Non Public 5G Networks

A 5G Non-Public-Network (5G NPN) consists of different components which are all available in the testbed. The first component is the user equipment (UE), this is most easily described as a smartphone with a SIM-Card. The SIM-Card is the identifier and cryptographic device, required to access the network. Via cellular technology the user equipment connects to the 5G base station, where one or multiple cells can be deployed. The 5G base station consists of two primary components: the Radio Access Network (RAN) and the Core Network (CN). The RAN can utilize either commercially available hardware (COTS) or application-specific integrated circuits (ASICs). In contrast, the CN exclusively employs COTS hardware across all testbeds. The CN encompasses various network functions, including authentication and mobility management, session management, user data management, policy control, and the gateway to other data networks.

Wireless Meshed Networks

Wireless Mesh Networks (WMNs) enable devices with radio capabilities to communicate with each other directly. Such networks are based on opportunity instead of planning: devices detect the existing network on their own and connect to it without further configuration. Therefore, WMNs provide flexibility and are easy to extend.

Our private 5G testbed is categorized into two main areas. The first is a university-wide 5G non-public network (NPN) that leverages commercially available hardware and software, ensuring continuous stability. This network facilitates application testing and interworking between 5G and other systems. Given its role as integral infrastructure, updates are solely installed by the central operator.
All components are interconnected to a central server hosting the 5G CN, GeniusCore.
The second category comprises lab testbeds within the ComNets Chair. These testbeds feature diverse hardware and software components to support individual 5G NPNs. They enable interoperability testing and measurements. Multiple legacy RAN systems are available, including Nokia and Huawei, which have been verified for interoperability with Open5GS (Open Source 5G-CN), GeniusCore, and OpenAirInterface CN (Open Source 5G-CN). Ericsson RAN is exclusively compatible with an Ericsson Core.

In addition to legacy RAN, O-RAN-based testbeds are also present. While legacy RAN is proprietary, O-RAN adheres to an open interface standard, promoting interoperability. O-RAN often operates fully virtualized on COTS hardware. Legacy RAN is disaggregated into three components: Radio Unit (RU), Distributed Unit (DU), and Central Unit (CU) with open interfaces between them. The testbed employs COTS servers to execute the CU and DU, thereby reducing costs. Multiple disaggregated O-RAN systems are integrated into the testbed. One is a commercial system from AirSpan, while the others are open-source projects: OpenAirInterface and srsRAN Project.
For integration testing, All-In-One Small Cells are available. These compact and easy-to-operate gNBs can be quickly deployed due to their simplified operation compared to legacy systems or disaggregated O-RAN. Vendors within the testbed include: AirSpan Airvelocity n78 (2T2R), T&W/Node-H small Cell n78 (2T2R), LiteOn FlexFI n78 (4T4R), and NI USRP N310.

This testbed is build with a Nokia Radio A Consicess Network with five sites. The sites have the following Equipment:

Site 1: 1 x Nokia ASIL Systemunit, 2 x Nokia ABIO Baseband; 2 x Nokia AEQE n78 Antenna (64T64R mmMIMO), 1 x Nokia AWEUC mmWave (n258) Antenna (2T2R)
Site 2: 1 x Nokia ASIL Systemunit, 1 x Nokia ABIO Baseband; 2 x Nokia AEQE n78 Antenna (64T64R mmMIMO)
Site 3 and 4: 1 x Nokia ASIL Systemunit, 1 x Nokia ABIO Baseband; 2 x Nokia AWHQF n78 Antenna (4T4R)
Site 5: 1 x ASOE System and Basebandunit, 2 x AZQJ n78 Antenna (8T8R)

They are all connected to a central server, where the 5G-Core, GeniusCore is hosted.

The second is the lab testbed at the ComNets Chair. Here we have different Hard- and Software Components to run a private 5G network, based on different release. Here interoperability tests and measurements can be performed.

There are several classical RAN Systems available. Nokia and Huawei have been tested and verified to be interoperable with the Open5GS (Open Source 5G-Core); the GeniusCore and the OpenAirInterace 5G-Core (Open Source 5G-Core). Ericsson RAN is only compatible to an Ericsson Core.
The following classical cellular systems are at the chair:

Nokia; ASIK Systemunit, ABIL Baseband, AZQH Radio, 2 x Indoor Airscale Hub and 8 x AWHQB Indoor Small Cell n78 (4T4T); 4 x AWHQK Indoor Small Cell n78 (4T4R)
ASIL Systemunit, ABIO Basebandunit,

Ericsson 5G NSA System: Baseband 6630; Dell Server for 4G and 5G Ericsson Core, Radio 2212, Radio 8823, Indoor Radio Uni, Ericsson Indoor Small Cell

Ericsson 5G SA System (Industry Connect): Network Controller, Dot 4479, IRU, Micro Radio 4408 n78 (4T4R)

Huawei: Basestation 5900; Radio RRU5836E n78 (4T4R); pRRU5935 3.7G n78 (4T4R); Indoor Radio Hub

Besides classical RAN there are also O-RAN Solutions available in the Testbed. While classical RAN is proprietary, O-RAN is mostly software based and supposed to be interoperable. The classical basestation gets disaggregated into three components: RU, DU, CU with open interfaces between them. The CU and DU are supposed to be executed on COTS servers; thus, reducing costs.

There are two disaggregated O-RAN Systems in the testbed. One is the commercial system from AirSpan, the other one is the open source project of OpenAirInterface.

