Personne

Haitham Al Hassanieh

Source officielle

https://people.epfl.ch/haitham.alhassanieh?lang=fr

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Source officielle

https://people.epfl.ch/haitham.alhassanieh?lang=fr

À propos de ce résultat

Unités associées (1)

Laboratoire de systèmes de détection et réseau

Cours enseignés par cette personne (2)

COM-405: Mobile networks

This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging.

COM-304: Communications project

The course teaches the development of systems that solve real-world challenges in communications, signal processing, AI, and robotics. Students will work in teams, construct their ideas, and either pr

Publications associées (12)

Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.

Towards URLLC with Open-Source 5G Software

Dan Mihai Dumitriu, Haitham Al Hassanieh

Ultra-Reliable Low-Latency Communication is a key feature of 5G, yet achieving its strict one-way latency target remains challenging in real-world deployments. While previous work proposes latency reduction techniques, most are theoretical or simulation-ba ...

Association for Computing Machinery2025

Heartbeat Aware Decoding in Molecular Networks

Haitham Al Hassanieh

Molecular communication (MC) is a competitive candidate of implementing the long-lasting in-body communication for the body-area medical network, considering its unparalleled advantages over conventional wireless communication in bio-compatibility. Blood v ...

Institute of Electrical and Electronics Engineers Inc.2025

Around the Corner mmWave Imaging in Practical Environments

Haitham Al Hassanieh, Junfeng Guan

We present the design, implementation, and evaluation of RFlect, a mmWave imaging system capable of producing around-the-corner high-resolution images in practical environments. RFlect leverages signals reflected off complex surfaces (e.g., poles, concave ...

Association for Computing Machinery2024

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