Industrial IoT (IIoT) scenarios are known to be challenging in terms of propagation conditions and easily subjected to lack of coverage. For this reason, reconfigurable intelligent surfaces (RIS) can be a smart solution to provide a satisfactory service for future artificial intelligence (AI)-based 6G networks. Nevertheless, RIS is a highly complex technology that requires a proper planning, ad-hoc management, and configuration to gain most benefits. Therefore, this paper aims to provide general guidelines to perform RIS planning in various IIoT scenarios. The planning is aimed at satisfying the stringent IIoT requirements in terms of data rate, reliability, and latency while minimizing the path loss. The results demonstrated the efficacy of RIS implementation in IIoT settings to enhance performance, with a mean path loss improvement of over 30 dB.

Tarozzi, A., Vitucci, E.M., Fuschini, F., Verdone, R. (2024). Guidelines for RIS Planning in IIoT Scenarios. Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI61910.2024.10761677].

Guidelines for RIS Planning in IIoT Scenarios

Tarozzi A.
;
Vitucci E. M.;Fuschini F.;Verdone R.
2024

Abstract

Industrial IoT (IIoT) scenarios are known to be challenging in terms of propagation conditions and easily subjected to lack of coverage. For this reason, reconfigurable intelligent surfaces (RIS) can be a smart solution to provide a satisfactory service for future artificial intelligence (AI)-based 6G networks. Nevertheless, RIS is a highly complex technology that requires a proper planning, ad-hoc management, and configuration to gain most benefits. Therefore, this paper aims to provide general guidelines to perform RIS planning in various IIoT scenarios. The planning is aimed at satisfying the stringent IIoT requirements in terms of data rate, reliability, and latency while minimizing the path loss. The results demonstrated the efficacy of RIS implementation in IIoT settings to enhance performance, with a mean path loss improvement of over 30 dB.
2024
8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024 - Proceeding
488
493
Tarozzi, A., Vitucci, E.M., Fuschini, F., Verdone, R. (2024). Guidelines for RIS Planning in IIoT Scenarios. Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI61910.2024.10761677].
Tarozzi, A.; Vitucci, E. M.; Fuschini, F.; Verdone, R.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1000909
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