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eess.SP2026

Confidence-Guided Adaptive Beam Selection for Vision-Aided Beam Tracking in mmWave Systems

Sohani Munteha Hiam, Mohammad Soleymani, Rafael F. Schaefer

Vision-aided beam tracking reduces mmWave beam-training overhead by predicting beam indices from camera observations. Fixed top- selection, however, assigns the same candidate b…

eess.SP2026

The manifold of unitary and symmetric matrices: characterization, Riemannian optimization and application to BD-RIS design

Ignacio Santamaria, Carlos Beltrán, Eduard Jorswieck +2

This paper proposes and analyzes Riemannian optimization algorithms on the manifold of unitary and symmetric matrices, denoted , which naturally models the scattering…

eess.SP2026

Optimal symmetric low-rank BD-RIS configuration maximizing the determinant of a MIMO link

Ignacio Santamaria, Mohammad Soleymani, Jesus Gutierrez +1

Beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) significantly improve wireless performance by allowing tunable interconnections among elements, but their design in mu…

eess.SP2026

RIS-Aided RSMA Improves the Latency vs. Energy Trade-off in the Finite Block Length MIMO Downlink

Mohammad Soleymani, Bruno Clerckx, Robert Schober +1

We simultaneously minimize the latency and improve energy efficiency (EE) of the multi-user multiple-input multiple-output (MU-MIMO) rate splitting multiple access (RSMA) downlink,…

eess.SP2026

Riemannian optimization on the manifold of unitary and symmetric matrices with application to BD-RIS-assisted systems

Ignacio Santamaria, Mohammad Soleymani, Eduard Jorswieck +2

In this paper, we rigorously characterize for the first time the manifold of unitary and symmetric matrices, deriving its tangent space and its geodesics. The resulting parameteriz…