Multimodal deep learning-empowered beam prediction in future THz ISAC systems

^*Corresponding author for this work

Research output: Contribution to conference › Conference Paper › peer-review

Original language	English
Publication status	Published - Sept 2025
Event	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Duration: 1 Sept 2025 → 1 Sept 2025

Conference	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Period	1/09/25 → 1/09/25

Cite this

@conference{706b7a3e7f9c40f99e280e2ffd726344,

title = "Multimodal deep learning-empowered beam prediction in future THz ISAC systems",

author = "Kai ZHANG and Wentao YU and Hengtao HE and Shenghui SONG and Jun ZHANG and \{BEN LETAIEF\}, Khaled",

year = "2025",

month = sep,

language = "English",

note = "IEEE International Symposium on Personal, Indoor and Mobile Radio Communications ; Conference date: 01-09-2025 Through 01-09-2025",

}

TY - CONF

T1 - Multimodal deep learning-empowered beam prediction in future THz ISAC systems

AU - ZHANG, Kai

AU - YU, Wentao

AU - HE, Hengtao

AU - SONG, Shenghui

AU - ZHANG, Jun

AU - BEN LETAIEF, Khaled

PY - 2025/9

Y1 - 2025/9

M3 - Conference Paper

T2 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

Y2 - 1 September 2025 through 1 September 2025

ER -