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Internship | AI/ML-based Radio Resource Management in Beyond-5G Networks

Posted 23 Mar 2024
Work experience
0 to 1 years
Full-time / part-time
Full-time
Job function
Degree level
Required languages
English (Fluent)
Dutch (Fluent)

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In the proposed project, the student will apply AI/ML techniques to develop (and assess) resource management solutions in a relevant 5G mobile networking context.

WHAT WILL YOU BE DOING?

Currently undergoing deployment, 5G mobile network technology has been developed for the efficient and effective support of innovative services, primarily driven by the requirements of so-called ‘verticals’, e.g. Media & Entertainment (e.g. AR/VR), Automotive/Smart Mobility (e.g. autonomous driving), e-Health (e.g. remote VR-based paramedic assistance) and Smart Industry (e.g. interacting robots). These services/applications have their own specific characteristics and (mostly highly challenging) performance requirements in terms of e.g. data rates, packet latency and reliability.

A key challenge for a network operator / service provider is the efficient management of radio network resources to fulfill the service/application-specific requirements. Such radio resource management comprises a suite of mechanisms (incl. admission control, scheduling, beamforming, adaptive modulation and coding) that operate on different timescales and need to be suitably configured to the spatio-temporally varying characteristics of e.g. traffic, service mix, user mobility and the propagation environment. Beyond-5G networks are envisioned to employ AI/ML methodologies in an aim to optimally adapt resource management decisions to any given context.

Core focus of the proposed graduation project is to investigate the potential of AI/ML methodologies to address a given challenging 5G resource management problem. More specifically, the project comprises four key steps:

1. To design one or more AI/ML-based solutions for doing radio resource management in the context of a given formulated problem. Considering the resource management problem as studied in [1], we propose to consider reinforcement learning-based solutions applying echo state networks to learn the performance effects of different management actions . Appropriate variations of these methodologies will be considered in the given context as a basis for learning what works best.

2. To model and implement the essential aspects of the considered 5G network (i.e. those aspects that are relevant for our study), its traffic, services, users and the propagation environment in a system-level simulator, which will be used as a tool to assess the AI/ML-based resource management solutions and compare them with properly chosen ‘traditional’ (heuristic) resource management approaches serving as a baseline.

3. To use the developed network simulator and the incorporated resource management solutions to carry out an extensive set of numerical experiments in order to fairly and neutrally assess the pros and cons of both the AI/ML-based resource management solutions. This includes consideration of the ‘cost of learning’ in the AI/ML-based solutions, as well as sensitivity analysis w.r.t. a variety of relevant scenario aspects.

4. To derive conclusions regarding the merit of applying the considered AI/ML methodologies in the context of the considered resource management problem and, if possible, in a more general sense. Also, to derive recommendations as to other resource management problems for which the considered AI/ML methodologies may also (not) work, or other AI/ML methodologies that may be worth investigation in the context of resource management in (beyond) 5G networks.

It is noted that the project likely involves an iterative approach revisiting steps (i) to (iv) a few times as you will learn about improved management solutions from doing the simulation-based assessments.

If awarded, which should be clear in the course of June/July ’19, the graduation project will be carried out as part of the international BRAINS project, cooperating with various partners within the EU. Otherwise, it will be carried out purely within the ‘Networks’ department of TNO, where you will of course be able to interact within different colleagues, including those in the ‘Data Science’ department, and be exposed to other on-going projects.

WHAT DO WE REQUIRE OF YOU?

You are a graduate student pursuing a Master's degree, preferably in the direction of Computer Science, Electrical Engineering or (Applied) Mathematics. You have affinity with / interest in AI/ML methodologies, computer simulations and mobile networks, and have programming experience. You have an enterprising, flexible and cooperative nature. You are also communicative, creative, innovative and eager to learn. Duration of the graduation project is seven to nine months. It is possible, from TNO’s side perhaps even somewhat preferred, though certainly not mandatory, to combine your internship project with this graduation project. This will of course allow more extensive achievements.

WHAT CAN YOU EXPECT OF YOUR WORK SITUATION?

TNO is an independent research organisation whose expertise and research make an important contribution to the competitiveness of companies and organisations, to the economy and to the quality of society as a whole. Innovation with purpose is what TNO stands for. We develop knowledge not for its own sake but for practical application. To create new products that make life more pleasant and valuable and help companies innovate. To find creative answers to the questions posed by society. We work for a variety of customers: governments, the SME sector, large companies, service providers and non-governmental organisations. We work together on new knowledge, better products and clear recommendations for policy and processes. In everything we do, impact is the key. Our product and process innovations and recommendations are only worth something if our customers can use them to boost their competitiveness.

WHAT CAN TNO OFFER YOU?

You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.

HAS THIS VACANCY SPARKED YOUR INTEREST?

Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.

Innovation with purpose: that is what TNO stands for. We develop knowledge not for its own sake, but for practical application. TNO connects people and knowledge to create innovations that boost the competitive strength of industry and the well-being of society in a sustainable way.

Management Consulting
Den Haag
3,300 employees

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