4 citations · 6 across the 32 of their papers we have counts for
23 papers · 1 filter
OTFS Channel Estimation Utilizing Sparse Bayesian Generative Modelling
Louis Anseaume, Benedikt Böck, Franz Weißer +1
One of the key challenges of future wireless communication systems is ensuring reliability in high-speed mobile scenarios, where accurate recovery of channel state information (CSI…
Lightweight Beam Index Map Using Coupled Gaussian Mixture Models
Amar Kasibovic, Franz Weißer, Wolfgang Utschick
This paper addresses the beam alignment problem in MIMO systems from a decentralized, mobile terminal (MT)-centric perspective. We propose a lightweight machine learning approach t…
Joint Access Point Selection and Precoder Design under Statistical CSI
Tim N. Faisst, Franz Weißer, Wolfgang Utschick
This work addresses joint access point (AP) selection and precoding for sum-rate maximization under statistical channel state information (CSI) in multi-AP multi-user systems. To t…
Efficient Channel Prediction based on Gram-Square-Root Factorization using GMMs
Kathrin Klein, Amar Kasibovic, Michael Joham +2
Accurate channel state information (CSI) is critical for downlink (DL)-multi-user (MU)-multiple-input multiple-output (MIMO) systems, where feedback delays and mobility can degrade…
Context-Aware CSI Prediction for Access Point Selection Utilizing Conditional VAEs
Franz Weißer, Amar Kasibovic, Wolfgang Utschick
Indoor wireless communication environments are strongly influenced by dynamic conditions, which affect channel state information (CSI) and, consequently, the precoding strategy and…
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…
Wireless Channel Modeling for Machine Learning -- A Critical View on Standardized Channel Models
Benedikt Böck, Amar Kasibovic, Wolfgang Utschick
Standardized (link-level) channel models such as the 3GPP TDL and CDL models are frequently used to evaluate machine learning (ML)-based physical-layer methods. However, in this wo…
Enhancements in Score-based Channel Estimation for Real-Time Wireless Systems
Florian Strasser, Marion Bäro, Wolfgang Utschick
We propose enhancements to score-based generative modeling techniques for low-latency pilot-based channel estimation in a point-to-point single-carrier multiple-input multiple-outp…
Autoregressive-Gaussian Mixture Models: Efficient Generative Modeling of WSS Signals
Kathrin Klein, Benedikt Böck, Nurettin Turan +1
This work addresses the challenge of making generative models suitable for resource-constrained environments like mobile wireless communication systems. We propose a generative mod…
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…
Semi-Blind Strategies for MMSE Channel Estimation Utilizing Generative Priors
Franz Weißer, Nurettin Turan, Dominik Semmler +2
This paper investigates semi-blind channel estimation for massive multiple-input multiple-output (MIMO) systems. To this end, we first estimate a subspace based on all received sym…
On the Asymptotic MSE-Optimality of Parametric Bayesian Channel Estimation in mmWave Systems
Franz Weißer, Wolfgang Utschick
The mean square error (MSE)-optimal estimator is known to be the conditional mean estimator (CME). This paper introduces a parametric channel estimation technique based on Bayesian…
Sparse Bayesian Generative Modeling for Joint Parameter and Channel Estimation
Benedikt Böck, Franz Weißer, Michael Baur +1
Leveraging the inherent connection between sensing systems and wireless communications can improve their overall performance and is the core objective of joint communications and s…
Physics-Informed Generative Modeling of Wireless Channels
Benedikt Böck, Andreas Oeldemann, Timo Mayer +2
Learning the site-specific distribution of the wireless channel within a particular environment of interest is essential to exploit the full potential of machine learning (ML) for…
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…
Addressing Pilot Contamination in Channel Estimation with Variational Autoencoders
Amar Kasibovic, Benedikt Fesl, Michael Baur +1
Pilot contamination (PC) is a well-known problem that affects massive multiple-input multiple-output (MIMO) systems. When frequency and pilots are reused between different cells, P…
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…
Linear and Nonlinear MMSE Estimation in One-Bit Quantized Systems under a Gaussian Mixture Prior
Benedikt Fesl, Wolfgang Utschick
We present new fundamental results for the mean square error (MSE)-optimal conditional mean estimator (CME) in one-bit quantized systems for a Gaussian mixture model (GMM) distribu…
A Statistical Characterization of Wireless Channels Conditioned on Side Information
Benedikt Böck, Michael Baur, Nurettin Turan +2
Statistical prior channel knowledge, such as the wide-sense-stationary-uncorrelated-scattering (WSSUS) property, and additional side information both can be used to enhance physica…
Learning Representations for CSI Adaptive Quantization and Feedback
Valentina Rizzello, Matteo Nerini, Michael Joham +2
In this work, we propose an efficient method for channel state information (CSI) adaptive quantization and feedback in frequency division duplexing (FDD) systems. Existing works ma…