Public defence in Signal Processing for Communications, M.Sc. Mohsen Abedi

The title of the thesis: Planning of wireless networks for 5G/6G applications 

Doctoral student: M.Sc. Mohsen Abedi
Opponents: Prof. Marcos Katz, University of Oulu
Custos: Prof. Risto Wichman, Aalto University School of Electrical Engineering, Department of Information and Communications Engineering 

In this dissertation, the focus is on improving the quality of wireless communication networks. An important factor that affects the quality of service of users, such as mobile phones, is the location of data transmitting antennas where the best signals can be received. It is a bold issue, especially since mobile users are dispersed in urban areas in a non-uniform manner, so there will be a greater number of transmitting antennas needed at hotspots such as stadiums and events with many mobile users, while fewer antennas will be needed at less crowded locations. This dissertation aims to develop a mathematical method that can determine the optimal locations for transmitting antennas to serve mobile users outdoors or indoors with varying service quality requirements and distributions. Robot and UAV trajectory optimization, sensor placement, relay placement, and security preservation are also relevant to this problem. 

As part of this dissertation, I developed mathematical models based on advanced geometry, graph theory, and advanced optimization methods in order to determine the minimum number of transmitting antennas and their exact locations. The methods provide a mathematical framework for solving placement problems that can be applied to a variety of fields, such as sensing network planning, positioning network planning, and clustering. Finally, the mathematical methods proposed in this dissertation have shown promising results in improving the efficiency of wireless communication systems, and it is anticipated that they will be useful in a wide range of research areas.

Keywords: Wireless communication, reference node deployment, capacity, coverage

Thesis available for public display 10 days prior to the defence at: https://aaltodoc.aalto.fi/doc_public/eonly/riiputus/

Contact information:

Doctoral theses in the School of Electrical Engineering: https://aaltodoc.aalto.fi/handle/123456789/53