Job Description

Join our Team

About this opportunity

We are looking for master thesis students who want to explore how periodic and aperiodic SRS resources can be allocated efficiently for MU-MIMO under varying traffic load, UE capabilities, mobility, and TDD configurations. SRS resources are critical for channel estimation and MU-MIMO performance, but SRS capacity can become a bottleneck when many UEs require measurements.

This thesis investigates when mixed periodic and aperiodic SRS operation can outperform using either mode alone. The work is closely aligned with current SRS-capacity challenges and mixed-mode development, with a focus on improving SRS utilization, MU-MIMO layers, throughput, and spectral efficiency.

What you will do

• Evaluate how periodic and aperiodic SRS resources should be shared under different traffic loads, UE capabilities, mobility conditions, and TDD configurations.
• Study when mixed P-SRS/AP-SRS operation outperforms either mode alone.
• Investigate prioritization strategies when SRS capacity is exhausted.
• Analyze the impact on SRS utilization, RAT MU-MIMO layers, throughput, and spectral efficiency.
• Design and evaluate experiments using relevant simulation, trace, counter, or log data.

The skills you bring

• MSc studies in wireless communications, telecommunications, signal processing, computer engineering, or a related field.
• Solid understanding of 4G/5G NR radio concepts, TDD, uplink and downlink channels, MIMO, beamforming, precoding, CSI, channel estimation, SRS, and DMRS.
• Understanding of link adaptation and channel measurement parameters such as CQI, RI, MCS, SINR, and BLER.
• Ability to read technical specifications and internal design documents.
• Good Python skills for data processing, visualization, and experimentation.
• Excellent Java skills if Redhawk is used for simulation.
• Linux and Git experience.
• Ability to design experiments, analyze logs, and document results clearly.
• Familiarity with GenAI tools for coding and verification.