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Sami Muhaidat

7 papers hereh-index 215 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.CV1
  • cs.NI1
  • eess.SP1
same name
  • Sami Muhaidat — 14 papers, h 5
  • Sami Muhaidat — 7 papers, h 9
  • Sami Muhaidat — 2 papers, h 1
  • Sami Muhaidat — 1 paper
  • Sami Muhaidat — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedBridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2025

DeepTelecom: A Digital-Twin Deep Learning Dataset for Channel and MIMO Applications

Bohao Wang, Zehua Jiang, Zhenyu Yang +9

Domain-specific datasets are the foundation for unleashing artificial intelligence (AI)-driven wireless innovation. Yet existing wireless AI corpora are slow to produce, offer limi…

cs.IT2025

Dynamical Multimodal Fusion with Mixture-of-Experts for Localizations

Bohao Wang, Zitao Shuai, Fenghao Zhu +6

Multimodal fingerprinting is a crucial technique to sub-meter 6G integrated sensing and communications (ISAC) localization, but two hurdles block deployment: (i) the contribution e…

cs.IT2025★ 1 cited

Bridging Physical and Digital Worlds: Embodied Large AI for Future Wireless Systems

Xinquan Wang, Fenghao Zhu, Zhaohui Yang +5

Large artificial intelligence (AI) models offer revolutionary potential for future wireless systems, promising unprecedented capabilities in network optimization and performance. H…

cs.IT2025

Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Fenghao Zhu, Xinquan Wang, Siming Jiang +22

The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligenc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.