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PreprintCC BY 4.0arXiv

Optimization of Active Reconfigurable Surfaces for Spatiotemporal MU-MIMO Wave Routing in Disordered Media: Application to the Cocktail-Party Problem

Abstract

We design an active reconfigurable intelligent surface (RIS) for acoustic multi-user multiple-input multiple-output (MU-MIMO) communication by solving a large-scale convex optimization problem, so that each emitter's broadband signal focuses in space and time at its intended receivers while crosstalk is suppressed. In acoustic experiments, we show that our approach outperforms existing time-reversal methods by 5.1-7.6 dB in crosstalk suppression, while achieving better temporal focusing.

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BibTeX
@misc{jorgensen2026optimization,
  title = {{Optimization of Active Reconfigurable Surfaces for Spatiotemporal MU-MIMO Wave Routing in Disordered Media: Application to the Cocktail-Party Problem}},
  author = {Frederic J. N. Jorgensen and Florent Dorlot and Constant Bourdeloux and Mathias Fink and Fabrice Lemoult and Steven G. Johnson and Raphaël Pestourie},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.14328},
  eprint = {2610.14328},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.14328},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Optimization of Active Reconfigurable Surfaces for Spatiotemporal MU-MIMO Wave Routing in Disordered Media: Application to the Cocktail-Party Problem
AU  - Frederic J. N. Jorgensen
AU  - Florent Dorlot
AU  - Constant Bourdeloux
AU  - Mathias Fink
AU  - Fabrice Lemoult
AU  - Steven G. Johnson
AU  - Raphaël Pestourie
PY  - 2026
DA  - 2026/10/09
PB  - arXiv
DO  - 10.48550/arxiv.2610.14328
UR  - https://arxiv.org/abs/2610.14328
AB  - We design an active reconfigurable intelligent surface (RIS) for acoustic multi-user multiple-input multiple-output (MU-MIMO) communication by solving a large-scale convex optimization problem, so that each emitter's broadband signal focuses in space and time at its intended receivers while crosstalk is suppressed. In acoustic experiments, we show that our approach outperforms existing time-reversal methods by 5.1-7.6 dB in crosstalk suppression, while achieving better temporal focusing.
ER  -