Machine learning-enabled fast and hybrid mmWave beam tracking

Location
KU LEUVEN (Leuven University), Belgium
Salary
Competitive
Posted
Sep 11, 2019
Closes
Oct 11, 2019
Ref
ESR2
Contract Type
Full Time
Job Type
Developer
Desirable skills/interests: signal processing, optimization, machine learning, programming & implementation skills (the applicant should be proficient in at least one or two of the skills)

Objectives:

To extract multidimensional (time, frequency, space) statistics from high-resolution channel measurements;

To design a low complexity mmWave hybrid beamforming antenna and a beam tracking algorithm for realistic channels using machine learning approaches.