News
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2024-12-06
The project DRIVE invited companies to a joint workshop
On November 20–21, the DRIVE project at Computer Science invited partner companies to a joint two-day workshop. DRIVE's overarching goal is to conduct research and education in data-driven and latency-sensitive mobile services for future mobile networks.
This year, participants gathered at Karlstad University to learn about the latest research in the field. The workshop, an annual event within the project, provides opportunities for networking, knowledge sharing, discussions on current topics, highlighting synergies between subprojects, and exploring future research directions. DRIVE is built on close collaboration between Karlstad University and seven partner companies.
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2024-12-04
Karlstad University joins 5G-DiGITs: Bridging Education and Industry in Advanced 5G Technology
The 5G-DiGITs project has just started, and Karlstad University will play a key role in its development.
5G-DiGITs is a multidisciplinary Erasmus+ initiative addressing the growing demand for education and training in advanced 5G technologies. It brings together a consortium of 12 organizations from Germany, Greece, Spain, Lithuania, Malta, Ireland, Belgium, and Sweden to create state-of-the-art curricula and continuous education programs aligned with evolving industry needs.
Karlstad University will contribute to the development of innovative course modules and practical learning strategies. -
2024-12-02
Researchers in Computer Science received best paper award
Giuseppe Caso, Mohammad Rajiullah, and Anna Brunstrom, members of the Distributed Intelligent Systems and Communications (DISCO) group of the Computer Science Department, won the Best Paper Award at the 2024 IEEE Conference on Standards for Communications and Networking (IEEE CSCN’24).
The conference was held in Belgrade on November 25-27 with a large participation from academia and industry sectors.
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2024-10-16
The 1st 6G-PATH Open Call is now live: Karlstad University makes available its testbed for Infrastructure Extensions
Karlstad University is calling on tech innovators to participate in the 1st Open Call of the 6G-PATH EU project. This initiative offers a unique opportunity for startups, and research institutions to develop and test next-generation Beyond-5G (B5G) and 6G technologies.
The Open Call features a track for “Infrastructure Extensions”, targeting entities that want to integrate enhanced technologies in one of the 6G-PATH infrastructures. Up to ten proposals will be granted, with a maximum budget of € 60,000 over a duration of six months. The deadline for submitting a proposal is November 21, 2024, but an initial Feasibility Check should be submitted by November 6.
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2024-10-14
Three Innovative B5G/6G Projects at Karlstad University
Karlstad University continues to solidify its position as a key player in the European research on Beyond 5G (B5G) and 6G mobile technologies. The Distributed Intelligent Systems and Communications (DISCO) group, part of the Computer Science Department, has secured funding for three exciting new projects. These projects, which are part of ongoing European initiatives, aim to explore how future mobile networks can be improved, focusing on satellite integration, time-sensitive services, and immersive remote education.
MAGDALENA (Measuring 5G and Satellite Network Integration) began on June 1 and will last for six months.It uses the 6G-SANDBOX testbed at the University of Malaga (Spain) to explore the integration of satellite components in B5G/6G networks. “We will conduct a measurement campaign to assess network performance, and the results will provide valuable benchmarks for industries, SMEs, and other research institutes”, says Mohammad Rajiullah, Senior Lecturer in Computer Science and part of the DISCO group.
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2024-09-20
New PhD student joins the Drive project
We are pleased to welcome our new PhD student, Emad Uddin, who will work on the Drive project, focusing on improving service quality in 5G and 6G networks through data-driven analysis.
The core of the project is to analyze network traffic over time using statistics and machine learning to make better decisions and adapt traffic based on the network’s status. By leveraging the vast amount of information and statistics available on network links and issues, Drive aims to proactively enhance the service quality for end users. To achieve this, the project requires someone combining advanced statistical methods with a practical understanding of networks.