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Master Thesis: Design and Evaluation of Closed-Loop RAN Operation within a at Ericsson

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++ Programming, Network Systems, Machine Learning

Industry

Telecommunications

Description

Join our Team About this opportunity: This Master's Thesis project will be hosted by Ericsson Research in Kista and will be part of an international team of world-class researchers with different backgrounds, experiences, with a specialization in Machine Learning and network security. The project will focus on developing and evaluating an xApp within the ns3-oran platform to optimize a specific RAN function (e.g., load balancing, handover, or slicing), comparing it's performance against baseline heuristics. What you will do: Implementation of a simple xApp within the ns3-oran framework. Implementation of control actions to support decision loops. Performance comparison between AI/ML-based xApp and static or rule-based controllers. Assessing trade-offs between responsiveness and stability in RAN control. The skills you will bring: We are looking for a student currently enrolled in a master program in computer science or a related field. C++ programming skills is required. A good understanding of Network Systems. A good understanding of Machine Learning. Application: Please submit your application with a resume and academic transcripts from both your BSc and your MSc.

Responsibilities

The project involves the implementation of a simple xApp within the ns3-oran framework and the performance comparison between AI/ML-based xApp and static or rule-based controllers. Additionally, it includes assessing trade-offs between responsiveness and stability in RAN control.