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20072023
most citedA Coordinated Approach to Channel Estimation in Large-scale Multiple-antenna Systems

1.2k citations · 3k across the 100 of their papers we have counts for

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cs.IT2023★ 4 cited

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…

cs.IT2023

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…

cs.IT2023★ 2 cited

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…

cs.IT2023

A Novel Metric for mMIMO Base Station Association for Aerial Highway Systems

Matteo Bernabè, David López Pérez, Nicola Piovesan +2

In this article, we introduce a new metric for driving the serving cell selection process of a swarm of cellular connected unmanned aerial vehicles (CCUAVs) located on aerial highw…

cs.IT2022★ 12 cited

Team Precoding Towards Scalable Cell-free Massive MIMO Networks

Lorenzo Miretti, Emil Björnson, David Gesbert

In a recent work, we studied a novel precoding design for cell-free networks called team minimum mean-square error (TMMSE) precoding, which rigorously generalizes centralized MMSE…

cs.IT2022

UAV-Aided Multi-Community Federated Learning

Mohamad Mestoukirdi, Omid Esrafilian, David Gesbert +1

In this work, we investigate the problem of an online trajectory design for an Unmanned Aerial Vehicle (UAV) in a Federated Learning (FL) setting where several different communitie…