the temporal and spatial attributes of content popularity in cache-enabled uav networks

E Wang, Q Dong, Y Li, Y Zhang - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can provide low-cost connectivity to wireless devices in
areas with no infrastructure coverage. In particular, the cache-enabled UAV network can …

Liquid state machine learning for resource allocation in a network of cache-enabled LTE-U UAVs

M Chen, W Saad, C Yin - GLOBECOM 2017-2017 IEEE Global …, 2017 - ieeexplore.ieee.org
In this paper, the problem of joint caching and resource allocation is investigated for a
network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground …

Multi-UAV network assisted intelligent edge computing: Challenges and opportunities

Z Liu, Y Cao, P Gao, X Hua, D Zhang… - China …, 2022 - ieeexplore.ieee.org
Introducing multi-UAV network with flexible deployment into mobile edge computing (MEC)
can effectively improve the quality of service of Internet-of-Things services, reduce the …

Opportunistic uav deployment for intelligent on-demand iov service management

H Sami, R Saado, A El Saoudi… - … on Network and …, 2023 - ieeexplore.ieee.org
Due to the current improvement in self-driving cars and the extensive focus and research on
the topic of the Internet of Vehicles (IoV), the near future may behold a great revolution in the …

Mobility management for cellular-connected UAVs: A learning-based approach

MMU Chowdhury, W Saad… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
The pervasiveness of the wireless cellular network can be a key enabler for the deployment
of autonomous unmanned aerial vehicles (UAVs) in beyond visual line of sight scenarios …

HCP: Heterogeneous computing platform for federated learning based collaborative content caching towards 6G networks

ZM Fadlullah, N Kato - IEEE Transactions on Emerging Topics …, 2020 - ieeexplore.ieee.org
A heterogeneous computing architecture is essential to facilitate intelligent network traffic
control for a joint computation, communication, and collaborative caching optimization in 6G …

S-aframe: agent-based multilayer framework with context-aware semantic service for vehicular social networks

X Hu, J Zhao, BC Seet, VCM Leung… - … on Emerging Topics …, 2015 - ieeexplore.ieee.org
This paper presents S-Aframe, an agent-based multilayer framework with context-aware
semantic service (CSS) to support the development and deployment of context-aware …