Job
- Level
- Junior
- Job Field
- Software
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop accurate models for Wi-Fi channel throughput capacity, account for environmental factors, and create an incremental learning architecture for dynamic scenario adaptation.
Job Technologies
Your role in the team
- Develop accurate and efficient models for throughput capacity of Wi-Fi communication channels, addressing the fact that measured throughput can vary by more than 30% due to environmental factors and interference, and that current packet-based probing mechanisms achieve below 50% accuracy in dynamic scenarios.
- Design an online incremental training and learning architecture capable of handling diverse access points and stations, varied building layouts (wall penetration, multipath reflection), environmental changes, and interference - the vast number of possible combinations necessitates online adaptation rather than static pre-computation.
- Investigate the limitations of current channel information acquisition under Wi-Fi standard protocols and chip design constraints, including Null Data.
- Address MIMO transmission constraints.
- Validate the solution through simulation based on Huawei-specified protocols and use cases, followed by verification on Huawei's actual use cases.
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Our expectations of you
Qualifications
- Student in Electrical, Electronic, Communications Engineering, Computer Science, or related fields.
- Knowledge of wireless communication systems, particularly Wi-Fi (IEEE 802.11ax/be) PHY and MAC layer concepts (OFDM, MIMO, channel sounding, NDP, CSI feedback, link adaptation).
- Understanding of throughput analysis and channel capacity fundamentals, including the impact of MCS, channel bandwidth, spatial streams, and packet aggregation on effective throughput.
- Good programming skills in at least Python or C/C++ or industry-standard simulation tools.
- Must be eligible to work in the European Union to be considered for this position.
- Fluent in English (written and oral).
Experience
- Experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow) and online/incremental learning techniques.
- Experience with network simulation tools (such as NS3, OMNeT++, etc.) is a plus.
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What we offer
- Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
- We offer healthy meals ranging from traditional Chinese to Western delicacies in our famous company canteen.
- To keep your development ongoing, you will find a broad range of training opportunities.
- Many online and face-to-face training programs including language courses in German and Mandarin.
- Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
- Self-responsible work in a competent, motivated and constantly growing team.
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Topics You Will Work On
Job Locations
About Your Employer
Huawei
At Huawei, we are committed to providing the best possible information and communication technology (ICT) solutions to our customers around the world. Through our tireless efforts, continuous innovation, and open collaboration, we have built up a comprehensive ICT portfolio that includes end-to-end solutions for telecommunications networks and devices, as well as enterprise cloud technology and services. With Huawei, you can be confident that you are getting the very best in ICT solutions and support.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Electronics, Automatization, Internet, IT, Telecommunication
Master student for Wi-Fi throughput capacity modeling
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
