i2CAT bets on the potential of Machine Learning and Artificial Intelligence to optimise radio access in mobile networks

02/09/2019

Thanks to a Tecniospring grant, Jessica Moysen will investigate these new methodologies in the context of a real operational network collaborating with the Finnish company Elisa

Through a collaboration with i2CAT, the outreach solutions and algorithms are expected to have direct applications and a potential transfer to society

Jessica Moysen has been awarded a TecnioSpring grant to investigate in the application of new process automation methodologies within radio access network in mobile networks. This grant will allow her a one-year stay in the Finnish company Elisa to carry out an ambitious research project and one year in i2CAT to transfer the knowledge gained during the secondment.

The main goals of the project are:

  • Investigating Machine Learning and Artificial Intelligence solutions that allow mobile network operators to become proactive by anticipating users’ behaviours and making decisions accordingly.
  • Mobility management optimisation by exploiting Big Data analytics discovering UE patterns from geo-spatial time series.
    • Finding mobility patterns based on historical statistics to optimise UE mobility.
    • Developing a data-driven approach for Mobilty Robustness Optimisation (MRO).

The work is deployed in the context of a real operational network and utilizes real inputs from it, thus solutions and algorithms to be proposed have a direct application and potential transfer to society.

 About the researcher

Jessica Moysen received her PhD in Telecommunications in 2016 from the Universitat Politècnica de Catalunya (UPC, Barcelona-TECH). She is currently a Visiting Researcher at Elisa, Helsinki, Finland. She has been awarded with the TECNIOspring Plus fellowship to develop applied research at both the i2CAT Foundation and at the second mobile operator in Finland (Elisa). Her research activities are focused on the field of wireless communications with experience in the development of Artificial Intelligence (AI) and Machine Learning (ML) solutions for the optimisation of radio access in mobile networks. Her research topics cover Mobile Network Optimisation (MNO), Self-Organizing Networks (SONs) and Mobility Management. In 2018, she took part in one of the projects selected by The Collider, a tech-transfer programme of Mobile World Capital Barcelona that connects scientific and entrepreneurial talent to create disruptive technology- based startups. From 2016 to 2018, she joined the Wireless Communications and Technologies Research Group (WiComTec) of the Signal Theory and Communications Department (TSC) at UPC with a Post doctoral position. In 2012, Ms. Moysen joined the Centre Tecnològic Telecomunicacions Catalunya (CTTC) with a grant of the Spanish Ministry of Science and Innovations (FPI) to pursue a PhD in Telecommunication Engineering. In 2014, she worked for 4 months at Ericsson Research in Linköping (Sweden) under the supervision of Dr. Mehdi Amirijoo, head      of the radio network research group, thanks to a grant for research stays from the Spanish Ministry of Science and Innovations. Ms. Moysen has expertise working in research centers, academia and projects with partners from the industry.

 

About the project

The Re-thinking Self-Organising Networks for 5G (RETHSON-5G) project will contribute to define a zero-touch network optimisation framework that enables mobile operators to automate O&M tasks. The objective is to introduce intelligence into the network to facilitate flexible solutions. The framework must be capable of extracting the most relevant information out of a wealth of operational data measured in complex ultra-dense networks and of making better decisions for the operator and the end-user.

By exploiting this huge amount of data, the project aims at creating an AI-based optimization solution that prevents connectivity issues before the arise, i.e., by predicting mobility problems, congestion or failures the tool suggests actions to be taken, so engineers can act to avoid problems before they happen. Therefore, guarantee QoS offered to end users.

The participation of the host organisation abroad (Elisa) in RETHSON-5G is key and very valuable for the applicability and technology transfer. Elisa is the second mobile operator in Finland, one of the countries in which mobile phone industry and its research is of more importance. It is important to note that Elisa has worked with Nokia on a number of network upgrades and 5G-related testing. Therefore, based on operator’s trials in Tampere (Finland) and near Elisa facility in Helsinki, a network rollout involving new solutions can be tested, which constitutes and important value for the applicability of the research.

During the second year of the project, activities will be developed in the context of the 5GBarcelona alliance in which i2CAT is currently involved. Indeed, i2CAT is one of the founding members of this initiative which should transform Barcelona and Catalonia in one of the innovation hubs in Europe in the field of 5G technologies. 5GBarcelona is based on an experimental infrastructure in the Barcelona metropolitan area that acts as a technological laboratory for the validation of 5G technologies and services, so it perfectly suits the current proposal of RETHSON-5G. The leading role of i2CAT allows for the work to be developed in that framework and promotes the creation of prototypes and applied research.

 

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