Master Thesis: Estimating End-User Impact of Radio Network Outages
Ericsson ABNy
Sammanfattning
This thesis opportunity focuses on developing a data-driven method to estimate the impact of Radio Access Network outages on end users. Located in Linköping, Sweden, the role involves defining user impact indicators, analyzing traffic absorption by neighboring cells, and validating methods using network simulations. Candidates will engage in a collaborative environment at Ericsson, leveraging machine learning and analytical skills to improve network outage monitoring.Det här erbjuder vi
Opportunity to work on innovative solutions to complex problems.Collaborative and diverse team environment.Encouragement of diverse and inclusive workplace culture.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-03
Beskrivning
Join our Team
About this opportunity:
Radio Access Networks are essential for reliable mobile connectivity. However, radio cells or sites can become unavailable due to hardware or software faults, upgrades, power failures, or transport issues.
Estimating how an outage affects end users is challenging. Some users may reconnect to neighboring cells, while others may lose service or experience reduced performance because of increased traffic and congestion in surrounding cells.
The purpose of this thesis is to develop and evaluate a data-driven method for estimating the impact of Radio Access Network outages on end users. The results may support improved incident prioritization, redundancy planning, network development, and outage monitoring. Machine learning may be used as part of the solution.
What you will do:
The skills you bring:
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791320
About this opportunity:
Radio Access Networks are essential for reliable mobile connectivity. However, radio cells or sites can become unavailable due to hardware or software faults, upgrades, power failures, or transport issues.
Estimating how an outage affects end users is challenging. Some users may reconnect to neighboring cells, while others may lose service or experience reduced performance because of increased traffic and congestion in surrounding cells.
The purpose of this thesis is to develop and evaluate a data-driven method for estimating the impact of Radio Access Network outages on end users. The results may support improved incident prioritization, redundancy planning, network development, and outage monitoring. Machine learning may be used as part of the solution.
What you will do:
- Define measurable indicators of user impact, including loss of service, reconnection to neighboring cells, and degraded performance.
- Identify neighboring cells that absorb traffic from an affected cell using mobility statistics, handover data, and outage measurements.
- Estimate the impact on users connected to the affected cell as well as users in neighboring cells affected by increased traffic or congestion.
- Use a network simulator with known ground truth and realistic outage scenarios to validate the proposed method.
- Analyse the results and suggest practical improvements to existing methods for monitoring and observing network outages.
The skills you bring:
- Studies in Engineering Physics, Applied Mathematics, Data Science, Computer Science, or a similar field.
- A solid background in statistics and time-series analysis.
- An analytical and structured approach to problem-solving.
- An interest in data-driven methods and machine learning.
- Ability to work independently as well as collaboratively.
- Previous knowledge of Radio Access Networks is beneficial but not required, as relevant knowledge will be introduced during the thesis.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Linköping
Req ID: 791320
Ansök till tjänsten
Master Thesis: Estimating End-User Impact of Radio Network Outages
Ny
OM FÖRETAGET
Ericsson AB
