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Robust reconfigurable intelligent surfaces via invariant risk and causal representations |
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| Author: | Samarakoon, Sumudu1; Park, Jihong2; Bennis, Mehdi1 |
| Organizations: |
1Centre for Wireless Communication, University of Oulu, Finland 2School of Information Technology, Deakin University, Geelong, VIC 3220, Australia |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.6 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202301031248 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2021
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| Publish Date: | 2023-01-03 |
| Description: |
AbstractIn this paper, the problem of robust reconfigurable intelligent surface (RIS) system design under changes in data distributions is investigated. Using the notion of invariant risk minimization (IRM), an invariant causal representation across multiple environments is used such that the predictor is simultaneously optimal for each environment. A neural network-based solution is adopted to seek the predictor and its performance is validated via simulations against an empirical risk minimization-based design. Results show that leveraging invariance yields more robustness against unseen and out-of-distribution testing environments. see all
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| Series: |
SPAWC |
| ISSN: | 1948-3244 |
| ISSN-E: | 1948-3252 |
| ISSN-L: | 1948-3244 |
| ISBN: | 978-1-6654-2851-4 |
| ISBN Print: | 978-1-6654-2852-1 |
| Pages: | 301 - 305 |
| DOI: | 10.1109/SPAWC51858.2021.9593252 |
| OADOI: | https://oadoi.org/10.1109/SPAWC51858.2021.9593252 |
| Host publication: |
22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021 |
| Conference: |
IEEE Workshop on Signal Processing Advances in Wireless Communications |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This research was partly supported by Academy of Finland6G Flagship (grant no.318927) and projects NEGEIN, SMARTER, EU-ICT IntellIoT, EUCHISTERA LearningEdge, and Infotech-NOOR. |
| EU Grant Number: |
(957218) IntellIoT - Intelligent, distributed, human-centered and trustworthy IoT environments |
| Academy of Finland Grant Number: |
318927 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) |
| Copyright information: |
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