Overview
- Date:Starts 29 April 2025, 09:00Ends 29 April 2025, 12:00
- Location:EDIT-EA Lecture Hall, Rännvägen 6B, Chalmers
- Opponent:Prof. Pierluigi SALVO ROSSI
- ThesisRead thesis (Opens in new tab)
Sixth-generation (6G) wireless networks aim to transform communication and localization by enabling precise positioning and seamless connectivity for advanced applications like autonomous systems, augmented reality, and smart cities. Technologies like massive multiple input multiple-output (MIMO), reconfigurable intelligent surface (RIS), and non-terrestrial networks (NTNs) play a critical role in achieving these objectives by addressing challenges in capacity, coverage, and synchronization in diverse environments.
This thesis investigates the use of massive MIMO technology to optimize communication architectures by analyzing the interplay between the number of antennas and quantizer resolution. This work identifies massive MIMO configurations that balance performance and complexity across varying signal- to-noise ratios (SNRs). The study contributes to the design of robust and scalable architectures for next-generation communication systems.
Moving on to the localization topic, this thesis also explores a frugal RIS- enabled localization and synchronization setup designed to provide precise positioning in cost-effective deployments. A scenario with one base station (BS) and two RISs is studied to localize a stationary user equipment (UE), despite the presence of an unknown carrier frequency offset (CFO) between the UE and the BS. This work highlights the potential of RIS technology to enhance localization accuracy and reduce infrastructure requirements.
Another emerging direction in localization is the use of NTNs, driven by their potential for large scale deployment. This thesis investigates an integrated LEO-cellular network for NTN-based localization and synchronization. A hybrid system with one BS and one low Earth orbit (LEO) satellite is analyzed to estimate the UE’s position, velocity, clock bias, and CFO under synchronization challenges. The results highlight NTN’s potential for robust localization in areas with limited terrestrial infrastructure.
By tackling key challenges in communication and localization, this thesis contributes to the design of efficient solutions for 6G networks, supporting their practical deployment in next generation wireless systems.
This thesis investigates the use of massive MIMO technology to optimize communication architectures by analyzing the interplay between the number of antennas and quantizer resolution. This work identifies massive MIMO configurations that balance performance and complexity across varying signal- to-noise ratios (SNRs). The study contributes to the design of robust and scalable architectures for next-generation communication systems.
Moving on to the localization topic, this thesis also explores a frugal RIS- enabled localization and synchronization setup designed to provide precise positioning in cost-effective deployments. A scenario with one base station (BS) and two RISs is studied to localize a stationary user equipment (UE), despite the presence of an unknown carrier frequency offset (CFO) between the UE and the BS. This work highlights the potential of RIS technology to enhance localization accuracy and reduce infrastructure requirements.
Another emerging direction in localization is the use of NTNs, driven by their potential for large scale deployment. This thesis investigates an integrated LEO-cellular network for NTN-based localization and synchronization. A hybrid system with one BS and one low Earth orbit (LEO) satellite is analyzed to estimate the UE’s position, velocity, clock bias, and CFO under synchronization challenges. The results highlight NTN’s potential for robust localization in areas with limited terrestrial infrastructure.
By tackling key challenges in communication and localization, this thesis contributes to the design of efficient solutions for 6G networks, supporting their practical deployment in next generation wireless systems.