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Rick Fritschek
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2020 – today
- 2026
[j3]Andreas Roessler, Miguel M. Lopez
, Rouaa Diab
, Renato Luís Garrido Cavalcante
, Ali Abdi
, Christian Arendt
, Carsten Bockelmann
, Alireza Danaee
, Marco Danger
, Armin Dekorsy
, Ali El Husseini
, Gerhard P. Fettweis
, Jochen Fink
, Rick Fritschek
, Pramesh Gautam
, Muhammad Qurratulain Khan
, Sachinkumar Bavikatti Mallikarjun
, Ahmad Nimr
, Mohammad Parvini
, Erma Perenda
, Robert-Jeron Reifert
, Rafael F. Schaefer
, Hans D. Schotten
, Philipp Schulz
, Aydin Sezgin
, Slawomir Stanczak
, Christian Wietfeld
, Dirk Wübben
:
AI/ML-Driven 6G Network Solutions With Energy Efficiency Considerations. IEEE Access 14: 39617-39645 (2026)
[j2]Bitan Banerjee
, Bharat Agarwal
, Abdullah Ahmad
, Carsten Bockelmann
, Renato L. G. Cavalcante
, Alireza Danaee
, Armin Dekorsy
, Gerhard P. Fettweis
, Jochen Fink
, Norman Franchi
, Rick Fritschek
, Florian Gast
, Pramesh Gautam
, Johannes Kortz
, Chu Li
, Miguel Lopez
, Maximilian Lübke
, Lorenzo Miretti, Ahmad Nimr
, Mohammad Parvini
, Stefan Roth
, Rafael F. Schaefer
, Anke Schmeink
, Gerhard Schreiber
, Sadra Seyedmasoumian, Aydin Sezgin
, Slawomir Stanczak
, Yanpeng Su
, Dirk Wübben
, Christian T. Zenger
:
6G PHY: Insights From 6G-ANNA Research Initiative. IEEE Open J. Commun. Soc. 7: 1210-1234 (2026)
[i19]Rick Fritschek, Rafael F. Schaefer:
Condition-Wise Sinkhorn Drifting for One-Shot Learned Channel Simulation. CoRR abs/2606.17893 (2026)- 2025
[i18]Rick Fritschek, Rafael F. Schaefer
:
MinGRU-Based Encoder for Turbo Autoencoder Frameworks. CoRR abs/2503.08451 (2025)- 2024
[c18]Muah Kim, Rick Fritschek
, Rafael F. Schaefer
:
Robust Generation of Channel Distributions with Diffusion Models. ICC 2024: 330-335- 2023
[c17]Onur Günlü
, Rick Fritschek
, Rafael F. Schaefer
:
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE. WCNC 2023: 1-6
[i17]Muah Kim, Rick Fritschek, Rafael F. Schaefer:
Learning End-to-End Channel Coding with Diffusion Models. CoRR abs/2302.01714 (2023)
[i16]Muah Kim, Rick Fritschek
, Rafael F. Schaefer:
Learning End-to-End Channel Coding with Diffusion Models. CoRR abs/2309.10505 (2023)- 2022
[i15]Onur Günlü
, Rick Fritschek, Rafael F. Schaefer:
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE. CoRR abs/2209.01701 (2022)- 2021
[c16]Rick Fritschek
, Rafael F. Schaefer
, Gerhard Wunder:
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding. ICC 2021: 1-6
[c15]Gerhard Wunder, Benedikt Groß, Rick Fritschek
, Rafael F. Schaefer
:
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation. ITW 2021: 1-6
[i14]Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding. CoRR abs/2106.00343 (2021)
[i13]Gerhard Wunder, Benedikt Groß, Rick Fritschek, Rafael F. Schaefer:
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation. CoRR abs/2111.06676 (2021)- 2020
[c14]Rick Fritschek
, Rafael F. Schaefer
, Gerhard Wunder:
Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison. SPAWC 2020: 1-5
[c13]Rick Fritschek
, Rafael F. Schaefer
, Gerhard Wunder:
Deep learning based wiretap coding via mutual information estimation. WiseML@WiSec 2020: 74-79
[i12]Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison. CoRR abs/2006.16015 (2020)
2010 – 2019
- 2019
[j1]Rick Fritschek
, Gerhard Wunder:
On the Gaussian Multiple Access Wiretap Channel and the Gaussian Wiretap Channel With a Helper: Achievable Schemes and Upper Bounds. IEEE Trans. Inf. Forensics Secur. 14(5): 1224-1239 (2019)
[c12]Rick Fritschek
, Rafael F. Schaefer
