106 citations · 324 across the 49 of their papers we have counts for
17 papers · 1 filter
Statistical Precoder Design in Multi-User Systems via Graph Neural Networks and Generative Modeling
Nurettin Turan, Srikar Allaparapu, Donia Ben Amor +3
This letter proposes a graph neural network (GNN)-based framework for statistical precoder design that leverages model-based insights to compactly represent statistical knowledge,…
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…
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…
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…
Low Complexity Rate Splitting Approach in RIS-Aided Systems Based on Channel Statistics
Sadaf Syed, Michael Joham, Wolfgang Utschick
Rate splitting multiple access (RSMA) and reconfigurable intelligent surface (RIS) are two prospective technologies for improving the spectral and energy efficiency in future wirel…
Nonlinear Precoding in the RIS-Aided MIMO Broadcast Channel
Dominik Semmler, Michael Joham, Wolfgang Utschick
We propose to use Tomlinson-Harashima Precoding (THP) for the reconfigurable intelligent surface (RIS)-aided multiple-input multiple-output (MIMO) broadcast channel where we assume…