Master Thesis: Energy efficient networks using reinforcement learning

Rekryterare
Ericsson
Plats
Stockholm, SE
Annonserat
den 19 november 2021
Stängs
den 23 november 2021
Ref:
620002-en_US
Kategori
Nätverk
Anställningsform
Tillsvidare
Sysselsättning
Heltid
Why is Ericsson a good place to work?

Ericsson enables communications service providers to capture the full value of connectivity. The company's portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency, find new revenue streams, and create new user experiences. Ericsson's investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world ensuring our solutions - and our customers - are at the forefront of innovation. We support networks that connect more than 2.5 billion subscribers. With over 100,000 employees and customers in 180 countries, we combine global scale with technology and service leadership. 40 percent of the world's mobile traffic is carried over an Ericsson network. And, our Technology for Good and Connect to Learn programs include creating technology that makes it easier to save lives, feed societies, bring technology to emerging markets and connectivity to remote areas, and grow businesses and prosperity.

At Ericsson, we give our employees the freedom to think big and navigate their career, on a global scale. We create technology that helps others, from helping people enjoy their favourite content to helping people recover from natural disasters by enabling better communications between rescue workers. Your ideas and innovations can turn into achievements that impact society and change the world, creating new connections, new possibilities, and new capabilities. We find that Ericsson is at its best when we bring together the diverse skills of our people. Working across business areas, across cultures, across geographical borders, across technical disciplines. More often than not, across ground-breaking solutions. Next generation technology can be staggeringly complex. But the simpler it is to use; the more people benefit from it. Join us and help build technology that makes it simple to connect with information, business, societies, and each other.

Our Exciting Opportunity

At Ericsson we are constantly exploring new approaches that fully applies the potential of Artificial Intelligence (AI) to reduce the network energy consumption. The challenge of continuing to provide best-in-class solutions for 5G and beyond radio networks will require handling many diverse deployment scenarios, for example dense megacities or rural areas. Generally, mobile network deployments are dimensioned with respect to peak traffic demands. However, this extreme capacity is not needed all the time since traffic varies. From both a cost and energy consumption point of view, it is not efficient if additional booster cells are operating continuously. The optimal energy saving decision depends on many factors including the load situation at different nodes, quality of service requirements, number of active devices, etc.

A promising new research direction in the optimization of future radio networks is data-driven machine learning that can autonomously tune the cellular network. These machine learning techniques are further motivated by the recent advances in this area, as well as the availability of large amounts of labeled and unlabeled data generated in cellular networks.

The goal of this thesis work will be to explore the available reinforcement learning (RL) schemes and identify those that could be suitable for improving the network energy efficiency. One example action an agent could perform is to select which of the booster cells can be deactivated based on the current traffic situation. The experiments will be carried out in a simulation environment and will preferably be distributed over a computation cloud / cluster for efficiency.

You will

  • Understand how network energy consumption is calculated
  • Identify suitable reinforcement learning methods
  • Perform simulation experiments


To be successful in the role you must have

  • One semester left och your master studies within Artificial Intelligence, Machine Learning or Wireless Systems
  • Basic understanding of wireless communication systems and techniques.
  • Knowledge of machine learning in general and reinforcement learning in particular is a big plus.
  • Familiarity with machine learning tools such as k-NN, SVMs, neural networks, or random forests, etc., is a plus.
  • Excellent programming skills in more than one general purpose or scripting language (e.g., Python, Java, C/C++).
  • Excellent communications skills.
  • Fluent in English, both written and spoken.
  • Self-motivated and positive attitude.


Application

Please send in your application in English as soon as possible since the process is ongoing. The location for this thesis project will be the Kista office in Stockholm.

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

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do.

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson's Code of Business Ethics.

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

Job details: Researcher

Primary Recruiter: Jacob Elmeljung

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