For quick PoC there are All-In-One Small Cells available. They are a small, easy to operate gNB and can be set up quickly as they are less complex than classical systems or disaggregated O-RAN. Vendors in the Testbed are: AirSpan Airvelocity n78 (2T2R), T&W/Node-H small Cell n78 (2T2R), LiteOn FlexFI n78 (4T4R)

Testbed Used in Publications

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2025

Notcker,; Scotece, Domenico; Bassoli, Riccardo; Foschini, Luca; Fitzek, Frank H. P.

A Quantum Traffic Engineering Framework for Optimizing Quantum Link Delay Proceedings Article

In: IEEE Global Communications Conference (IEEE Globecom), pp. 5.95, Taipei, Taiwan, 2025.

BibTeX

Notcker, Joachim; Scotece, Domenico; Bassoli, Riccardo; Foschini, Luca; Fitzek, Frank H. P.

Modeling and Analysis of Quantum Traffic Matrices in Quantum Networks Proceedings Article

In: IEEE Global Communications Conference (Globecom), pp. 5.98, Taipei, Taiwan, 2025.

BibTeX

Zheng, Ruifeng; Zhou, Pengjie; Hofmann, Pit; Cabrera, Juan A.; Fitzek, Frank H. P.

DNA-Based Molecular Communication: A Markov Approach to Channel Modeling and Detection Proceedings Article

In: IEEE Global Communications Conference (Globecom), 2025.

BibTeX

Hajizade, Azita; Bassoli, Riccardo; Fitzek, Frank H. P.

Hybrid Quantum-Classical Computers: A Critical Analysis to Quantum Computational Models Proceedings Article

In: IEEE Future Networks World Forum (FNWF), pp. 6, Bangalore, India, 2025.

BibTeX

Ghadimi, Milad; Nande, Swaraj Shekhar; Nazari, Hosein K.; Bassoli, Riccardo; Fitzek, Frank H. P.

Enhancing Quantum Key Distribution with Quantum Projective Simulation Proceedings Article

In: IEEE Future Networks World Forum (FNWF), pp. 6, Bangalore, India, 2025.

BibTeX

Habibie, Muhammad Idham; Nande, Swaraj Shekhar; Barhoumi, Mohamed; Bassoli, Riccardo; Fitzek, Frank H. P.

Time Error Budget Measurement of the Quantum Synchronization Proceedings Article

In: IEEE 11th World Forum on Internet of Things (WF-IoT), pp. 5.91, Chengdu, China, 2025.

BibTeX

Wang, Yingjian; Bassoli, Riccardo; Fitzek, Frank H. P.

Charge-and-Secure: a Spatiotemporally Decoupled CV-QKD Architecture for Mission-Critical IoT Proceedings Article

In: IEEE World Forum on Internet of Things (WF-IoT), pp. 5.97, Chengdu, China, 2025.

BibTeX

Hofer, Johannes; Hofe, Nico; Seeling, Patrick; Reisslein, Martin; Nguyen, Giang T.; Fitzek, Frank H. P.

Research Agenda for Reducing Feature Descriptor Sizes in Networked Visual-SLAM Journal Article

In: IEEE JSAC SI on Intelligent Communications for Real-Time Computer Vision, pp. 27, 2025.

BibTeX

Bayleyegn, Abebu Ademe; Njoku, Buniechukwu; Nande, Swaraj Shekhar; Sekavčnik, Simon; Bassoli, Riccardo; Fitzek, Frank H. P.

Design Tradeoffs for Quantum Time Synchronization in Future Industrial Networks under Classical Channel Latency and Security Proceedings Article

In: International Conference on Consumer Electronics - Berlin (ICCE-Berlin), pp. 6, Berlin, Germany, 2025.

BibTeX

Rosenberger, Johannes; Boche, Holger; Cabrera, Juan A.; Deppe, Christian

Towards a Compositional Theory of Channels that Preserve Functions Proceedings Article

In: IEEE Information Theory Workshop (ITW), pp. 5.79, Sydney, Australia, 2025.

BibTeX

1191 entries « 1 of 120 »

Testbed Used in Publications

Patrick Enenche; Osel Lhamo; Tung V. Doan; Mahdi Attawna; Giang T. Nguyen; Dongho You; Frank H. P. Fitzek

Improving Network Latency in RLNC-enabled Cloud-native 5G and Beyond: A Comparative Evaluation in Handling Data Traffic

In: IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.

Patrick Enenche; Osel Lhamo; Tung V. Doan; Mahdi Attawna; Giang T. Nguyen; Dongho You; Frank H. P. Fitzek

Improving Network Latency in RLNC-enabled Cloud-native 5G and Beyond: A Comparative Evaluation in Handling Data Traffic

In: IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.

Patrick Enenche; Osel Lhamo; Tung V. Doan; Mahdi Attawna; Giang T. Nguyen; Dongho You; Frank H. P. Fitzek

Improving Network Latency in RLNC-enabled Cloud-native 5G and Beyond: A Comparative Evaluation in Handling Data Traffic

In: IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.

Patrick Enenche; Osel Lhamo; Tung V. Doan; Mahdi Attawna; Giang T. Nguyen; Dongho You; Frank H. P. Fitzek

Improving Network Latency in RLNC-enabled Cloud-native 5G and Beyond: A Comparative Evaluation in Handling Data Traffic

In: IEEE International Conference on Communications (ICC), Montreal, Canada, 2025.

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Interested students may contact us directly or write an email to Dr.-Ing. Rico Radeke or the respective supervisors.

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