English

STAR Beyond Diagonal RISs with Amplification: Modeling and Optimization

Information Theory 2026-03-09 v1 Signal Processing math.IT

Abstract

This paper develops a physically consistent signal model with hardware constraints for a simultaneous transmitting and reflecting beyond-diagonal RIS (STAR BD-RIS) endowed with per-element amplification and lossless power splitting. We explicitly decouple (i) amplification via a diagonal gain matrix, (ii) element-wise reflection/transmission splitting, and (iii) passive beyond-diagonal coupling on each branch, while enforcing practical feasibility through per-element emission caps and an aggregate RIS power budget under the operating covariance. Building on this model, we cast downlink sum-rate maximization as an equivalent weighted minimum mean-square error (WMMSE) problem and propose an alternating optimization framework with provable monotonic descent. The method admits closed-form updates for MMSE combiners and weights, waterfilling-like beamformer updates via a single dual variable, a per-element amplification update that satisfies emission constraints, and a STAR power-splitting update based on cyclic coordinate descent with a global acceptance test. For the beyond-diagonal coupling matrices, we derive Riemannian gradient steps on the complex Stiefel manifold with QR/polar retraction method, preserving passivity at every iterate. Furthermore, the proposed approach decouples the optimization of the reflective and transmissive responses of the BD-RIS, enabling efficient distributed implementation. Numerical results demonstrate substantial sum-rate gains compared to the conventional passive BD-RIS.

Keywords

Cite

@article{arxiv.2603.06020,
  title  = {STAR Beyond Diagonal RISs with Amplification: Modeling and Optimization},
  author = {Chandan Kumar Sheemar and Giovanni Iacovelli and Wali Ullah Khan and George C. Alexandropoulos and Stefano Tomasin and Symeon Chatzinotas},
  journal= {arXiv preprint arXiv:2603.06020},
  year   = {2026}
}
R2 v1 2026-07-01T11:06:22.808Z