, Gerhard Wunder:
Deep Learning for the Gaussian Wiretap Channel. ICC 2019: 1-6
[c11]Rick Fritschek
, Rafael F. Schaefer
, Gerhard Wunder:
Deep Learning for Channel Coding via Neural Mutual Information Estimation. SPAWC 2019: 1-5
[i11]Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Deep Learning for Channel Coding via Neural Mutual Information Estimation. CoRR abs/1903.02865 (2019)- 2018
[c10]Gerhard Wunder, Ingo Roth, Rick Fritschek
, Benedikt Groß, Jens Eisert
:
Secure massive IoT using hierarchical fast blind deconvolution. WCNC Workshops 2018: 119-124
[i10]Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert:
Secure Massive IoT Using Hierarchical Fast Blind Deconvolution. CoRR abs/1801.09628 (2018)
[i9]Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert:
Performance of Hierarchical Sparse Detectors for Massive MTC. CoRR abs/1806.02754 (2018)
[i8]Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder:
Deep Learning for the Gaussian Wiretap Channel. CoRR abs/1810.12655 (2018)- 2017
[c9]Gerhard Wunder, Ingo Roth, Rick Fritschek
, Jens Eisert
:
HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. ACSSC 2017: 1929-1934
[c8]Rick Fritschek
, Gerhard Wunder:
On full-duplex secure key generation with deterministic models. CNS 2017: 550-554
[c7]Rick Fritschek
, Gerhard Wunder:
On-the-fly secure key generation with deterministic models. ICC 2017: 1-6
[i7]Rick Fritschek, Gerhard Wunder:
On the Deterministic Sum-Capacity of the Multiple Access Wiretap Channel. CoRR abs/1701.07380 (2017)
[i6]Rick Fritschek, Gerhard Wunder:
On-The-Fly Secure Key Generation with Deterministic Models. CoRR abs/1705.01325 (2017)
[i5]Rick Fritschek, Gerhard Wunder:
On Multiuser Gain and the Constant-Gap Sum Capacity of the Gaussian Interfering Multiple Access Channel. CoRR abs/1705.04514 (2017)
[i4]Rick Fritschek, Gerhard Wunder:
On the Gaussian Multiple Access Wiretap Channel and the Gaussian Wiretap Channel with a Helper: Achievable Schemes and Upper Bounds. CoRR abs/1712.04274 (2017)- 2016
[c6]Rick Fritschek
, Gerhard Wunder:
Towards a constant-gap sum-capacity result for the Gaussian wiretap channel with a helper. ISIT 2016: 2978-2982
[c5]Gerhard Wunder, Rick Fritschek
, Khan Reaz
:
RECiP: Wireless channel reciprocity restoration method for varying transmission power. PIMRC 2016: 1-5
[i3]Rick Fritschek, Gerhard Wunder:
Towards a Constant-Gap Sum-Capacity Result for the Gaussian Wiretap Channel with a Helper. CoRR abs/1601.06437 (2016)- 2015
[c4]Rick Fritschek
, Gerhard Wunder:
Deterministic IMAC revisited: Constant-gap capacity in the weak interference case. ICC 2015: 4211-4216
[c3]Rick Fritschek
, Gerhard Wunder:
Constant-gap sum-capacity approximation of the deterministic interfering multiple access channel. ISIT 2015: 2643-2647- 2014
[c2]Rick Fritschek
, Gerhard Wunder:
Upper bounds and duality relations of the linear deterministic sum capacity for cellular systems. ICC 2014: 1884-1889
[c1]Rick Fritschek
, Gerhard Wunder:
Enabling the multi-user generalized degrees of freedom in the Gaussian cellular channel. ITW 2014: 107-111
[i2]Rick Fritschek, Gerhard Wunder:
Upper Bounds and Duality Relations of the Linear Deterministic Sum Capacity for Cellular Systems. CoRR abs/1408.5057 (2014)
[i1]Rick Fritschek, Gerhard Wunder:
Enabling the Multi-User Generalized Degrees of Freedom in the Gaussian Cellular Channel. CoRR abs/1408.5072 (2014)
Coauthor Index

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last updated on 2026-07-11 00:44 CEST by the dblp team
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