Massive MIMO Channel-aware Decision Fusion Aided by Reconfigurable Intelligent Surfaces

This paper investigates channel-aware decision fusion empowered by massive MIMO systems and reconfigurable intelligent surfaces (RIS). By integrating both, we aim to improve goal-oriented (fusion) performance despite the unique propagation challenges introduced. Specifically, we investigate traditional favorable propagation properties in the context of RIS-aided Massive MIMO decision fusion. The above analysis is then leveraged (i) to design three sub-optimal simple fusion rules suited for the large-array regime and (ii) to devise an optimization criterion for RIS reflection coefficients based on long-term channel statistics. Simulation results confirm the appeal of the presented design.

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Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10887713
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73

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article

Massive MIMO Channel-aware Decision Fusion Aided by Reconfigurable Intelligent Surfaces

Linlong Wu, Alessio Zappone, Domenico Ciuonzo, Marco Di Renzo
1 citations
Advanced Wireless Communication Technologies
0.73
article

Massive MIMO Channel-aware Decision Fusion Aided by Reconfigurable Intelligent Surfaces

Linlong Wu, Alessio Zappone, Domenico Ciuonzo, Marco Di Renzo
article en
1 citations

Abstract

This paper investigates channel-aware decision fusion empowered by massive MIMO systems and reconfigurable intelligent surfaces (RIS). By integrating both, we aim to improve goal-oriented (fusion) performance despite the unique propagation challenges introduced. Specifically, we investigate traditional favorable propagation properties in the context of RIS-aided Massive MIMO decision fusion. The above analysis is then leveraged (i) to design three sub-optimal simple fusion rules suited for the large-array regime and (ii) to devise an optimization criterion for RIS reflection coefficients based on long-term channel statistics. Simulation results confirm the appeal of the presented design.

Centre National de la Recherche Scientifique (FR), University of Luxembourg (LU), Università degli studi di Cassino e del Lazio Meridionale (IT), Laboratoire des signaux et systèmes (FR), University of Naples Federico II (IT)
European Commission, CHIST-ERA
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Advanced Wireless Communication Technologies
0.73
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Massive MIMO Channel-aware Decision Fusion Aided by Reconfigurable Intelligent Surfaces — Linlong Wu, Alessio Zappone, et al. · (2025) | TGRS Research Map | TGRS