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TAG: Sensing
Aug
2023
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2023
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2022
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Nov
2022
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A “Physical Layer Machine Learning Applications Want To See”?
Rob Calderbank of Duke University is one of those unusual academics to have spent a long time in commercial telecoms environments. Today, while he is leading Duke’s interdisciplinary work on big data, he has also recently published work on something he calls pulsones, which may contribute to a more efficient future air interface. 6GWorld caught up with him to find out more about this, and why a big data professor is worrying about radio.
Nov
2022
14
Nov
2022
7
Positioning and Sensing in 6G: Gaps, Challenges, and Opportunities – Arxiv
This paper presents a unified vision from stakeholders across the value chain in terms of both opportunities
and challenges for 6G positioning and sensing, as well as use cases, performance requirements, and gap analysis.
Sep
2022
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2022
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Jun
2022
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