1. GESBERT David
  2. GESBERT David
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GESBERT David

Conference

Feng, Chenyuan; Gesbert, David

Spatial domain prediction of optimal MIMO beam alignment pairs in D2D networks

GLOBECOM 2024, IEEE Global Communications Conference, 8-12 December 2024, Cape Town, South Africa
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Conference

Esrafilian, Omid; Ahadi, Mohsen; Kaltenberger, Florian; Gesbert, David

Global scale self-supervised channel charting with sensor fusion

GLOBECOM 2024, IEEE Global Communications Conference, 8-12 December 2024, Cape Town, South Africa
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ARXIV
HAL
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Journal

Zheng, Ziyuan; Jing, Wenpeng; Lu, Zhaoming; Wu, Qingqing; Zhang, Haijun; Gesbert, David

Cooperative multi-satellite and multi-RIS beamforming: Enhancing LEO SatCom and mitigating LEO-GEO intersystem interference

IEEE Journal on Selected Areas in Communications, 13 September 2024
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Non peer reviewed journal or magazine

Gesbert, David

La 6G : Promesses et défis à l'horizon 2030

Enjeux numériques, N° 27, Septembre 2024, Quelles infrastructures numériques du futur ?
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Conference

Bernabè, Matteo; Lopez-Perez, David; Piovesan, Nicola; Geraci, Giovanni; Gesbert, David

Optimal SSB beam planning and UAV cell selection for 5G connectivity on aerial highways

Submitted to ArXiV, 3 September 2024
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ARXIV
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Talk

Gesbert, David

Learning for sensing, localization and connectivity in UAV-aided 6G Networks

MeditCom 2024, Keynote at 4th IEEE International Mediterranean Conference on Communications and Networking, 8-11 July 2024, Madrid, Spain
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Journal

Becvar, Zdenek; Plachy, Jan; Mach, Pavel; Nikolov, Anastas; Gesbert, David

Machine learning for channel quality prediction: From concept to experimental validation

IEEE Transactions on Wireless Communications, 28 June 2024
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Journal

Bernabe, Matteo; López-Pèrez, David; Piovesan, Nicola; Geraci, Giovanni; Gesbert, David

Massive MIMO for aerial highways: Enhancing cell selection via SSB beams optimization

IEEE Open Journal of the Communications Society, 24 June 2024
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Journal

Mestoukirdi, Mohamad; Esrafilian, Omid; Gesbert, David; Li, Qianrui; Gresset, Nicolas

Communication-efficient federated learning via regularized sparse random networks

IEEE Communications Letters, 6 May 2024
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ARXIV
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Journal

Ahmad, Ishtiaq; Becvar, Zdenek; Mach, Pavel; Gesbert, David

Coordinated machine learning for energy efficient D2D communication

IEEE Wireless Communications Letters, 14 March 2024
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