Search Results for author:
Found 9 papers, 1 papers with code
Communication-Efficient Federated Learning via Regularized Sparse Random Networks
In this setting, a binary mask is optimized instead of the model weights, which are kept fixed.
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Deploying teams of unmanned aerial vehicles (UAVs) to harvest data from distributed Internet of Things (IoT) devices requires efficient trajectory planning and coordination algorithms.
Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee
In this paper, we study the problem of sum downlink capacity maximization in FlyBS-assisted networks with mobile users and with a consideration of wireless backhaul with channel reuse while a minimum required capacity to every user is guaranteed.
Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations
To this end, we propose an analytical approach based on an alternating optimization of the FlyBSs' 3D positions as well as the association of the users to the FlyBSs over time.
QoS-Aware Sum Capacity Maximization for Mobile Internet of Things Devices Served by UAVs
The use of unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) is considered as an effective tool to improve performance of the mobile networks.
UAV-Aided Multi-Community Federated Learning
We propose a heuristic metric as a proxy for the training performance of the different tasks.
UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models
With this model and a set of offline RSS measurements, the unknown parameters are estimated.
UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks
The use of unmanned aerial vehicles (UAV) as flying radio access network (RAN) nodes offers a promising complement to traditional fixed terrestrial deployments.
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Deep Reinforcement Learning (DRL) is gaining attention as a potential approach to design trajectories for autonomous unmanned aerial vehicles (UAV) used as flying access points in the context of cellular or Internet of Things (IoT) connectivity.
