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Other literature type . 2026
License: CC BY
Data sources: ZENODO
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Project deliverable . 2026
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2026
License: CC BY
Data sources: Datacite
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D3.1 - MultiX perception system enablers v1: Focus on perception enablers design including AI and multi-technology, multi-static perception

Authors: Pegoraro, Jacopo; Cui, Zhuangzhuang; Lacruz, Jesus Omar; Rosales, Rafael; Heggo, Mohammad; Robitzsch, Sebastian; Bhatia, Laksh; +8 Authors

D3.1 - MultiX perception system enablers v1: Focus on perception enablers design including AI and multi-technology, multi-static perception

Abstract

This deliverable introduces the initial version of the MultiX Perception System (MPS), a key enabler for Integrated Sensing and Communications (ISAC) within heterogeneous Radio Access Network (RAN) environments. The MPS integrates sensing capabilities across diverse technologies—including 3rd Generation PartnershipProject (3GPP) components (RU, DU, CU), User Equipment, and non-cellular systems such as Wi-Fi—to form a unified, scalable perception framework. Central to the architecture is the Measurement Sensing Processing Function (m-SePF), which collects, processes, and fuses sensing data to provide accurate, robust perceptionservices.

Keywords

multi-static, waveforms, integrated sensing and communications, channel models, multi-technology, multi-band, MultiX perception systems, energy-efficient AI, event-based processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green