URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas

The challenges in dense ultra-reliable low-latency communication networks to deliver the required service to multiple devices are addressed by three main technologies: multiple antennas at the base station (MISO), rate splitting multiple access (RSMA) with private and common message encoding, and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). Careful resource allocation, encompassing beamforming and RIS optimization, is required to exploit the synergy between the three. We propose an alternating optimization-based algorithm, relying on minorization-maximization. Numerical results show that the achievable second-order max-min rates of the proposed scheme outperform the baselines significantly. MISO, RSMA, and STAR-RIS all contribute to enabling ultra-reliable low-latency communication (URLLC).

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Publication Details

Published
2025-02-23
DOI
https://doi.org/10.1109/icmmts62835.2025.10926047
Citations
3
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
14.98
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article

URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas

Ignacio Santamarı́a, Mohammad Soleymani, Jesús Gutiérrez
3 citations
Satellite Communication Systems
14.98
article

URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas

Ignacio Santamarı́a, Mohammad Soleymani, Jesús Gutiérrez
article en
3 citations

Abstract

The challenges in dense ultra-reliable low-latency communication networks to deliver the required service to multiple devices are addressed by three main technologies: multiple antennas at the base station (MISO), rate splitting multiple access (RSMA) with private and common message encoding, and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). Careful resource allocation, encompassing beamforming and RIS optimization, is required to exploit the synergy between the three. We propose an alternating optimization-based algorithm, relying on minorization-maximization. Numerical results show that the achievable second-order max-min rates of the proposed scheme outperform the baselines significantly. MISO, RSMA, and STAR-RIS all contribute to enabling ultra-reliable low-latency communication (URLLC).

Universidad de Cantabria (ES), Paderborn University (DE), Technische Universität Braunschweig (DE), Leibniz Institute for Neurobiology (DE)
Affordable and clean energy
Openalex Percentile: Top 2%
Satellite Communication Systems
14.98
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URLLC Networks enabled by STAR-RIS, Rate Splitting, and Multiple Antennas — Ignacio Santamarı́a, Mohammad Soleymani, et al. · (2025) | TGRS Research Map | TGRS