Bachelor and Master Theses

To apply for conducting this thesis, please contact the thesis supervisor(s).
Title: A comprehensive study of 5G network based on a new OMNeT++ system level simulator
Subject: Computer science
Level: Advanced
Description: In this thesis the students will have to investigate the new features of 5G RAN using the well-known discrete-event simulation framework named OMNeT++.
The fifth generation (5G) can provide flexibility and scalability. It supports real-time applications by using one of its services named Ultra-Reliable Low Latency Communication (URLLC). Enhanced mobile broadband and massive machine type communication are two other services of 5G, which can be useful for industrial IoT use cases. This thesis will focus on URLLC. URLLS is one of the fourth industrial revolution’s technological drivers, alongside other technologies such as artificial intelligence, genetic engineering, 3D printing, quantum computing, the Internet of Things, and robotics. With URLLC capabilities, 5G can achieve latency down to 1 ms and reliability up to 99.9999%, providing ultra-low latency to mission critical applications, industrial automation, autonomous driving, and remote medical assistance. Smart factories of the future with automated production systems featuring robots and Automated Guided Vehicles (AGVs) will be driven in large part by 5G connectivity. An example is Ericsson and Audi, who are stepping up their 5G collaboration by URLLC capabilities for factory automation at the car manufacturer’s P-Labs facility in Germany.

The OMNeT++ architecture is based on models which are built from modules connected via gates. The modules are written in C++. Simu5G is a new OMNeT++-based model library to simulate 5G network. It provides a collection of models with well-defined interfaces to simulate the data plane of 5G radio access network and core network.

Goals

• Study and review of the existing simulation tool called Omnet++
• Investigation of the newly released Simu5G library for the simulation of 5G network
• Investigation on Ultra-Reliable Low-Latency Communication (URLLC) mode for 5G
network
• Investigation of URLLC inside Simu5G library
• What are the limitations and challenges of using Simu5G


References

Feng, D., Lai, L., Luo, J. et al., ‘‘Ultra-reliable and low-latency communica-tions: applications, opportunities and challenges’’, Sci. China Inf. Sci. 64, 120301 (2021).

A. Ghosh, A. Maeder, M. Baker, and D. Chandramouli, “5G Evolution: A Viewon 5G Cellular Technology Beyond 3GPP Release 15,”IEEE Ac-cess, vol. 7, pp.127 639–127 651, 2019.

3GPP TS 23.501, "System Architecture for the 5G System", v. 16.5.1.

[Online]. Available, https://www.ericsson.com/en/news/2020/2/5g-for-factory-automation

G. Nardini, D. Sabella, G. Stea, P. Thakkar, A. Virdis "Simu5G – An OMNeT++ library for end-to-end performance evaluation of 5G networks", IEEE Access (2020).

[Online]. Available, http://simu5g.org/index.html




Supervisor(s): Zenepe Satka, Mohammad Ashjaei
Examiner: Saad Mubeen
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Prerequisites: Possible for 1 or 2 students with good knowledge in Embedded Real-Time Systems, and good programming skills
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