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^*

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (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.

Original language	English
Title of host publication	ICC 2023 - IEEE International Conference on Communications : Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Number of pages	7
Publisher	IEEE
Publication date	2023
Pages	2722-2728
ISBN (Print)	978-1-5386-7463-5
ISBN (Electronic)	978-1-5386-7462-8
DOIs	https://doi.org/10.1109/ICC45041.2023.10278771
Publication status	Published - 2023
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	28/05/2023 → 01/06/2023

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

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

power control
Reconfigurable intelligent surfaces
stochastic optimization
URLLC

Access to Document

10.1109/ICC45041.2023.10278771

https://arxiv.org/pdf/2211.09171Licence: Other

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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. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. IEEE, 2023. pp. 2722-2728 (I E E E International Conference on Communications).

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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",

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Saggese, F, Chiariotti, F, Kansanen, K & Popovski, P 2023, Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE, I E E E International Conference on Communications, pp. 2722-2728, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 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. ed. / Michele Zorzi; Meixia Tao; Walid Saad. IEEE, 2023. p. 2722-2728 (I E E E International Conference on Communications).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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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.

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Saggese F, Chiariotti F, Kansanen K, Popovski P. Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE. 2023. p. 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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