Bachelor and Master Theses

In our rapidly evolving digital landscape, the surge in internet-connected devices and the demand for high-performance applications are reshaping industries. Warehousing operations are modernizing, and autonomous technologies are being integrated into various sectors. While meeting these performance requirements is crucial, simply enhancing device hardware is not always a cost-efficient solution. Our proposal focuses on an innovative approach to address this challenge: the development of an offloading framework for edge devices over private 5G networks. By shifting data and computational tasks from individual end devices to powerful edge servers, we can enable small devices to run high-performance applications without the need for expensive hardware.

This thesis research explores into two key aspects within the defined scope. First, it explores the intricacies of data and computation offloading to the edge network, ensuring efficient resource allocation. Second, it investigates the dynamic movement of the physical end device between edge nodes, optimizing response times.

Research Objectives:

• To investigate methods for optimizing data and computation offloading in private network environments.
•  To develop an offloading framework that efficiently transfers data and computational tasks from edge devices to an edge server.
• To explore techniques for managing the movement of physical end devices within a private network.
• To assess the performance and feasibility of offloading solutions using a combination of Wi-Fi and simulated 5G networks, with consideration for practical implementations in private 5G networks.

• Prospective students should possess a strong background in computer science, network engineering, and embedded systems.
•  Proficiency in programming languages such as C, python (machine learning tools) and familiarity with Ubuntu is essential for successful engagement with this research.

This research opportunity is ideal for two students with a background in computer science, computer engineering, or a related field. Proficiency in programming languages, particularly for network and system optimization, is essential. Familiarity with networking protocols and simulation tools will be advantageous.

Addiva Elektronik Prof. Johan Åkerberg