Evaluation of VoIP Performance in Downlink Cellular Networks With Multihop Relaying. - Nikolaj Marchenko; Jakob Hoydis; Aik Chindapol; Rainer Schoenen (MASS, 2007)

Effects of topology on local throughput-capacity of ad hoc networks. - Jakob Hoydis; Marina Petrova; Petri Mähönen (PIMRC, 2008)

The Effects of Topology on the Local Throughput of Ad Hoc Networks. - Jakob Hoydis; Marina Petrova; Petri Mähönen (Ad Hoc Sens. Wirel. Networks, 2009)

Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel. - Amir Bennatan; Vaneet Aggarwal; Yiyue Wu; A. Robert Calderbank; Jakob Hoydis; Aik Chindapol (IEEE Trans. Wirel. Commun., 2009)

Fluctuations of the mutual information in large distributed antenna systems with colored noise. - Jakob Hoydis; Jamal Najim; Romain Couillet; Mérouane Debbah (Allerton, 2010)

Asymptotic analysis of distributed multi-cell beamforming. - Subhash Lakshminarayana; Jakob Hoydis; Mérouane Debbah; Mohamad Assaad (PIMRC, 2010)

A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems - Romain Couillet; Jakob Hoydis; Mérouane Debbah (CoRR, 2010)

Session WA1a: Channel estimation for multi-antenna systems. - Jakob Hoydis (ACSCC, 2011)

Asymptotic analysis of double-scattering channels. - Jakob Hoydis; Romain Couillet; Mérouane Debbah (ACSCC, 2011)

Massive MIMO: How many antennas do we need? - Jakob Hoydis; Stephan ten Brink; Mérouane Debbah (Allerton, 2011)

Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems. - Jakob Hoydis; Romain Couillet; Mérouane Debbah (ICC, 2011)

Asymptotic moments for interference mitigation in correlated fading channels. - Jakob Hoydis; Mérouane Debbah; Mari Kobayashi (ISIT, 2011)

Random Beamforming over Correlated Fading Channels - Jakob Hoydis; Romain Couillet; Mérouane Debbah (CoRR, 2011)

Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems - Jakob Hoydis; Romain Couillet; Mérouane Debbah (CoRR, 2011)

Optimal Channel Training in Uplink Network MIMO Systems. - Jakob Hoydis; Mari Kobayashi; Mérouane Debbah (IEEE Trans. Signal Process., 2011)

Green Small-Cell Networks. - Jakob Hoydis; Mari Kobayashi; Mérouane Debbah (IEEE Veh. Technol. Mag., 2011)

Optimal 3D cell planning: A random matrix approach. - Axel Müller 001; Jakob Hoydis; Romain Couillet; Mérouane Debbah (GLOBECOM, 2012)

Comparison of linear precoding schemes for downlink massive MIMO. - Jakob Hoydis; Stephan ten Brink; Mérouane Debbah (ICC, 2012)

A random matrix approach to the finite blocklength regime of MIMO fading channels. - Jakob Hoydis; Romain Couillet; Pablo Piantanida; Mérouane Debbah (ISIT, 2012)

Channel measurements for large antenna arrays. - Jakob Hoydis; Cornelis Hoek; Thorsten Wild; Stephan ten Brink (ISWCS, 2012)

Analysis of multicell cooperation with random user locations via deterministic equivalents. - Jakob Hoydis; Axel Müller 001; Romain Couillet; Mérouane Debbah (WiOpt, 2012)

Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach. - Romain Couillet; Jakob Hoydis; Mérouane Debbah (IEEE Trans. Inf. Theory, 2012)

Massive MIMO and small cells: How to densify heterogeneous networks. - Kianoush Hosseini; Jakob Hoydis; Stephan ten Brink; Mérouane Debbah (ICC, 2013)

Hardware impairments in large-scale MISO systems: Energy efficiency, estimation, and capacity limits. - Emil Björnson; Jakob Hoydis; Marios Kountouris; Mérouane Debbah (DSP, 2013)

Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel. - Jakob Hoydis; Romain Couillet; Pablo Piantanida (ISIT, 2013)

Sharpened capacity lower bounds of fading MIMO channels with imperfect CSI. - Adriano Pastore; Jakob Hoydis; Javier Rodríguez Fonollosa (ISIT, 2013)

Rate loss analysis of transmitter cooperation with distributed CSIT. - Paul de Kerret; Jakob Hoydis; David Gesbert (SPAWC, 2013)

Making Smart Use of Excess Antennas: Massive MIMO, Small Cells, and TDD. - Jakob Hoydis; Kianoush Hosseini; Stephan ten Brink; Mérouane Debbah (Bell Labs Tech. J., 2013)

The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel - Jakob Hoydis; Romain Couillet; Pablo Piantanida (CoRR, 2013)

Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need? - Jakob Hoydis; Stephan ten Brink; Mérouane Debbah (IEEE J. Sel. Areas Commun., 2013)

Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer? - Emil Björnson; Luca Sanguinetti; Jakob Hoydis; Mérouane Debbah (WCNC, 2014)

Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits. - Emil Björnson; Jakob Hoydis; Marios Kountouris; Mérouane Debbah (IEEE Trans. Inf. Theory, 2014)

The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel. - Jakob Hoydis; Romain Couillet; Pablo Piantanida (IEEE Trans. Inf. Theory, 2015)

Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer? - Emil Björnson; Luca Sanguinetti; Jakob Hoydis; Mérouane Debbah (IEEE Trans. Wirel. Commun., 2015)

On deep learning-based channel decoding. - Tobias Gruber; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (CISS, 2017)

Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning. - Sebastian Cammerer; Tobias Gruber; Jakob Hoydis; Stephan ten Brink (GLOBECOM, 2017)

Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform. - Sebastian Cammerer; Benedikt Leible; Matthias Stahl; Jakob Hoydis; Stephan ten Brink (ICASSP, 2017)

Pilot contamination is not a fundamental asymptotic limitation in massive MIMO. - Emil Björnson; Jakob Hoydis; Luca Sanguinetti (ICC, 2017)

An Introduction to Machine Learning Communications Systems. - Timothy J. O'Shea; Jakob Hoydis (CoRR, 2017)

Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency. - Emil Björnson; Jakob Hoydis; Luca Sanguinetti (Found. Trends Signal Process., 2017)

An Introduction to Deep Learning for the Physical Layer. - Timothy J. O'Shea; Jakob Hoydis (IEEE Trans. Cogn. Commun. Netw., 2017)

End-to-End Learning of Communications Systems Without a Channel Model. - Fayçal Ait Aoudia; Jakob Hoydis (ACSSC, 2018)

Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO. - Luca Sanguinetti; Emil Björnson; Jakob Hoydis (GLOBECOM, 2018)

Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. - Stefan Schibisch; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (ISWCS, 2018)

Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO? - Emil Björnson; Luca Sanguinetti; Jakob Hoydis (SPAWC, 2018)

OFDM-Autoencoder for End-to-End Learning of Communications Systems. - Alexander Felix; Sebastian Cammerer; Sebastian Dörner; Jakob Hoydis; Stephan ten Brink (SPAWC, 2018)

Deep Learning Based Communication Over the Air. - Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (IEEE J. Sel. Top. Signal Process., 2018)

Massive MIMO Has Unlimited Capacity. - Emil Björnson; Jakob Hoydis; Luca Sanguinetti (IEEE Trans. Wirel. Commun., 2018)

Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Jakob Hoydis; Stephan ten Brink (ACSSC, 2019)

Transmitter Classification with Supervised Deep Learning. - Cyrille Morin; Leonardo S. Cardoso; Jakob Hoydis; Jean-Marie Gorce; Thibaud Vial (CrownCom, 2019)

"Machine LLRning": Learning to Softly Demodulate. - Ori Shental; Jakob Hoydis (GLOBECOM Workshops, 2019)

Joint Learning of Geometric and Probabilistic Constellation Shaping. - Maximilian Stark; Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM Workshops, 2019)

Towards Hardware Implementation of Neural Network-based Communication Algorithms. - Fayçal Ait Aoudia; Jakob Hoydis (SPAWC, 2019)

Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. - Morteza Varasteh; Jakob Hoydis; Bruno Clerckx (SPAWC, 2019)

Deep Reinforcement Learning Autoencoder with Noisy Feedback. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (WiOpt, 2019)

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. - Maximilian Arnold; Sebastian Dörner; Sebastian Cammerer; Sarah Yan; Jakob Hoydis; Stephan ten Brink (CoRR, 2019)

Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come. - Marco Di Renzo; Mérouane Debbah; Dinh Thuy Phan Huy; Alessio Zappone; Mohamed-Slim Alouini; Chau Yuen; Vincenzo Sciancalepore; George C. Alexandropoulos; Jakob Hoydis; Haris Gacanin; Julien de Rosny; Ahcène Bounceur; et al. (CoRR, 2019)

Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination. - Luca Sanguinetti; Emil Björnson; Jakob Hoydis (CoRR, 2019)

Massive MIMO is a reality - What is next?: Five promising research directions for antenna arrays. - Emil Björnson; Luca Sanguinetti; Henk Wymeersch; Jakob Hoydis; Thomas L. Marzetta (Digit. Signal Process., 2019)

Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come. - Marco Di Renzo; Mérouane Debbah; Dinh Thuy Phan Huy; Alessio Zappone; Mohamed-Slim Alouini; Chau Yuen; Vincenzo Sciancalepore; George C. Alexandropoulos; Jakob Hoydis; Haris Gacanin; Julien de Rosny; Ahcène Bounceur; et al. (EURASIP J. Wirel. Commun. Netw., 2019)

