Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking

Fabio Saggese; Federico Chiariotti; Kimmo Kansanen; Petar Popovski

doi:10.1109/ICC45041.2023.10278771

Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking

Fabio Saggese^*, Federico Chiariotti^*, Kimmo Kansanen^*, Petar Popovski^*

^*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

Abstract

The use of Reconfigurable Intelligent Surface (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC) communications. However, the extremely challenging latency constraint makes explicit channel estimation difficult, so positioning information is often used to configure the RIS and illuminate the receiver device. In this work, we analyze the effect of imperfections in the positioning information on the reliability, deriving an upper bound to the outage probability. We then use this bound to perform power control, efficiently finding the minimum power that respects the URLLC constraints under positioning uncertainty. The optimization is conservative, so that all points respect the URLLC constraints, and the bound is relatively tight, with an optimality gap between 1.5 and 4.5 dB.

Originalsprog	Engelsk
Titel	ICC 2023 - IEEE International Conference on Communications : Sustainable Communications for Renaissance
Redaktører	Michele Zorzi, Meixia Tao, Walid Saad
Antal sider	7
Forlag	IEEE (Institute of Electrical and Electronics Engineers)
Publikationsdato	2023
Sider	2722-2728
ISBN (Trykt)	978-1-5386-7463-5
ISBN (Elektronisk)	978-1-5386-7462-8
DOI	https://doi.org/10.1109/ICC45041.2023.10278771
Status	Udgivet - 2023
Begivenhed	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italien Varighed: 28 maj 2023 → 1 jun. 2023

Konference

Konference	2023 IEEE International Conference on Communications, ICC 2023
Land/Område	Italien
By	Rome
Periode	28/05/2023 → 01/06/2023

Navn	I E E E International Conference on Communications
ISSN	1550-3607

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Publisher Copyright:
© 2023 IEEE.

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10.1109/ICC45041.2023.10278771

https://arxiv.org/pdf/2211.09171Licens: Andet

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Saggese, F., Chiariotti, F., Kansanen, K., & Popovski, P. (2023). Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. I M. Zorzi, M. Tao, & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (s. 2722-2728). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICC45041.2023.10278771

Saggese, Fabio ; Chiariotti, Federico ; Kansanen, Kimmo et al. / Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. red. / Michele Zorzi ; Meixia Tao ; Walid Saad. IEEE (Institute of Electrical and Electronics Engineers), 2023. s. 2722-2728 (I E E E International Conference on Communications).

@inproceedings{3279966246c540d39100a901904ce984,

title = "Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking",

abstract = "The use of Reconfigurable Intelligent Surface (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC) communications. However, the extremely challenging latency constraint makes explicit channel estimation difficult, so positioning information is often used to configure the RIS and illuminate the receiver device. In this work, we analyze the effect of imperfections in the positioning information on the reliability, deriving an upper bound to the outage probability. We then use this bound to perform power control, efficiently finding the minimum power that respects the URLLC constraints under positioning uncertainty. The optimization is conservative, so that all points respect the URLLC constraints, and the bound is relatively tight, with an optimality gap between 1.5 and 4.5 dB.",

keywords = "power control, Reconfigurable intelligent surfaces, stochastic optimization, URLLC",

author = "Fabio Saggese and Federico Chiariotti and Kimmo Kansanen and Petar Popovski",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, ICC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

year = "2023",

doi = "10.1109/ICC45041.2023.10278771",

language = "English",

isbn = "978-1-5386-7463-5",

series = "I E E E International Conference on Communications",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

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Saggese, F , Chiariotti, F , Kansanen, K & Popovski, P 2023, Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. i M Zorzi, M Tao & W Saad (red), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE (Institute of Electrical and Electronics Engineers), I E E E International Conference on Communications, s. 2722-2728, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italien, 28/05/2023. https://doi.org/10.1109/ICC45041.2023.10278771

Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. / Saggese, Fabio ; Chiariotti, Federico ; Kansanen, Kimmo et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. red. / Michele Zorzi; Meixia Tao; Walid Saad. IEEE (Institute of Electrical and Electronics Engineers), 2023. s. 2722-2728 (I E E E International Conference on Communications).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking

AU - Saggese, Fabio

AU - Chiariotti, Federico

AU - Kansanen, Kimmo

AU - Popovski, Petar

PY - 2023

Y1 - 2023

N2 - The use of Reconfigurable Intelligent Surface (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC) communications. However, the extremely challenging latency constraint makes explicit channel estimation difficult, so positioning information is often used to configure the RIS and illuminate the receiver device. In this work, we analyze the effect of imperfections in the positioning information on the reliability, deriving an upper bound to the outage probability. We then use this bound to perform power control, efficiently finding the minimum power that respects the URLLC constraints under positioning uncertainty. The optimization is conservative, so that all points respect the URLLC constraints, and the bound is relatively tight, with an optimality gap between 1.5 and 4.5 dB.

AB - The use of Reconfigurable Intelligent Surface (RIS) technology to extend coverage and allow for better control of the wireless environment has been proposed in several use cases, including Ultra-Reliable Low-Latency Communications (URLLC) communications. However, the extremely challenging latency constraint makes explicit channel estimation difficult, so positioning information is often used to configure the RIS and illuminate the receiver device. In this work, we analyze the effect of imperfections in the positioning information on the reliability, deriving an upper bound to the outage probability. We then use this bound to perform power control, efficiently finding the minimum power that respects the URLLC constraints under positioning uncertainty. The optimization is conservative, so that all points respect the URLLC constraints, and the bound is relatively tight, with an optimality gap between 1.5 and 4.5 dB.

KW - power control

KW - Reconfigurable intelligent surfaces

KW - stochastic optimization

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ER -

Saggese F , Chiariotti F , Kansanen K , Popovski P. Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. I Zorzi M, Tao M, Saad W, red., ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE (Institute of Electrical and Electronics Engineers). 2023. s. 2722-2728. (I E E E International Conference on Communications). doi: 10.1109/ICC45041.2023.10278771

Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking

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