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20062026
most citedEfficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

1.2k citations · 16.4k across the 357 of their papers we have counts for

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Showing 2018 · eess.SPShow all

5 papers · 2 filters

eess.SP2018★ 47 cited

Wireless Communications and Control for Swarms of Cellular-Connected UAVs

Tengchan Zeng, Mohammad Mozaffari, Omid Semiari +3

By using wireless connectivity through cellular base stations (BSs), swarms of unmanned aerial vehicles (UAVs) can provide a plethora of services ranging from delivery of goods to…

eess.SP2018

Deep Learning Power Allocation in Massive MIMO

Luca Sanguinetti, Alessio Zappone, Merouane Debbah

This work advocates the use of deep learning to perform max-min and max-prod power allocation in the downlink of Massive MIMO networks. More precisely, a deep neural network is tra…

eess.SP2018

Decentralizing Multicell Beamforming via Deterministic Equivalents

Hossein Asgharimoghaddam, Antti Tölli, Luca Sanguinetti +1

This paper focuses on developing a decentralized framework for coordinated minimum power beamforming wherein base stations (BSs), each equipped with antennas, serve sin…

eess.SP2018★ 19 cited

Machine Learning for Predictive On-Demand Deployment of UAVs for Wireless Communications

Qianqian Zhang, Mohammad Mozaffari, Walid Saad +2

In this paper, a novel machine learning (ML) framework is proposed for enabling a predictive, efficient deployment of unmanned aerial vehicles (UAVs), acting as aerial base station…

eess.SP2018

Integrated Millimeter Wave and Sub-6 GHz Wireless Networks: A Roadmap for Joint Mobile Broadband and Ultra-Reliable Low-Latency Communications

Omid Semiari, Walid Saad, Mehdi Bennis +1

Next-generation wireless networks must enable emerging technologies such as augmented reality and connected autonomous vehicles via wide range of wireless services that span enhanc…