Machine intelligence algorithm for Automatic Bug Assignment in 5G

Job Description

Date: Oct 7, 2019

Product Development Unit Traffic Control, PDU TC, is a Product Development Unit at Ericsson which is responsible for the development and maintenance of software products for the coming 5G networks. This unit is at the forefront of 5G development and is using many new technology concepts such as: Cloud implementation and Virtualization, used to enable a more flexible use of hardware, Data mining, Big Data, Machine Learning and Artificial Intelligence which are used to understand and adapt the complex networks.

 

Background

Mobile networks are used all over the world and are the corner stone for the networked society, where everything shall be connected. To support the vast amount and diversity of data expected in future networks, Ericsson are developing products to drive and support the networked society. The subjects for Master Thesis are defined to investigate and develop algorithms, architecture, tools etc. to support huge increase of speech, data and massive IoT for Radio Access Networks.

 

Thesis Description

When a problem is discovered in the mobile network in Ericsson, a bug report is created. One of the first steps in the analysis when this happens is finding the correct team to investigate the issue. This analysis has previously been performed manually work, but today it is partly automated for 4G by running an AI algorithm.

The main goal of this master thesis is to adapt and improve the existing machine intelligence algorithm. These are the two main sub goals to achieve this:
 

  • Investigate the modifications needed to use the current algorithm for 5G.
  • Investigate if inclusion of more data into the algorithm can improve the result of the algorithm. This will be performed by using logs that exists in the database today, but are not used by the algorithm.

 

The thesis will be concluded with a result presentation for the Ericsson team.

 

Qualifications

This project aims at students in electrical engineering, computer science, computer engineering or similar.

Extent

1-2 students, 30hp each

Location

Ericsson AB Mjärdevi, Linköping

Preferred Starting Date

Spring 2020

 

For any queries please contact recruiter Sarah Lashari, sarah.lashari@ericsson.com 

Last date for application is 31st of October 2019. 

 

 

 

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This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training and development.

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Primary country and city: Sweden (SE) || || Linköping || R&D

Req ID: 300221