Towards an Intelligent and Secure 5G Ecosystem for the Transformation and Digitalization of Societies Through Artificial Intelligence

Artificial intelligence (AI) has transformed our way of perceiving and interacting with technology, by providing state-of-the-art solutions for challenging problems across the tech-spectrum. The main objective of this cluster of projects is to investigate, develop, adapt, integrate and evaluate state-of-the-art machine learning (ML) techniques, which are suitable for modeling and prediction using datasets collected for complex real-world telecommunications applications. Given the applications of interest for Ericsson Inc., we will focus on ML techniques:

Automated Monitoring and Orchestration of Cloud Native IMS VNFs.

By virtualizing all the various appliances in the network, Virtual Network Functions (VNF) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native VNF. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and scaling with the dynamic network requirements beside self-healing and automated upgrading and updating of the VNFs.

eQuiet – Étude et développement d’un bouchon d’oreille intelligent pour chevaux

Ce projet vise à étudier et développer une preuve de concept d’un bouchon d’oreille pour chevaux. Les bouchons d’oreille sont utilisés pour réduire le niveau sonore des chevaux afin de réduire les distractions et d’améliorer leur concentration. Toutefois, le niveau d’atténuation des bouchons disponible sur le marché est limité. De plus, on dénote un intérêt grandissant pour le monitorage des signes vitaux des chevaux. Ceci permet d’assurer la santé des chevaux dans plusieurs domaines tel que le dressage, les courses et les calèches.

Disaster Recovery as a Green Cloud Service: Balancing Risk, Cost, and Carbon

Unlike centralized computing, which is typically performed in a single data-center, Cloud computing enables the computation to be spread across multiple geographically distributed data-centers which are abstracted as a single system by the Cloud management layer. This computational model enables disaster recovery (DR) by re-establishing the services provided by a data-center affected by the disaster in another healthy data-center capable of hosting the applications providing these services.

All Digital, Multi-Standard Highly Efficient Transmitter for Mobile Communication BaseStation Applications

A novel transmitter architecture which presents more power efficiency than that of the transmitters being used currently in mobile communication base stations, is proposed in this research project. The result of this research fills the gap between the theoretical idea behind this transmitter structure and its practical usage in cellular network base stations. This transmitter can operate over a wide frequency range and with different mobile communication signal standards very power efficiently while maintaining the quality of the transmitted signal.

"Performance Optimization in 3GPP<->WiFi Traffic Steering *Renewal, previous title ""Stochastic Control in Network Coding Enabled Wireless Systems Year One"""

The mobile traffic has been increased significantly both in volume and in the variety of services in the new generation of broadband mobile networks. This made mobile operators to think about new approaches of data forwarding in wireless cellular networks. With this motivation, mobile operators have started to deploy WiFi to enhance the cellular network capacity. This is done by providing a seamless traffic steering between WiFi and cellular network.

Scalability management for virtualized IMS

IP multimedia subsystem has been identified by mobile network operators as a promising framework for deploying VoLTE and rich communications services. Offering these services in efficient manner makes it even more attractive. Virtualization represents the suitable concept to achieve this. Moreover, deploying IMS in virtualized environment becomes a solution of great potential especially for multi-tenant application providers. This project aims at defining and validating elasticity management approaches of virtualized IMS based on SLA.

Content centric networks

The advent of smartphones and the associated change in usage patterns indicates that carrier voice revenues are constantly going down and are expected to almost vanish in the near future. Data revenues are picking up but not at a rate which will make up for the shortfall in voice revenues. Also, the increase in data revenue is accompanied by a corresponding increase in traffic. This leads to higher costs in deploying and operating networks as well as a significant growth in network complexity. In this project we will be working on

Lossless Ethernet

Telecom operators are demanding more flexible, scalable and energy efficient products. As a system integrator managing networks for operators, Ericsson realize that the benefits of using modern and improved systems is becoming even more critical, as they offer a reduced Operational and Capital Expenditure (i.e. OPEX and CAPEX) of Information and Communication Technology (ICT) systems. The goal of this project is to develop a mechanism to prevent congestion in the network, prevent packets from being dropped and to guarantee delivery of packets between collaborating end-hosts.