PhD - Leuven | Just now
The upper mid-band or FR3 spectrum (approximately 7–24 GHz) is emerging as an important candidate for future wireless systems, combining access to wider bandwidths with more favorable propagation than traditional millimeter-wave frequencies. Exploiting this spectrum efficiently will, however, require large antenna arrays and potentially many RF chains, creating significant challenges in hardware complexity and energy consumption. This band offers a promising trade-off between additional capacity and sufficient coverage, but it also brings many research challenges:
Simultaneously to the FR3 emergence, thousands of communication satellites are being launched, offering direct user connectivity by complementing the ground base stations with non-terrestrial networks (NTN) to support increasing traffic and serve poorly or unconnected areas. While satellites initially employ lower frequencies below 3 GHz, future generations will progressively consider the FR3 band for increased capacity. This brings specific challenges:
As a PhD student, you will seek fundamental understanding and propose novel solutions related to those challenges. You will understand the differences in channel propagation and hardware implementation constraints in NTN context across the FR3 band. You will propose novel transceiver architectures and communication algorithms offering flexibility while optimizing power-performance trade-offs. AI tools may complement model-based design to guide the selection and optimization of a different architectures for each specific use case. The proposed concepts will be implemented and evaluated using experimental FR3 multi-antenna platforms and site-specific channel measurements.
You will be part of a large imec community working on the research, implementation and prototyping of future communications systems with experts in wireless communication, signal processing, digital, analog and mm-wave design, and machine learning. This is a unique opportunity to develop innovative, multi-disciplinary technology and shape future wireless networks. You will publish your research in top-level journals and conferences
Required background: Electrical engineer with expertise in wireless communications and signal processing. Knowledge of channel modelling and hardware implementation constraints is a plus. Proficiency with Matlab or Python.
Type of work: 20% literature and theory, 60% modelling and simulation, 20% design/experimental
Supervisor: Sofie Pollin (KU Leuven)
Co-supervisor: Sofie Pollin (KU Leuven)
Daily advisor: Claude Desset
The reference code for this position is 2027-167. Mention this reference code in your application.