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Invitation to the public viva voce of: Dipl.-Ing. Richard Prüller BSc

Telecommunications / News / Invitation to the public viva voce of: Dipl.-Ing. Richard Prüller BSc
21. April 2026
Title of Dissertation: A Circuit-Theoretic and Graph-Based Wireless Channel Model
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Examination Senate:

Univ.-Prof.Dr. Markus Rupp / E 389 (Supervisor)

Prof. Josef Nossek / TU München

Univ.-Prof.Dr. Christoph Mecklenbräuker / E 389

ao.Univ.-Prof.Dr. Thilo Sauter / E 384 (Chair)

Date: 21th April 2026, 10:30 a.m

Place: Seminarraum 384, CD 02 04

Abstract

This dissertation develops a circuit-theoretic and graph-based wireless channel model

(CGCM) that unifies antennas, scatterers, and circuits in a single S-parameter-based

framework. We build the channel model from the ground up, by first revisiting the

most important fundamentals of antenna theory. On this basis we introduce the

unified antenna model (UAM) for far-field transmission, reception, and scattering.

The UAM itself is based on four central equations, which in turn introduce four

characteristics that fully describe an antenna in the far-field. The CGCM is the

logical extension of the UAM to multi-antenna and scatterer scenarios. Among the

scenarios the CGCM can model are multi-antenna systems, analog and hybrid beam-

formers, reconfigurable intelligent surfaces (RIS) and the near-field of large arrays.

Signals are expressed as root-power waves and relations are S-parameters, allowing

direct integration with measured antenna data and RF components. The resulting

matrix formulation separates circuit/near-field coupling from far-field and scattering

links, yielding a compact end-to-end channel description suitable for analysis and

simulation over large bandwidths. A reference implementation was validated with

wideband indoor measurement campaigns (6–24 GHz) using virtual arrays. We show

that simulations capture key channel properties such as line-of-sight strength, mul-

tipath structure, spatial consistency, and singular-value behavior across frequency.

These channel properties are important in the domain of signal processing, making

the CGCM especially useful for testing algorithms against realistic channels.

Einladung PRÜLLER Richard PDF157.20 KB

Post created on: 5th March, 2026

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