1.2k citations · 3k across the 100 of their papers we have counts for
9 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…
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G
Yong Zeng, Junting Chen, Jie Xu +7
Sixth-generation (6G) mobile communication networks are expected to have dense infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified positioning…
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…
Revisiting Matching Pursuit: Beyond Approximate Submodularity
Ehsan Tohidi, Mario Coutino, David Gesbert
We study the problem of selecting a subset of vectors from a large set, to obtain the best signal representation over a family of functions. Although greedy methods have been widel…
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…