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20092023
most citedEfficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

1.2k citations · 7.3k across the 281 of their papers we have counts for

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27 papers · 1 filter

eess.SP2023★ 2 cited

Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference

Tilahun M. Getu, Walid Saad, Georges Kaddoum +1

Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission -- minimizing power usage, bandwid…

eess.SP2022★ 7 cited

Goal-Oriented Communications for the IoT and Application to Data Compression

Chao Zhang, Hang Zou, Samson Lasaulce +3

Internet of Things (IoT) devices will play an important role in emerging applications, since their sensing, actuation, processing, and wireless communication capabilities stimulate…

eess.SP2022★ 2 cited

Downlink Interference Analysis of UAV-based mmWave Fronthaul for Small Cell Networks

Mohammad Taghi Dabiri, Mazen Hasna, Walid Saad

In this paper, an unmanned aerial vehicles (UAV)-based heterogeneous network is studied to solve the problem of transferring massive traffic of distributed small cells to the core…

eess.SP2022★ 1 cited

Positioning Using Visible Light Communications: A Perspective Arcs Approach

Zhiyu Zhu, Caili Guo, Rongzhen Bao +3

Visible light positioning (VLP) is an accurate indoor positioning technology that uses luminaires as transmitters. In particular, circular luminaires are a common source type for V…

eess.SP2021

Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)

Tengchan Zeng, Omid Semiari, Walid Saad +1

To meet the growing mobility needs in intra-city transportation, the concept of urban air mobility (UAM) has been proposed in which vertical takeoff and landing (VTOL) aircraft are…

eess.SP2021★ 1 cited

Spatio-temporal Modeling for Large-scale Vehicular Networks Using Graph Convolutional Networks

Juntong Liu, Yong Xiao, Yingyu Li +3

The effective deployment of connected vehicular networks is contingent upon maintaining a desired performance across spatial and temporal domains. In this paper, a graph-based fram…