Eduard Jorswieck

Full Professor

Technische Universität Braunschweig

Germany

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Articles (20)

Energy Efficient Operation of Adaptive Massive MIMO 5G HetNets

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Year:

2024

AI-Based Radio Resource Management and Trajectory Design for IRS-UAV-Assisted PD-NOMA Communication

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Year:

2024

Safety-Aware Age of Information (S-AoI) for Collision Risk Minimization in Cell-Free mMIMO Platooning Networks

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Year:

2024

Gaussian Broadcast Channels With Heterogeneous Finite Blocklength Constraints: Inner and Outer Bounds

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Year:

2024

Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-Assisted URLLC Systems

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Year:

2024

Second Order Rate Regions of Gaussian Broadcast Channels Under Heterogeneous Blocklength Constraints

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Year:

2024

AI-Based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization Under CSI Uncertainty

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Year:

2024

Implementation Insights of Robust Dynamic Spectrum Sharing for Heterogeneous Services in Non-Standalone 5G

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Year:

2024

Next-Generation Multiple Access: From Basic Principles to Modern Architectures

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Year:

2024

On the Reception Process of Molecular Communication-Based Drug Delivery

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Year:

2024

Arbitrarily Varying Wiretap Channels With Non-Causal Side Information at the Jammer

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Year:

2023

Molecular Communication Transmitter Design in Limited-Capacity Storage Regime

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Year:

2023

Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling

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Year:

2023

AI-Based Mobility-Aware Energy Efficient Resource Allocation and Trajectory Design for NFV Enabled Aerial Networks

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Year:

2023

Cross Layer Resource Allocation in H-CRAN With Spectrum and Energy Cooperation

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Year:

2023

A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions

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Year:

2023

AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties

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Year:

2023

AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning

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Year:

2023

Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning

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Year:

2023

Learning-Based Secret Key Generation in Relay Channels Under Adversarial Attacks

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Year:

2023

Collaborators (4)

Karl-Ludwig Besser

Assistant Professor

Linköping University

SWEDEN

Holger Boche

Technical University of Munich (TUM)

GERMANY

Thomas Kuerner

University Professor

Technische Universität Braunschweig

GERMANY

Elza Erkip

New York University

UNITED STATES

Eduard Jorswieck

Research Interests

Explore related searches

Contact this professor

Articles (20)

Energy Efficient Operation of Adaptive Massive MIMO 5G HetNets

AI-Based Radio Resource Management and Trajectory Design for IRS-UAV-Assisted PD-NOMA Communication

Safety-Aware Age of Information (S-AoI) for Collision Risk Minimization in Cell-Free mMIMO Platooning Networks

Gaussian Broadcast Channels With Heterogeneous Finite Blocklength Constraints: Inner and Outer Bounds

Optimization of Rate-Splitting Multiple Access in Beyond Diagonal RIS-Assisted URLLC Systems

Second Order Rate Regions of Gaussian Broadcast Channels Under Heterogeneous Blocklength Constraints

AI-Based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization Under CSI Uncertainty

Implementation Insights of Robust Dynamic Spectrum Sharing for Heterogeneous Services in Non-Standalone 5G

Next-Generation Multiple Access: From Basic Principles to Modern Architectures

On the Reception Process of Molecular Communication-Based Drug Delivery

Arbitrarily Varying Wiretap Channels With Non-Causal Side Information at the Jammer

Molecular Communication Transmitter Design in Limited-Capacity Storage Regime

Rate Splitting in MIMO RIS-Assisted Systems With Hardware Impairments and Improper Signaling

AI-Based Mobility-Aware Energy Efficient Resource Allocation and Trajectory Design for NFV Enabled Aerial Networks

Cross Layer Resource Allocation in H-CRAN With Spectrum and Energy Cooperation

A Primer on Rate-Splitting Multiple Access: Tutorial, Myths, and Frequently Asked Questions

AI-based Resource Allocation in End-to-End Network Slicing under Demand and CSI Uncertainties

AoI-Aware Resource Allocation for Platoon-Based C-V2X Networks via Multi-Agent Multi-Task Reinforcement Learning

Approaching Globally Optimal Energy Efficiency in Interference Networks via Machine Learning

Learning-Based Secret Key Generation in Relay Channels Under Adversarial Attacks

Collaborators (4)

Karl-Ludwig Besser

Holger Boche

Thomas Kuerner

Elza Erkip

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