We study channel-aware binary-decision fusion over a shared flat-fading channel with multiple antennas at the Fusion Center (FC). This paper considers the aid of a Reconfigurable Intelligent Surface (RIS) to effectively convey the information of the phenomenon of interest to the FC and foster energy-efficient data analytics supporting the Internet of Things (IoT) paradigm. We present the optimal rule and derive a (sub-optimal) joint fusion rule & RIS design, representing an alternative with reduced complexity and lower system knowledge required. Simulation results for performance are presented showing the benefit of RIS adoption even in a suboptimal case.

Wireless Inference Gets Smarter: RIS-assisted Channel-Aware MIMO Decision Fusion / Mudkey, N.; Ciuonzo, D.; Zappone, A.; Rossi, P. S.. - 2022-:(2022), pp. 26-30. (Intervento presentato al convegno 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 tenutosi a nor nel 2022) [10.1109/SAM53842.2022.9827887].

Wireless Inference Gets Smarter: RIS-assisted Channel-Aware MIMO Decision Fusion

Ciuonzo D.;
2022

Abstract

We study channel-aware binary-decision fusion over a shared flat-fading channel with multiple antennas at the Fusion Center (FC). This paper considers the aid of a Reconfigurable Intelligent Surface (RIS) to effectively convey the information of the phenomenon of interest to the FC and foster energy-efficient data analytics supporting the Internet of Things (IoT) paradigm. We present the optimal rule and derive a (sub-optimal) joint fusion rule & RIS design, representing an alternative with reduced complexity and lower system knowledge required. Simulation results for performance are presented showing the benefit of RIS adoption even in a suboptimal case.
2022
978-1-6654-0633-8
Wireless Inference Gets Smarter: RIS-assisted Channel-Aware MIMO Decision Fusion / Mudkey, N.; Ciuonzo, D.; Zappone, A.; Rossi, P. S.. - 2022-:(2022), pp. 26-30. (Intervento presentato al convegno 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 tenutosi a nor nel 2022) [10.1109/SAM53842.2022.9827887].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/904838
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