Master Thesis: Quality of Service for AI Token Traffic in 6G Networks
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Science
In short
Responsibilities
- Review current state of the art in AI traffic characterization and 3GPP QoS mechanisms.
- Characterize traffic patterns of token traffic generated by different AI services.
- Develop or extend simulations to model AI token traffic over a mobile network.
- Evaluate how existing QoS mechanisms perform for this traffic class and identify potential gaps.
Requirements
- Student in electrical engineering, computer science, computer engineering, or similar.
- Understanding of mobile network architecture (4G/5G) and QoS concepts.
- Familiarity with machine learning concepts, particularly large language models.
- Programming experience in Python.
- Interest in 3GPP standardization and telecom research.
Desired Qualifications
- Experience with C++ is a plus.
Benefits
- 30hp thesis work
- Gain insights into AI traffic characteristics and QoS in future mobile networks.
Skills
About Ericsson
Pioneering technology for connecting billions of people worldwide
Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible
Company
EricssonJob Posted
2 days ago
Employment Type
Internship
Work mode
On Site
Experience Level
Student
Locations
Stockholm, Sweden
Qualification
Applicants
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