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KI-5G

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KI-5G

AI-based Ressource Allocation for private 5G Networks

Duration:01.03.2021 - 30.06.2024
Project-Leader:Prof. Dr.-Ing. Horst Hellbrück
Staff:Dipl.-Ing. Fabian John, Domenic Hampf B.Sc.; formerly (Ole Sellhorn, M.Sc.)

Background

AI is a key technology that has the potential to have a lasting impact on and change entire industries.

The "Smart Service Welt" innovation report shows that mobile and dynamic wireless networks are being used more and more in industry and medical care in order to react quickly to changing environmental parameters. One new approach is the 5G mobile network, which also provides for local installations, so-called private 5G networks. In addition to the frequency bands, as with LTE, in the range from 600MHz to 6GHz, 5G also opens up completely new frequency bands above 24GHz with new challenges. The complex tasks and dynamic network configurations place increased demands on performance, reliability and the distribution of available communication resources. The use of AI methods is therefore a way of not only distributing communication resources better, but also making the highly dynamic system more reliable.

Objective

The objective of the project is to optimise private 5G networks with AI solutions so that the dynamic system behaviour is improved by AI-enriched transmission protocols and reliability is increased.

Approach

Resource allocation through established allocation algorithms (e.g. a division of the time or frequency range, through distinguishable codes or location-dependent) can be optimally tailored to the requirements of 5G applications with the help of AI algorithms. AI solutions have not yet been used in mobile networks. Preliminary investigations have shown that AI methods are suitable for estimating or predicting process sequences in advance. This makes it possible to start critical processes in a more targeted manner if required and to optimise communication. The effectiveness of this support is being demonstrated in a test field in Schleswig-Holstein.

 

Results

5G SA indoor Testbed

To investigate AI algorithms in 5G networks, we have set up a private 5G standalone (SA) network at the CoSA at the Technische Hochschule Lübeck. Our system is based on open source software, standard PC hardware components and software defined radios (SDR).

We have documented the construction of our private 5G SA network in detail (GIT repository) and our paper on the reference deployment of a minimal open source 5G SA system was presented and published at the ICICN conference in Zhangye 2022[1]. In our indoor 5G testbed, we are exploring new algorithms for efficient resource allocation in 5G networks, demonstrating 5G applications, testing new 5G devices and transferring our 5G knowledge to industry and education. You can find an overview of the equipment in our 5G Lab in the following table:

Hardware

Typ

Device

Quantity

Software-Defined-Radio

N310

2

X300/310

1/1

B210

2

B205 mini

4

Desktop PC

Fujitsu Siemens 6-Core CPU

2

ROG Intel i712900KS 8-Core CPU

2

HP Z4 Intel i7 4-Core CPU

2

5G system

Amarisoft Callbox

1

Mecsware

1

5G end devices

Google Pixel 4a 5G

1

Samsung Galaxy S21

1

Quectel RM500Q-GL

4

Simcom Modem

4

 

Software

5G-Core

OpenAirInterface

Open5GS

RAN

OpenairInterface

SRSRan


[1] A Reference Deployment of a Minimal Open-Source Private Industry and Campus 5G Standalone (SA) System (PDF - Authors Manuscript)
Fabian John and Jörg Schuljak and Lars B. Vosteen and Björn Sievers and Andreas Hanemann and Horst Hellbrück
ICICN 2022: Zhangye, 1--9, 2022.
[2] Practical Security Analysis and Measures for 5G Private Industrial Standalone (SA) Deployments
Lars Vosteen, Fabian John, Jörg Schuljak, Björn Sievers, Andreas Hanemann, and Horst Hellbrück
26. VDE/ITG Fachtagung Mobilkommunikation, Osnabrück, Deutschland, 1--6, 2022.

Founded by

Staatskanzlei des Landes Schleswig-Holstein

Förderkennzeichen: 220 21 005

Informationen

  • Anfahrt
  • Impressum
  • Datenschutz

Postadresse

Technische Hochschule Lübeck
Kompetenzzentrum CoSA
Fachbereich Elektrotechnik & Informatik
Mönkhofer Weg 239
23562 Lübeck

 

 

Besucheradresse

Kompetenzzentrum CoSA
Kommunikation - Systeme - Anwendungen
2. OG des Gebäudes 18
Bessemer Straße 3
23562 Lübeck

Telefon: +49 (0) 451 300-5609
cosa-projektkoordination(at)th-luebeck.de


© 2025 cosa | Gestaltung und Umsetzung: PARROT MEDIA Werbeagentur Lübeck
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