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

TL;DR

This paper proposes an integrated approach using MISO, RSMA, and STAR-RIS with optimized resource allocation to enhance URLLC performance, demonstrating significant improvements over baseline methods.

Contribution

It introduces an alternating optimization algorithm for joint beamforming and RIS configuration, effectively combining three key technologies for URLLC.

Findings

Achieves higher second-order max-min rates than baselines.

Shows the synergy of MISO, RSMA, and STAR-RIS in URLLC.

Demonstrates the effectiveness of the proposed optimization scheme.

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).