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Master Thesis: Macro Offload Benefits from an Indoor Deployment at Ericsson
Stockholm, , Sweden -
Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Digital Communications, Signal Processing, MATLAB, Python, Wireless Communication Systems, Statistical Approach, Machine Learning

Industry

Telecommunications

Description
The analysis can be done by analyzing the real network data (performance management counters) and doing investigations by simulating in a state-of- the-art network simulator. The project is intended for one master thesis student and is expected to be performed in Kista for a duration of 6 months, starting in 2026 Q1. You should be a Master of Science student in Electrical Engineering, Computer/Data Science, or similar. Courses in digital communications and signal processing, as well as programming skills in MATLAB or Python are required. Experience of wireless communication systems, statistical approach and machine learning are valuable merits but are not required. Excellent grades Fluent in English, both written and spoken Experience with Statistical and Machine Learning approach is a bonus.
Responsibilities
The project involves analyzing real network data and simulating in a state-of-the-art network simulator. The goal is to investigate macro offload benefits from an indoor deployment.