From the 1 of 11 linked papers with an AI index.
11 papers
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…
Is Lattice Reduction Necessary for Vector Perturbation Precoding?
Dominik Semmler, Wolfgang Utschick, Michael Joham
Vector perturbation (VP) precoding is an effective nonlinear precoding technique in the downlink (DL) with modulo channels, providing an approximation of dirty paper coding (DPC) w…
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…
Precoder Design in Multi-User FDD Systems with VQ-VAE and GNN
Srikar Allaparapu, Michael Baur, Benedikt Böck +2
Robust precoding is efficiently feasible in frequency division duplex (FDD) systems by incorporating the learnt statistics of the propagation environment through a generative model…
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…
On the Asymptotic Mean Square Error Optimality of Diffusion Models
Benedikt Fesl, Benedikt Böck, Florian Strasser +3
Diffusion models (DMs) as generative priors have recently shown great potential for denoising tasks but lack theoretical understanding with respect to their mean square error (MSE)…