14 citations · 17 across the 18 of their papers we have counts for
5 papers · 1 filter
Communication-Efficient Federated Learning via Regularized Sparse Random Networks
Mohamad Mestoukirdi, Omid Esrafilian, David Gesbert +2
This work presents a new method for enhancing communication efficiency in stochastic Federated Learning that trains over-parameterized random networks. In this setting, a binary ma…
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
Jichao Chen, Omid Esrafilian, Harald Bayerlein +2
Deploying teams of unmanned aerial vehicles (UAVs) to harvest data from distributed Internet of Things (IoT) devices requires efficient trajectory planning and coordination algorit…
UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks
Omid Esrafilian, Rajeev Gangula, David Gesbert
In this paper, we investigate the problem of UAV-aided user localization in wireless networks. Unlike the existing works, we do not assume perfect knowledge of the UAV location, he…
Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface
Rakesh Mundlamuri, Omid Esrafilian, Rajeev Gangula +5
In this work, we propose an UAV-aided Integrated Access and Backhaul (IAB) system design offering 5G connectivity to ground users. UAV is integrated with a distributed unit (DU) ac…
Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee
Mohammadsaleh Nikooroo, Zdenek Becvar, Omid Esrafilian +1
In mobile networks, unmanned aerial vehicles (UAVs) acting as flying base stations (FlyBSs) can effectively improve performance. Nevertheless, such potential improvement requires a…