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From the 1 of 11 linked papers with an AI index.

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20242026
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eess.SP2026

Efficient Channel Prediction based on Gram-Square-Root Factorization using GMMs

Kathrin Klein, Amar Kasibovic, Michael Joham +2

The paper proposes a Gaussian mixture model framework that uses Gram‑square‑root factorization to efficiently predict MIMO‑OFDM channel state information from partial feedback, red…

eess.SP2026

On the Optimality of Rate Balancing for Max-Min Fair Multicasting

Sadaf Syed, Wolfgang Utschick, Michael Joham

The max-min fair (MMF) multicasting problem is known to be NP-hard. In this work, we analytically derive the optimal solution to this NP-hard problem and establish the equivalence…

eess.SP2025

Sum-Rate Optimisation of a Multi-User STAR-RIS-Aided System with Low Complexity

Sadaf Syed, Wolfgang Utschick, Michael Joham

Reconfigurable intelligent surface (RIS) is a promising technology for future wireless communication systems. However, the conventional RIS can only reflect the incident signal. He…

eess.SP2024

Decoupling Networks and Super-Quadratic Gains for RIS Systems with Mutual Coupling

Dominik Semmler, Josef A. Nossek, Michael Joham +2

We propose decoupling networks for the reconfigurable intelligent surface (RIS) array as a solution to benefit from the mutual coupling between the reflecting elements. In particul…

eess.SP2024

Robust Precoding for FDD MISO Systems via Minorization Maximization

Donia Ben Amor, Michael Joham, Wolfgang Utschick

In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficie…

eess.SP2024

Bilinear Precoder Based Efficient Rate Splitting Method in FDD Systems

Sadaf Syed, Donia Ben Amor, Michael Joham +1

In this work, we propose a low-cost rate splitting (RS) technique for a multi-user multiple-input single-output (MISO) system operating in frequency division duplex (FDD) mode. The…