Bachelor Thesis: AI-Assisted Rx Selection for 6G MIMO
Core
Investigate when advanced AI-assisted receivers outperform conventional ones for 5G/6G MIMO demodulation and train a classifier to predict the optimal receiver choice.
Role type
Bachelor Thesis Researcher (Wireless Communications & AI)
Builds
A data-driven decision model for receiver selection in mobile networks
Domain
Telecommunications (5G/6G) + Machine Learning
Deliverable
research
Required skills
Python, data analysis (pandas, numpy, matplotlib), machine learning (classification, decision trees, cross-validation), signal processing concepts (MIMO, SNR, Doppler spread)
Preferred skills
Engineering Mathematics or Computer Science background, curiosity about wireless communications
Technologies
Python, pandas, numpy, matplotlib, physical layer simulator
