Master's Thesis Project: Automatic Physical Cell Identity planning using Machine Learning

Rekryterare
Ericsson
Plats
Lund, SE
Annonserat
den 11 november 2021
Stängs
den 1 december 2021
Ref:
626842-en_US
Kategori
Projektledning
Anställningsform
Tillsvidare
Sysselsättning
Heltid
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we've made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

Our team

At 5G Baseband System Management our main task is to specify the wanted behaviour of advanced radio network functions for the 5G NR RAN. Additionally, these solutions have to be complainant to 3GPP standardisation by developing and utilising simulators which optimise signal processing algorithms, develop baseband architectures, collect and analyse data from customer networks and perform troubleshooting.

We work with technical innovation where emphasis is put on RF design, product performance, hardware architecture where complexity, power efficiency, signal processing, and radio algorithms is at the heart of what we do.

We work with signal processing, Radio Resource Management, Physical layer algorithms, Multi-Antenna radio communication, development of 5G-software simulations, supporting the deployment of our new innovative 5G products in live networks, and many more activities are what we carry out!

Our Exciting Opportunity

In 5G networks, each cell is associated with a physical cell identity (PCI) that is used to distinguish different cells. As the 5G networks grow physical cell identity (PCI) planning becomes more crucial since the number of unique PCIs is limited (limited number of reference signals and PCI values). Many factors are involved such as multiple frequency bands, antenna heights, geography, different radio configurations, etc. Additionally, as more cells are going to be added, the PCI planning will be changing constantly. Nevertheless, it is possible to perform measurements and analysis on those parameters. Areas of interests include beam management, cell coverage, cell and sector clusters and patterns and so on.

Thesis Description

This research effort will focus on developing a tool to automate the generation of the PCI planning and also to constantly measure and heal the planning based on diverse parameters. We are looking for two students to join this project. The work will be done at Ericsson in Lund, Sweden.

You will

Study, evaluate performance and analyse the optimal PCI planning using simulation to find out how to:
  • Generate an algorithm which be able to automatically allocate unique PCI to each cell based on different initial conditions/configurations.
  • This algorithm must be able to automate its PCI planning when the network suffers any impact on configuration, conditions or abnormal behaviour.
  • The algorithm must measure regularly its performance and improve the PCI planning based on performance indicators.


Qualifications

  • Final year Master's student with a background in electrical engineering, computer science, computer engineering, or similar.
  • Experience/completed courses in wireless communication, RF, and/or digital signal processing.
  • Experience with/completed courses in AI/ML algorithms within supervised and unsupervised learning.
  • Experience in coding system Python, TensorFlow or any other coding tool.
  • Experience in using simulation tools, preliminary MATLAB.


What´s in it for you?

Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds - you will be redefining it. You won't develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.

What happens once you apply?

To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

Please compile your Cover Letter, CV and Transcript of Records into one PDF file and submit with your application.

The process is ongoing, so make sure to apply as soon as possible!

Location: Lund, Sweden.

Recruiter: Sylwia Kwiecien sylwia.kwiecien@ericsson.com

Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.

Ericsson complies with applicable country, state and all local laws governing nondiscrimination in employment in every location across the world in which the company has facilities. In addition, Ericsson supports the UN Guiding Principles for Business and Human Rights and the United Nations Global Compact.

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.

Ericsson expressly prohibits any form of workplace harassment based on race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetic information.

Primary country and city: Sweden (SE) || || Lund || [[mfield2]]

Req ID: 626842

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