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UID:933@lincs.fr
DTSTART;TZID=Europe/Paris:20260326T140000
DTEND;TZID=Europe/Paris:20260326T150000
DTSTAMP:20260330T144315Z
URL:https://www.lincs.fr/events/resource-efficient-nextg-mimo-sensing-and-
 communications-bridging-sparse-arrays-spatial-modulation-and-subspace-code
 s/
SUMMARY:Resource-efficient NextG MIMO Sensing and Communications: Bridging
 Sparse Arrays\, Spatial Modulation and Subspace Codes
DESCRIPTION:This talk explores emerging connections between sensing\,
 modulation and coding through the unifying lens of sparse antenna array
 geometries. We first explore the versatile uses of index modulation via
 antenna selection in integrated communications and sensing (ISAC). We
 demonstrate that judicious antenna subset selection can offer enhanced
 sensing performance\, as well as a balance between spectral and energy
 efficiency by making clever use of multiple antennas per radio-frequency
 (RF) chain. We then show that the canonical sensing problem of
 direction-of-arrival estimation can be naturally interpreted as a so-called
 analog subspace coding problem. Subspace coding conventionally arises in
 non-coherent communications\, where neither transmitter nor receiver knows
 the channel\, and information is encoded in subspaces rather than vectors.
 However\, connections to sensing have remained unexplored. We bridge this
 gap and demonstrate how it fosters new research problems at the
 intersection of coding theory and signal processing\, including a new
 principled approach to noise-robust sparse array design based on optimizing
 subspace distance. Throughout the talk\, we show how sparse array
 geometries are key to enhancing sensing performance\, reducing hardware
 complexity\, and increasing energy efficiency of next-generation
 multiple-input multiple-output systems equipped with far fewer RF chains
 than antennas.\n&nbsp\;\nBio: Robin Rajamäki (Member\, IEEE) received
 his D.Sc. degree in electrical engineering in 2021 from Aalto University\,
 Finland. From 2022-2024\, he was a postdoctoral scholar at the University
 of California San Diego. He is currently an assistant professor at Tampere
 University\, Finland. His research interests lie in the intersection of
 theory and applications of statistical signal processing with a focus on
 multisensor systems in sensing and wireless communications.\n
CATEGORIES:Seminars,Youtube
LOCATION:Amphi 3\, 19 Place Marguerite Perey\, Palaiseau\, France
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 Palaiseau\, France;X-APPLE-RADIUS=100;X-TITLE=Amphi 3:geo:0,0
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TZID:Europe/Paris
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DTSTART:20251026T020000
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