Model-Free Training of End-to-End Communication Systems. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE J. Sel. Areas Commun., 2019)

Introduction to the special section on deep reinforcement learning for future wireless communication networks. - Shimin Gong; Dinh Thai Hoang; Dusit Niyato; Ahmed El Shafie 001; Antonio De Domenico; Emilio Calvanese Strinati; Jakob Hoydis (IEEE Trans. Cogn. Commun. Netw., 2019)

Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency. - Emil Björnson; Luca Sanguinetti; Jakob Hoydis (IEEE Trans. Commun., 2019)

Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. - Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM, 2020)

Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. - Mehrdad Khani Shirkoohi; Mohammad Alizadeh; Jakob Hoydis; Phil Fleming (ICASSP, 2020)

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. - Fayçal Ait Aoudia; Sebastian Cammerer; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (SiPS, 2020)

Deep HyperNetwork-Based MIMO Detection. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis (SPAWC, 2020)

Towards Joint Learning of Optimal Signaling and Wireless Channel Access. - Alvaro Valcarce; Jakob Hoydis (CoRR, 2020)

Towards a 6G AI-Native Air Interface. - Jakob Hoydis; Fayçal Ait Aoudia; Alvaro Valcarce; Harish Viswanathan (CoRR, 2020)

Special issue on advances and applications of artificial intelligence and machine learning for wireless communications. - H. Birkan Yilmaz 001; Chan-Byoung Chae; Yansha Deng; Tim O'Shea 001; Linglong Dai; Namyoon Lee; Jakob Hoydis (J. Commun. Networks, 2020)

Trainable Communication Systems: Concepts and Prototype. - Sebastian Cammerer; Fayçal Ait Aoudia; Sebastian Dörner; Maximilian Stark; Jakob Hoydis; Stephan ten Brink (IEEE Trans. Commun., 2020)

Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination. - Luca Sanguinetti; Emil Björnson; Jakob Hoydis (IEEE Trans. Commun., 2020)

Learning to Communicate and Energize: Modulation, Coding, and Multiple Access Designs for Wireless Information-Power Transmission. - Morteza Varasteh; Jakob Hoydis; Bruno Clerckx (IEEE Trans. Commun., 2020)

Adaptive Neural Signal Detection for Massive MIMO. - Mehrdad Khani Shirkoohi; Mohammad Alizadeh; Jakob Hoydis; Phil Fleming (IEEE Trans. Wirel. Commun., 2020)

End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. - Fayçal Ait Aoudia; Jakob Hoydis (GLOBECOM (Workshops), 2021)

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (GLOBECOM (Workshops), 2021)

The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. - Mateus P. Mota; Alvaro Valcarce; Jean-Marie Gorce; Jakob Hoydis (GLOBECOM (Workshops), 2021)

SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities. - Wenliang Qi; Jiaqi Quan; Jakob Hoydis; Chenhui Ye (GLOBECOM, 2021)

Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. - Fayçal Ait Aoudia; Jakob Hoydis (ICC Workshops, 2021)

Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer. - Brian Rappaport; Emre Gönültas; Jakob Hoydis; Maximilian Arnold; Pavan Koteshwar Srinath; Christoph Studer (ISWCS, 2021)

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (SPAWC, 2021)

Toward a 6G AI-Native Air Interface. - Jakob Hoydis; Fayçal Ait Aoudia; Alvaro Valcarce; Harish Viswanathan (IEEE Commun. Mag., 2021)

Learning OFDM Waveforms with PAPR and ACLR Constraints. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (CoRR, 2021)

Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. - Faris B. Mismar; Jakob Hoydis (IEEE Commun. Lett., 2021)

Machine Learning for MU-MIMO Receive Processing in OFDM Systems. - Mathieu Goutay; Fayçal Ait Aoudia; Jakob Hoydis; Jean-Marie Gorce (IEEE J. Sel. Areas Commun., 2021)

Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar M. H. Elmirghani (IEEE J. Sel. Areas Commun., 2021)

Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar Mohamed Hashim Elmirghani (IEEE J. Sel. Areas Commun., 2021)

Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar M. H. Elmirghani (IEEE J. Sel. Areas Commun., 2021)

Bayesian Optimization for Radio Resource Management: Open Loop Power Control. - Lorenzo Maggi; Alvaro Valcarce; Jakob Hoydis (IEEE J. Sel. Areas Commun., 2021)

Guest Editorial: AI and 6G Convergence: An Energy Efficiency Perspective. - Van Zhang; Melike Erol-Kantarci; Wen Sun; Yueyue Dai; Jakob Hoydis; Mustafa Cenk Gursoy (IEEE Netw., 2021)

Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access. - Alvaro Valcarce; Jakob Hoydis (IEEE Trans. Cogn. Commun. Netw., 2021)

DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. - Reinhard Wiesmayr; Chris Dick; Jakob Hoydis; Christoph Studer (IEEECONF, 2022)

Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding. - Kai Kang; Qiyu Hu; Yunlong Cai; Guanding Yu; Jakob Hoydis; Yonina C. Eldar (EUSIPCO, 2022)

Deep Learning-Based Synchronization for Uplink NB-IoT. - Fayçal Aït Aoudia; Jakob Hoydis; Sebastian Cammerer; Matthijs Van Keirsbilck; Alexander Keller 001 (GLOBECOM, 2022)

Graph Neural Networks for Channel Decoding. - Sebastian Cammerer; Jakob Hoydis; Fayçal Aït Aoudia; Alexander Keller 001 (GLOBECOM (Workshops), 2022)

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. - Dani Korpi; Mikko Honkala; Janne M. J. Huttunen; Fayçal Ait Aoudia; Jakob Hoydis (CoRR, 2022)

Sionna: An Open-Source Library for Next-Generation Physical Layer Research. - Jakob Hoydis; Sebastian Cammerer; Fayçal Ait Aoudia; Avinash Vem; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (CoRR, 2022)

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding. - Qiyu Hu; Yunlong Cai; Kai Kang; Guanding Yu; Jakob Hoydis; Yonina C. Eldar (IEEE J. Sel. Areas Commun., 2022)

Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming. - Kai Kang; Qiyu Hu; Yunlong Cai; Guanding Yu; Jakob Hoydis; Yonina C. Eldar (IEEE J. Sel. Areas Commun., 2022)

The Fifth Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar M. H. Elmirghani (IEEE J. Sel. Areas Commun., 2022)

Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar Mohamed Hashim Elmirghani (IEEE J. Sel. Areas Commun., 2022)

Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks. - Geoffrey Ye Li; Walid Saad; Ayfer Özgür; Peter Kairouz; Zhijin Qin; Jakob Hoydis; Zhu Han 001; Deniz Gündüz; Jaafar M. H. Elmirghani (IEEE J. Sel. Areas Commun., 2022)

Waveform Learning for Next-Generation Wireless Communication Systems. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE Trans. Commun., 2022)

End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. - Fayçal Ait Aoudia; Jakob Hoydis (IEEE Trans. Wirel. Commun., 2022)

A Neural Receiver for 5G NR Multi-User MIMO. - Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Andreas Oeldemann; Andreas Roessler; Timo Mayer; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. - Jakob Hoydis; Fayçal Ait Aoudia; Sebastian Cammerer; Merlin Nimier-David; Nikolaus Binder; Guillermo Marcus; Alexander Keller 001 (GLOBECOM (Workshops), 2023)

Learning Radio Environments by Differentiable Ray Tracing. - Jakob Hoydis; Fayçal Aït Aoudia; Sebastian Cammerer; Florian Euchner; Merlin Nimier-David; Stephan ten Brink; Alexander Keller 001 (CoRR, 2023)

Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates. - Clement Ruah; Osvaldo Simeone; Jakob Hoydis; Bashir M. Al-Hashimi (CoRR, 2023)

Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications. - K. Pavan Srinath; Jakob Hoydis (IEEE Trans. Wirel. Commun., 2023)

Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory. - K. Pavan Srinath; Jakob Hoydis (IEEE Trans. Wirel. Commun., 2023)

Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR. - Reinhard Wiesmayr; Sebastian Cammerer; Fayçal Aït Aoudia; Jakob Hoydis; Jakub Zakrzewski 003; Alexander Keller 001 (CoRR, 2024)

Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems. - Pengzhi Huang; Emre Gönültas; Maximilian Arnold; K. Pavan Srinath; Jakob Hoydis; Christoph Studer (IEEE Trans. Wirel. Commun., 2024)

Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations. - Roberto Pegurri; Eugenio Moro; Francesco Linsalata; Jakob Hoydis; Umberto Spagnolini (WCNC, 2025)

Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-RAT Networks Simulations. - Roberto Pegurri; Francesco Linsalata; Eugenio Moro; Jakob Hoydis; Umberto Spagnolini (CoRR, 2025)

Sionna RT: Technical Report. - Fayçal Aït Aoudia; Jakob Hoydis; Merlin Nimier-David; Sebastian Cammerer; Alexander Keller 001 (CoRR, 2025)

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN. - Sebastian Cammerer; Guillermo Marcus; Tobias Zirr; Fayçal Aït Aoudia; Lorenzo Maggi; Jakob Hoydis; Alexander Keller 001 (CoRR, 2025)