PhD - Leuven | More than two weeks ago
You will design the fastest and most energy-efficient wireless communication systems of the future
Over the last decades, wireless communications have undergone an exponential growth, providing an ever-increasing throughput thanks to higher bandwidth, spatial multiplexing, and improved implementation of high-speed communication schemes. Future systems aim at speeds of 100 Gbps or more. This requires disruptive solutions, and one key ingredient is to consider carrier frequencies above 100 GHz where a broad spectrum is available and large multiple-antenna systems can be integrated within small dimensions.
The research community worldwide and imec in particular are investigating multiple aspects of future high-throughput systems, including hybrid MIMO algorithms and architectures (combining analog beamforming and digital precoding), advanced semiconductor technologies for high-efficiency components, and robust solutions dealing with analog non-idealities and mobility challenges.
In this PhD, we want to improve the digital implementation of high-throughput systems and investigate how far this direction can be pushed, by tacking the following aspects:
Solutions allowing efficient digital implementations over a bandwidth of up to 10 GHz, including pipelining and parallelization options
Trade-offs in algorithm selection, refinement, quantization and implementation, for the key building blocks (equalization, MIMO processing, filtering, synchronization and channel estimation, compensation of non-idealities, mobility tracking, ...)
Joint optimization of performance (BER vs. SNR, peak throughput) and DSP cost (complexity, power consumption, area)
Efficient power-saving modes at reduced load
Exploration of long-term directions and related challenges in order to reach 300 GHz, consider full-duplex links, or merge with intelligent reflective surfaces
This PhD will build on imec's experience of high-throughput mm-wave communication systems and identify the key components to optimize based on state-of-the-art literature and assessment of complexity and performance of candidate DSP solutions. The work will combine Matlab-based performance simulation with digital design steps in order to validate speed, energy and complexity. This research may be combined with experiments and measurements on a communication testbed.
Required background: Electrical Engineering, Digital Signal Processing for Communications
Type of work: 10% literature/theory, 60% modelling/simulation, 30% design/experimental
Supervisor: Sofie Pollin
Daily advisor: Claude Desset
The reference code for this position is 2022-065. Mention this reference code on your application form.